WO2019001445A1 - Procédé de gestion d'ontologies et plate-forme m2m - Google Patents

Procédé de gestion d'ontologies et plate-forme m2m Download PDF

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Publication number
WO2019001445A1
WO2019001445A1 PCT/CN2018/093000 CN2018093000W WO2019001445A1 WO 2019001445 A1 WO2019001445 A1 WO 2019001445A1 CN 2018093000 W CN2018093000 W CN 2018093000W WO 2019001445 A1 WO2019001445 A1 WO 2019001445A1
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mapping
ontology
resource
platform
identifier
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PCT/CN2018/093000
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English (en)
Chinese (zh)
Inventor
张锋
张永靖
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华为技术有限公司
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Priority claimed from CN201710677547.9A external-priority patent/CN109246660B/zh
Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Priority to EP18825465.0A priority Critical patent/EP3637273A4/fr
Priority to KR1020207002069A priority patent/KR102287649B1/ko
Publication of WO2019001445A1 publication Critical patent/WO2019001445A1/fr
Priority to US16/728,859 priority patent/US11875117B2/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor

Definitions

  • the present application relates to the field of information technology, and in particular, to a method for managing an ontology and an M2M platform.
  • Semantic technology is a technique for describing data and entities in the real world so that machines can understand and process data and entities based on semantic descriptions.
  • the introduction of semantic technology in machine to machine (M2M) communication enables semantic description of resources and enhances the ability of M2M communication in interoperability, resource query, data fusion processing and knowledge reasoning.
  • Ontology is the foundation of semantic technology. It solves the knowledge sharing and reuse in the field by unified representation and organization of knowledge in a certain field.
  • the semantic functions in M2M communication can perform semantic annotation based on ontology, and can infer more potential information based on the annotated semantic data, and use the ontology for resource combination.
  • the present application provides a method for managing an ontology and an M2M platform for solving the problem of semantic inconsistency in different industries and different standards in M2M communication in the prior art.
  • the application provides a method for managing an ontology, the method comprising: a machine-to-machine M2M platform receiving an ontology mapping request sent by a first application entity, where the ontology mapping request carries a first ontology identifier and a second ontology
  • the identification and mapping method description information is used to specify a manner of establishing a mapping, such as a policy selection of a mapping, a selection of a mapping algorithm, and a representation manner of a mapping result.
  • the M2M platform determines the first body and the second body according to the first body identifier and the second body identifier, and introduces the first body and the second body.
  • the M2M platform determines a mapping manner according to the mapping method description information, and establishes a mapping between the first body and the second body according to the determined mapping manner, where the mapping between the first body and the second body includes a vocabulary in the first body Mapping to vocabulary in the second ontology.
  • the M2M platform stores the mapping between the first ontology and the second ontology in the ontology mapping resource, and returns the identifier of the ontology mapping resource to the first application entity.
  • the M2M platform can establish a mapping between the first body and the second body according to the request of the application entity, and the mapping between the first body and the second body is not pre-configured by a person, but by M2M.
  • the platform is automatically established according to the mapping manner specified by the mapping method description information, and the time-consuming reduction and the cost are reduced compared to manually mapping the mapping between the entities.
  • the method for establishing the mapping between the entities may be applied to a specific ontology field, and may be applicable to any scenario in which an inter-subject mapping needs to be established, and the application range is broad.
  • the mapping between the first ontology and the second ontology is stored in the resource (ontology mapping resource), which facilitates the application entity to invoke or share the mapping.
  • the M2M platform may receive a semantic conversion request sent by the second application entity, where the semantic conversion request carries the identifier of the first resource and the identifier of the ontology mapping resource.
  • the first resource refers to the first ontology
  • the semantic conversion request is used to request the M2M platform to convert the semantic description based on the first ontology of the first resource into a semantic description based on the second ontology, and the second application entity and the first application entity For the same or different application entities.
  • the M2M platform locates the ontology mapping resource according to the identifier of the ontology mapping resource, obtains a mapping between the first body and the second body from the ontology mapping resource, obtains the first resource according to the identifier of the first resource, and obtains the first resource according to the first entity and the second Mapping between the ontology, determining an equivalent semantic description of the first resource based on the second ontology; returning an equivalent semantic description to the second application entity.
  • the M2M platform provides a function of semantic description conversion of the resource to the application entity, and the application entity may query the platform for the equivalent semantic description of the semantics in the first ontology in the second ontology, so that the application entity understands the reference to different ontology. Resources.
  • the M2M platform may receive a query request sent by the second application entity, where the query request carries the first query statement and the ontology mapping resource based on the first ontology. And the second application entity and the first application entity are the same or different application entities; the M2M platform locates the ontology mapping resource according to the identifier of the ontology mapping resource, and obtains the mapping between the first body and the second body from the ontology mapping resource The M2M platform obtains a query result according to the mapping between the first ontology and the second ontology and the first query statement in the resource that references the first ontology and the resource that references the second ontology; and returns the query result to the second application entity. .
  • the application entity can use the query statement based on an ontology to perform the query operation in the resources that refer to different ontology, instead of using different query statements to perform the query, the query operation is simplified, and the query efficiency is improved.
  • the M2M platform performs a query according to the mapping between the first ontology and the second ontology and the first query statement in the resource that references the first ontology and the resource that references the second ontology, and obtains the query result, including
  • the implementation manner is as follows: the M2M platform determines, according to the mapping between the first body and the second body, a second query statement based on the second body that is equivalent to the first query statement; and the resource that references the first body according to the first query statement The query is performed to obtain the first query result; and the query is performed in the resource that references the second ontology according to the second query statement to obtain the second query result; the first query result and the second query result are used as the query result.
  • the above query method is more efficient.
  • the M2M platform performs a query according to the mapping between the first ontology and the second ontology and the first query statement in the resource that references the first ontology and the resource that references the second ontology, and obtains the query result, including
  • the implementation manner is as follows: the M2M platform determines, according to the mapping between the first ontology and the second ontology, an equivalent semantic description based on the first ontology of the resource that references the second ontology; and the M2M platform refers to the first ontology according to the first query statement.
  • Querying in the resource obtaining the first query result; and querying in the resource referring to the second ontology according to the first query statement and the equivalent semantic description, obtaining the second query result; using the first query result and the second query result as the The result of the query.
  • the above query method is more efficient.
  • the M2M platform may receive a control command request sent by the second application entity, where the control command request carries the first control command based on the first body and the first An identifier of a target device, the first target device is referenced to the second body, and the second application entity is the same or different application entity as the first application entity; and the M2M platform determines, according to the mapping between the first body and the second body, a control command equivalent second control command based on the second body; transmitting a second control command to the first target device.
  • the application entity may control the first target device that references the second body according to the first control command based on the first body, simplifying the process for the application entity to control the device that references the different body, and improving the M2M communication system. effectiveness.
  • control command request sent by the second application entity further carries an identifier of the ontology mapping resource; after receiving the control command request, the M2M platform locates the ontology mapping resource according to the identifier of the ontology mapping resource, and maps from the ontology. A mapping between the first body and the second body is obtained in the resource, and then the second control command based on the second body equivalent to the first control command is determined according to the mapping between the first body and the second body.
  • the above implementation can reduce the computational burden of the M2M platform and improve system efficiency.
  • the control command sent by the second application entity simultaneously carries the identifier of the first target device and the identifier of the second target device, where the first target device refers to the second body, and the second target device refers to the first Ontology.
  • the M2M platform determines that the entity referenced by the second target device is the same as the body on which the first control command is based, and may directly send the first control command to the second target device.
  • the M2M platform determines that the second body referenced by the first target device is different from the first body that is based on the first control command, and determines a second control command based on the second body that is equivalent to the first control command, to the first target.
  • the device sends a second control command.
  • the mapping method description information may include a mapping policy parameter
  • the M2M platform determines a mapping algorithm strategy according to the mapping policy parameter, where the mapping algorithm strategy includes any one of a single mapping algorithm strategy, a multiple mapping algorithm strategy, and an algorithm traversal strategy.
  • the single mapping algorithm strategy is used to determine a single mapping algorithm as a mapping algorithm between the first ontology and the second ontology
  • the multi-mapping algorithm strategy is used to determine at least two mapping algorithms as mapping between the first ontology and the second ontology.
  • the algorithm, the algorithm traversal strategy is used to determine to establish a mapping between the first ontology and the second ontology by traversing all mapping algorithms.
  • the mapping policy parameter in the mapping method description information may be defaulted, and the M2M platform may determine that the mapping algorithm policy is a preset policy, such as a single mapping algorithm policy.
  • the application entity may provide a mapping algorithm strategy used for mapping between the first body and the second body, and instruct the M2M platform to determine a mapping manner between the first body and the second body according to the mapping algorithm policy provided by the application entity. To obtain a mapping that meets the needs of users.
  • the M2M platform may determine a mapping algorithm between the first body and the second body according to the mapping algorithm policy and the preset at least two mapping algorithms, and the preset at least two mapping algorithms include linguistic features. At least two of an extraction algorithm, a structural feature extraction algorithm, an external resource acquisition algorithm, and a logical inference algorithm.
  • the mapping algorithm policy may be provided by an application entity or a predefined mapping algorithm policy predefined by the M2M platform. Which one or more mapping algorithms are specifically used may be specified by the application entity through the mapping method.
  • the application entity may provide a mapping calculation used by the mapping between the first body and the second body, and instruct the M2M platform to determine a mapping manner between the first body and the second body according to a mapping algorithm provided by the application entity, and further Get a mapping that meets your needs.
  • the mapping method description information may include mapping evaluation parameters, and the M2M platform determines the evaluation manner of the mapping result according to the mapping evaluation parameter, and the evaluation manner includes an interaction evaluation mode or an automatic threshold mode, and the interaction evaluation mode is used to determine the M2M.
  • the interaction between the platform and the first application entity implements an evaluation of the mapping result, and the automatic threshold mode is used to determine that the mapping result is evaluated by the M2M platform according to a preset threshold.
  • the mapping evaluation parameter in the mapping method description information may be defaulted, and the M2M platform determines that the evaluation manner of the mapping result is a preset evaluation manner, for example, the automatic threshold mode.
  • the application entity may provide an evaluation manner of the mapping result, and instruct the M2M platform to evaluate the mapping result of the first body and the second body according to the evaluation manner provided by the application entity, thereby obtaining a mapping that satisfies the user requirement.
  • the mapping method description information may include mapping expression parameters, and the M2M platform determines the expression manner of the mapping result according to the mapping expression parameters.
  • the expression of the mapping result may include a description manner of the mapping relationship, and the mapping relationship may be described by: equivalence (representing that the concepts in the two ontology are completely identical), and inclusion (representing that the concepts in the two ontology belong to the upper and lower parent-child relationship) Compatible (indicating that the concepts in the two ontology have similar parts, but not exactly the same), irrelevant (indicating that the concepts in the two ontology have no mapping).
  • the expression of the mapping result may also include the grammatical format of the ontology (or the schema of the ontology), and the grammatical format of the ontology refers to the way of organizing information, which may be: web ontology language (OWL), contextualized OWL (contextualized OWL, C-OWL), simple knowledge organization system (SKOS), rule interchange format (RIF), Semantic Web Rule Language (SWRL), and the like.
  • the application entity may provide a representation manner of the mapping result, and instruct the M2M platform to represent the mapping result of the first body and the second body according to the expression manner provided by the application entity, thereby obtaining a mapping that satisfies the user requirement.
  • the present application provides an M2M platform for performing the method of any of the above first aspects or any of the possible implementations of the first aspect.
  • the M2M platform includes means for performing the method of any of the above-described first aspects or any of the possible implementations of the first aspect.
  • the present application provides an M2M platform for performing the method of any of the above first aspects or any possible implementation of the first aspect.
  • the M2M platform includes a processor, a memory, and a communication interface, where the memory stores computer instructions for communicating with an application entity, the processor is coupled to the memory and the communication interface, and configured to The computer instructions stored in the memory and the communication interface are invoked to perform the method of the first aspect or any possible implementation of the first aspect described above.
  • the present application provides a computer readable storage medium having stored therein computer instructions that, when executed on a computer, cause the computer to perform any of the first aspect or the first aspect The method in the implementation.
  • the present application provides a computer program product, when run on a computer, causes the computer to perform the method of performing the first aspect or any possible implementation of the first aspect.
  • FIG. 1 is a schematic diagram of an M2M communication system
  • FIG. 2 is a schematic view of a body
  • 3a-3b are schematic diagrams of resource structures of an AE
  • FIG. 4 is a schematic flowchart of a method for managing an ontology according to an embodiment of the present disclosure
  • Figure 5 is a schematic diagram of a mapping between a "Product” ontology and a "Volume” ontology
  • FIG. 6 is a schematic diagram of ontology mapping in an embodiment of the present application.
  • FIG. 7 is a schematic diagram of a mapping process between a first body and a second body
  • FIG. 8 is a schematic diagram of a linguistic feature mapping process
  • FIG. 10 is another schematic flowchart of a method for managing an ontology according to an embodiment of the present disclosure.
  • FIG. 11 is another schematic flowchart of a method for managing an ontology according to an embodiment of the present disclosure.
  • FIG. 12 is another schematic flowchart of a method for managing an ontology according to an embodiment of the present disclosure.
  • 13 is a schematic diagram of device control in the field of smart home appliances
  • FIG. 14 is a schematic structural diagram of an M2M platform according to an embodiment of the present disclosure.
  • FIG. 15 is another schematic structural diagram of an M2M platform according to an embodiment of the present application.
  • the plurality referred to in the present application means two or more.
  • the terms “first”, “second” and the like are used only to distinguish the purpose of description, and are not to be understood as indicating or implying relative importance, nor as an indication. Or suggest the order.
  • the present application can be applied to M2M communication, such as M2M communication based on the oneM2M standard, or M2M communication based on standards specified by the European Telecommunication Standardization Institute (ETSI).
  • ETSI European Telecommunication Standardization Institute
  • 1 is a schematic diagram of an M2M communication system for providing common capabilities such as data access and storage, data sharing and transmission, group communication, subscription notification of data, security, billing, resource discovery, and the like.
  • the M2M platform 10 can access different types of M2M devices, such as devices 21 to 23 in FIG. 1, and these devices can be application service nodes (ASNs) or application dedicated nodes (ADNs).
  • ASNs application service nodes
  • ADNs application dedicated nodes
  • the M2M platform 10 can also provide an application access interface, allowing applications of different vertical industries to invoke the common capabilities provided by the M2M platform 10 through the access interface.
  • the application is also called an application entity (AE), as shown in FIG. AE31 ⁇ 33 in the middle.
  • AE
  • each physical entity such as a terminal device
  • a logical entity such as AE, information, etc.
  • resources can include sub-resources and attributes, and attributes are specific descriptions of resources for storage. Specific data for the resource.
  • the ontology "ontology" can provide vocabulary (terminology) for describing resources.
  • the concept of ontology is generally considered to include four main aspects:
  • Ontology is a commonly recognized knowledge that reflects a set of recognized concepts in related fields.
  • the goal of the ontology is to capture knowledge of the relevant domain, provide a common understanding of the knowledge in the domain, identify commonly recognized vocabulary in the field, and give a clear understanding of the relationship between these vocabulary and vocabulary from different levels of formalization. definition.
  • an abstraction of the 2906 unit of the 6th floor in the real world is obtained, and an ontology model of the M2M communication domain is obtained, which can use the shared vocabulary (floor, room, equipment, temperature, etc.) to the concept of the home field in the physical world, etc. Formal expression of each other's relationship.
  • a resource can reference an ontology, and a device in an M2M communication system can understand the semantics of the resource and the relationship of the resource with other resources based on the ontology.
  • FIG. 3a shows the resource structure of the application entity AE in the M2M communication system, and the AE includes a semantic descriptor sub-resource, which is used to describe the semantic information of the AE so that other application entities can pass the semantics.
  • the description sub-resource determines the functions and operations that the AE provides, and also determines the meaning of the data provided by the AE, such as the data type, unit, etc., to achieve data sharing between different application entities.
  • the semantic description sub-resource contains a descriptor attribute, and the descriptor attribute stores semantic triplet information, ie, subject, relationship, and object.
  • the semantic description sub-resource may further include an ontology reference attribute indicating an identifier of the ontology referenced by the semantic description sub-resource, such as a uniform resource identifier (URI) of the ontology.
  • URI uniform resource identifier
  • the ontologyRef attribute can also be directly used as an attribute of the AE.
  • mapping rules between two different ontology, and perform semantic conversion between different ontology according to the mapping rule.
  • mapping rules due to the large number of ontology in the M2M communication domain, it is difficult to implement mapping rules for different ontology, and the cost is high.
  • the embodiment of the present application provides a method for managing an ontology and an M2M platform, which solves the problem of semantic inconsistency in different industries and different standards in M2M communication in the prior art.
  • the method and the M2M platform are based on the same inventive concept. Since the method and the principle of solving the problem by the M2M platform are similar, the implementation of the M2M platform and the method can be referred to each other, and the repeated description is not repeated.
  • FIG. 4 is a schematic flowchart of a method for managing an ontology according to an embodiment of the present disclosure, where the method includes:
  • Step 101 The first application entity sends an ontology mapping request to the M2M platform, where the ontology mapping request carries the first ontology identifier, the second ontology identifier, and mapping method description information.
  • the first ontology and the second entity are two ontologys that need to establish a mapping, and the mapping method description information is used to specify a manner of establishing a mapping, such as a policy selection of a mapping, a selection of a mapping algorithm, and an expression manner of a mapping result.
  • Step 102 The M2M platform receives the ontology mapping request.
  • Step 103 The M2M platform determines the first body and the second body according to the first body identifier and the second body identifier.
  • each body has a unique identifier.
  • the M2M platform can locate the first body according to the first body identifier, and locate the second body according to the second body identifier, and then import the first body and the second body.
  • the first body and the second body may be located in a storage unit (such as a magnetic disk) of the M2M platform itself, or may be located in other storage devices than the M2M platform.
  • the first body and the second body may be located in the same ontology library, or may be located in different ontology libraries.
  • the so-called ontology library refers to a collection of multiple bodies.
  • Step 104 The M2M platform determines a mapping manner according to the mapping method description information, and establishes a mapping between the first body and the second body according to the determined mapping manner.
  • the mapping method refers to a mapping rule between two ontology.
  • the mapping manner further includes an evaluation manner of the mapping result, such as the mapping result is acceptable or unacceptable; optionally, the mapping manner further includes the mapping result. Representation.
  • the mapping between the first ontology and the second ontology includes mapping between the vocabulary in the first ontology and the vocabulary in the second ontology
  • FIG. 5 is a schematic diagram of mapping between the "Product” ontology and the "Volume” ontology, and the "Product” ontology Used to describe the attributes of a book audio, the "Volume” ontology is used to describe the attributes of a book.
  • the "book” sub-resource of the "Product” ontology is equivalent to the "Volume” ontology
  • the "Title” attribute of the “Book” sub-resource is equivalent to the “Title” attribute of the "Volume” ontology
  • "Book The "doi” attribute of the sub-resource is equivalent to the “isdn” attribute of the “Volume” ontology
  • the "author/author” attribute of the "book” sub-resource is equivalent to the "writer/author” attribute of the "Volume” ontology
  • “book The "short story” attribute of the sub-resource is equivalent to the "fiction" sub-resource of the "Volume” ontology.
  • the "Product” body also includes a digital video disc (DVD) sub-resource and a compact disc (CD) sub-resource.
  • DVD digital video disc
  • CD compact disc
  • Step 105 The M2M platform stores the mapping between the first ontology and the second ontology in the ontology mapping resource, and returns the identifier of the ontology mapping resource to the first application entity.
  • the mapping between the first ontology and the second ontology may be used as an attribute or a sub-resource of the ontology mapping resource.
  • the M2M platform can establish a mapping between the first body and the second body according to the request of the application entity, and the mapping between the first body and the second body is not pre-configured by a person, but by M2M.
  • the platform is automatically established according to the mapping manner specified by the mapping method description information, and the time-consuming reduction and the cost are reduced compared to manually mapping the mapping between the entities.
  • the method for establishing the mapping between the entities may be applied to a specific ontology field, and may be applicable to any scenario in which an inter-subject mapping needs to be established, and the application range is broad.
  • the mapping between the first ontology and the second ontology is stored in the resource (ontology mapping resource), which facilitates the application entity to invoke or share the mapping.
  • the M2M platform may determine the mapping manner according to the mapping method description information, and may include multiple implementation manners, including but not limited to the following:
  • the mapping method description information in the ontology mapping request is the default, and the M2M platform determines to use the preset mapping manner to establish a mapping between the first body and the second body.
  • the first application entity informs the M2M platform that the two ontologys that need to be mapped are the first ontology and the second ontology, but do not indicate the mapping manner of establishing the mapping, and the M2M platform establishes the first ontology and the second by using a preset mapping manner. Mapping between ontology.
  • the mapping method description information in the mode 2 and the ontology mapping request includes parameters for determining the mapping mode, and the M2M platform determines the mapping manner according to the parameters in the mapping method description information. It should be noted that determining the mapping manner may involve multiple aspects of parameters, and the mapping method description information may include parameters of some of the parameters of the multiple aspects. If the remaining parameters are default, the M2M platform may default.
  • the parameter is determined as a preset value, and the mapping manner is determined according to the preset value and the parameter included in the mapping method description information.
  • the mapping method description information includes a mapping policy parameter, and the value of the mapping policy parameter is “single mapping algorithm policy”, and the M2M platform may determine to perform ontology mapping by using a single mapping algorithm.
  • the mapping method description information in the mapping method defaults, that is, the first application entity does not specify which algorithm to use, and the M2M platform determines the mapping algorithm as a default algorithm, such as a linguistic feature algorithm.
  • the application entity may specify all or part of the parameters of the mapping mode, or may not specify the parameters of the mapping mode, and the M2M platform can determine the mapping mode between the entities, and the implementation degree of the technical solution is large, and the application entity is The method of requesting the establishment of mapping between ontology is flexible and convenient.
  • the M2M platform determines the mapping manner according to the parameters in the mapping method description information, including: the M2M platform determines the mapping algorithm policy according to the mapping policy parameter in the mapping method description information.
  • the mapping between ontology can adopt multiple mapping algorithms.
  • the so-called mapping algorithm strategy refers to the application mode of multiple mapping algorithms.
  • the mapping strategy parameters can include a single mapping algorithm strategy, a multi-mapping algorithm strategy or an algorithm traversal strategy, and a single mapping algorithm strategy.
  • the method for determining a single mapping algorithm as a mapping algorithm between the first ontology and the second ontology, the multi-mapping algorithm strategy is used to determine at least two mapping algorithms as a mapping algorithm between the first ontology and the second ontology, and the algorithm traversal strategy is used
  • a mapping between the first ontology and the second ontology is established by determining to traverse all mapping algorithms.
  • the mapping policy parameter in the mapping method description information may be defaulted, and the M2M platform may determine that the mapping algorithm policy is a preset policy, such as a single mapping algorithm policy.
  • the application entity may provide a mapping algorithm strategy used for mapping between the first body and the second body, and instruct the M2M platform to determine a mapping manner between the first body and the second body according to the mapping algorithm policy provided by the application entity. To obtain a mapping that meets the needs of users.
  • the M2M platform determines the mapping manner according to the parameters in the mapping method description information, including:
  • the M2M platform determines a mapping algorithm between the first body and the second body according to the determined mapping algorithm strategy and the preset at least two mapping algorithms, and the preset at least two mapping algorithms include a linguistic feature extraction algorithm and a structural feature extraction algorithm. At least two of the external resource acquisition algorithm and the logical reasoning algorithm, and the implementation manners of the foregoing various algorithms may be implemented by referring to various algorithms in the prior art.
  • the mapping algorithm policy may be provided by an application entity or a predefined mapping algorithm policy predefined by the M2M platform.
  • the application entity may specify the information by using a mapping method.
  • the mapping algorithm policy is a multi-mapping algorithm policy
  • the application entity may be in the mapping algorithm description information.
  • the specified mapping algorithm is added as a linguistic feature extraction algorithm and a structural feature extraction algorithm.
  • the application entity may not specify a mapping algorithm.
  • the mapping algorithm strategy is a single mapping algorithm strategy
  • the mapping algorithm description information is defaulted in the mapping algorithm, and the M2M platform determines to adopt a preset linguistic feature extraction algorithm.
  • As an algorithm for mapping is a single mapping algorithm strategy.
  • the application entity may provide a mapping calculation used by the mapping between the first body and the second body, and instruct the M2M platform to determine a mapping manner between the first body and the second body according to a mapping algorithm provided by the application entity, and further Get a mapping that meets your needs.
  • the M2M platform determines the mapping manner according to the parameters in the mapping method description information, including: the M2M platform determines the evaluation manner of the mapping result according to the mapping evaluation parameter in the mapping method description information.
  • the evaluation method may include an interaction evaluation mode or an automatic threshold mode.
  • the so-called interaction evaluation mode refers to: an evaluation of the mapping result by the interaction between the M2M platform and the first application entity.
  • the M2M platform obtains the first ontology according to the mapping manner.
  • the preliminary mapping result is fed back to the first application entity, and the first application entity evaluates whether the mapping result meets the requirement, and if yes, the M2M platform determines that the mapping ends, if not, Then, the M2M platform continues the mapping operation, such as adjusting the mapping manner of the mapping algorithm or the mapping algorithm, and performing the next mapping based on the current preliminary mapping result until the mapping result is confirmed by the application entity.
  • the so-called automatic threshold mode refers to: the M2M platform evaluates the mapping result according to a preset threshold, which may be configured by the M2M platform, may also be added by the application entity in the mapping method description information, and may also be communicated by the M2M. Agreement provisions.
  • the mapping evaluation parameter in the mapping method description information may be defaulted, and the M2M platform determines that the evaluation manner of the mapping result is a preset evaluation manner, such as the automatic threshold mode.
  • the application entity may provide an evaluation manner of the mapping result, and instruct the M2M platform to evaluate the mapping result of the first body and the second body according to the evaluation manner provided by the application entity, thereby obtaining a mapping that satisfies the user requirement.
  • the M2M platform determines the mapping manner according to the parameters in the mapping method description information, including: the M2M platform determines the expression manner of the mapping result according to the mapping expression parameter in the mapping method description information.
  • mapping result may include a description manner of the mapping relationship, and the mapping relationship may be described by: equivalence (representing that the concepts in the two ontology are completely identical), and inclusion (representing that the concepts in the two ontology belong to the upper and lower parent-child relationship) Compatible (indicating that the concepts in the two ontology have similar parts, but not exactly the same), irrelevant (indicating that the concepts in the two ontology have no mapping).
  • the expression of the mapping result may also include the grammatical format of the ontology (or the schema of the ontology), and the grammatical format of the ontology refers to the way of organizing information, which may be: web ontology language (OWL), contextualized OWL (contextualized OWL, C-OWL), simple knowledge organization system (SKOS), rule interchange format (RIF), Semantic Web Rule Language (SWRL), and the like.
  • OWL web ontology language
  • contextualized OWL contextualized OWL, C-OWL
  • SKOS simple knowledge organization system
  • RDF rule interchange format
  • SWRL Semantic Web Rule Language
  • the application entity may provide a representation manner of the mapping result, and instruct the M2M platform to represent the mapping result of the first body and the second body according to the expression manner provided by the application entity, thereby obtaining a mapping that satisfies the user requirement.
  • FIG. 6 is a schematic diagram of the ontology mapping in the embodiment of the present application.
  • the M2M platform After obtaining the first ontology and the second ontology that need to establish a mapping, the M2M platform first determines a mapping policy, and then determines an algorithm for performing mapping according to the determined mapping policy.
  • the algorithm can be a single algorithm or a combination of multiple algorithms, depending on the choice of mapping strategy.
  • the mapping algorithm After determining the mapping algorithm, the mapping between the first ontology and the second ontology is performed according to the algorithm, and the mapping result is evaluated, the expression of the mapping result is determined, and the mapping result is stored in the mapping result set (ontology mapping Moster).
  • Figure 6 illustrates various mapping algorithms including:
  • String comparison algorithm refers to the linguistic description of ontology conceptual terms as a string, and the similarity between conceptual terms is obtained by comparing differences between strings.
  • Vector space model algorithm refers to the description of the ontology concept term through a set of multiple basic words.
  • the set of multiple word vectors constitutes a vector space, and the ontology concept is represented by the comparison between vector spaces (co-occurring words). Similarity between the two.
  • Dictionary mapping algorithm Search for recognized mappings, find mappings between ontology concepts, or extend ontology concepts.
  • Path structure algorithm can be understood as a one-dimensional graph structure algorithm.
  • Logical reasoning based on other ontology refers to first constructing two ontology to be mapped to the recognized background knowledge ontology, and then inferring the mapping relationship between the ontology to be mapped according to the conceptual relationship between the background knowledge ontology.
  • Logical reasoning based on satisfiability verification It refers to OWL ontology based on description logic, so it has model theory semantics. Logical reasoning based on satisfiability verification is to use these model theory semantics to verify and speculate the mapping unit.
  • Search engine algorithm refers to the similarity between the ontology to be mapped by means of an externally recognized search engine.
  • the M2M platform performs mapping between the first body and the second body according to the mapping algorithm, which may be a process of loop iteration, and FIG. 7 illustrates a possible implementation of the mapping process between the first body and the second body.
  • the mapping process includes:
  • Step 201 Perform mapping processing according to a linguistic feature mapping algorithm to obtain a first mapping result.
  • Step 202 Perform mapping processing on the first mapping result according to the dictionary mapping algorithm, to obtain a second mapping result.
  • Step 203 Perform mapping processing on the second mapping result according to the search engine algorithm, to obtain a third mapping result.
  • Step 204 Perform mapping processing on the third mapping result according to the structural feature algorithm to obtain a fourth mapping result.
  • mapping result evaluation may include the mapping result evaluation, and the next mapping is performed only after the mapping result meets the requirements; and when the mapping result does not meet the requirements, the current mapping result continues to be mapped.
  • the linguistic feature mapping process includes:
  • Step 2011 The M2M platform creates a mapping intermediate result resource, where the mapping intermediate result resource includes the result of the linguistic feature mapping;
  • Step 2012 The M2M platform returns an identifier of the mapping intermediate result resource to the application entity.
  • Step 2013 The application entity obtains the mapping intermediate result resource according to the identifier of the intermediate result resource, and evaluates the mapping result in the mapping intermediate result resource.
  • Step 2014 The application entity feeds back the evaluation result to the M2M platform, and the evaluation result may be represented by a NEXT parameter, where a value of 0 of the NEXT parameter indicates that the evaluation has not passed, and a value of 1 of the NEXT parameter indicates that the evaluation is passed;
  • Step 2015 If the evaluation result is passed, the M2M platform ends the linguistic feature mapping, and performs step 202; if the evaluation result is not passed, the M2M platform performs linguistic feature mapping processing on the mapping result in the mapping intermediate result resource, according to The mapping result updates the mapping intermediate result resource and performs step 2012.
  • the M2M platform can implement mapping between ontologys by using iterative methods of multiple mapping algorithms, and in the mapping based on each algorithm, cyclic mapping can also be performed until the mapping result is evaluated through mapping, and the mapping result obtained by the above scheme is used. More reliable and more accurate.
  • FIG. 9 is a schematic structural diagram of an ontology mapping resource.
  • the box in the figure represents a resource (including a sub-resource), and an ellipse represents an attribute.
  • the meanings of each sub-resource and attribute in FIG. 9 have been described above, and are not repeated here.
  • the ontology management method provided by the embodiment of the present application further includes the following steps:
  • Step 301 The second application entity sends a semantic conversion request to the M2M platform, where the semantic conversion request includes an identifier of the first resource and an identifier of the ontology mapping resource, where the first resource references the first entity, and the device of the M2M communication system may be based on the An ontology understands the first resource.
  • the semantic conversion request is used to request the M2M platform to convert the first ontology-based semantic description of the first resource into a second ontology-based semantic description.
  • the second application entity may be the foregoing first application entity, or may be another application entity other than the first application entity.
  • the second application entity may obtain the identifier of the ontology mapping resource, where: the first application entity sends the identifier of the ontology mapping resource to the second application entity. Or the second application entity sends a request to the first application entity to obtain the identifier of the ontology mapping resource.
  • the M2M platform stores the The identifier of the ontology mapping resource is configured as a common resource, and the second application entity can obtain the identifier of the ontology mapping resource.
  • the identifier of the ontology mapping resource is stored in the local or external storage device, and the second application entity can provide the mapping.
  • the authentication information acquires the identifier of the ontology mapping resource from the M2M platform or the external storage device.
  • Step 302 The M2M platform receives the semantic conversion request, obtains an identifier of the ontology mapping resource from the semantic transformation request, locates the ontology mapping resource according to the identifier of the ontology mapping resource, and obtains between the first ontology and the second ontology from the ontology mapping resource. Mapping.
  • Step 303 The M2M platform obtains the first resource according to the identifier of the first resource, and determines an equivalent semantic description of the first resource based on the second ontology according to the mapping between the first body and the second body.
  • the first resource is a book
  • the author of the book is Jim Hendler.
  • the vocabulary of the author of the corresponding book in the first ontology is “author”. Therefore, the semantic description of the first resource based on the first ontology includes: “author :Jim Hendler”.
  • the vocabulary of the author of the corresponding book in the second ontology is "writer", and therefore, the equivalent semantic description based on the second ontology of the first resource includes: "writer: Jim Hendler”.
  • Step 304 The M2M platform returns the equivalent semantic description to the second application entity.
  • the M2M platform provides a function of semantic description conversion of the resource to the application entity, and the application entity may query the platform for the equivalent semantic description of the semantics in the first ontology in the second ontology, so that the application entity understands the reference to different ontology. Resources.
  • the method for managing the ontology further includes the following steps:
  • Step 401 The second application entity sends a query request to the M2M platform, where the query request includes an identifier that carries the first query statement based on the first ontology and the ontology mapping resource.
  • the first query statement may use a vocabulary in the first ontology as a key.
  • the first query statement is “query attribute “author” is a resource of Jim Hendler”, and “author” is a vocabulary in the first ontology.
  • the second application entity may be the foregoing first application entity, or may be another application entity other than the first application entity. When the second application entity is different from the first application entity, the manner in which the second application entity obtains the identifier of the ontology mapping resource is described in step 301 and is not repeated.
  • Step 402 The M2M platform receives the query request, obtains an identifier of the ontology mapping resource from the query request, locates the ontology mapping resource according to the identifier of the ontology mapping resource, and obtains a mapping between the first ontology and the second ontology from the ontology mapping resource.
  • Step 403 The M2M platform performs a query according to the mapping between the first ontology and the second ontology and the first query statement in the resource that references the first ontology and the resource that references the second ontology, to obtain a query result.
  • Step 403 can be implemented in the following two ways:
  • the M2M platform determines, according to the mapping between the first body and the second body, a second query statement based on the second body that is equivalent to the first query statement; and the M2M platform refers to the first body according to the first query statement.
  • the query is performed in the resource to obtain the first query result; and the query is performed in the resource that references the second ontology according to the second query statement to obtain the second query result.
  • the keyword in the first query statement is the vocabulary of the first ontology
  • the keyword may not be included in the second body, or the keyword has other meanings in the second body. Therefore, the first query statement is directly used.
  • the M2M platform determines the second ontology-based equivalent query statement of the first query statement, that is, the second query statement, and uses the second query statement to query the resource that references the second ontology, and then queries the match.
  • the resource for the query condition is the vocabulary of the first ontology
  • the M2M platform determines, according to the mapping between the first ontology and the second ontology, the “author” in the second ontology is equivalent to the “writer”. Therefore, it can be determined that the second query sentence equivalent to the first query statement is "query attribute "writer” is a resource of Jim Hendler”.
  • Mode b first, the M2M platform determines, based on the mapping between the first ontology and the second ontology, an equivalent semantic description based on the first ontology of the resource that references the second ontology.
  • the second resource is a book
  • the second ontology is referenced
  • the second resource includes the attribute "writer”
  • the value of the attribute "writer” is Jim Hendler
  • the author of the book is Jim Hendler.
  • the M2M platform determines that the equivalent attribute of the attribute "writer” in the first ontology is "author”, and therefore, the semantic description of the second resource based on the first ontology includes : "author:Jim Hendler”.
  • each attribute of the resource may be / or sub-resources to perform the conversion of the above semantic description.
  • the M2M platform determines attributes and/or sub-resources related to the first query statement in the attributes or sub-resources of the resource that reference the second ontology, and performs semantic description conversion only on the related attributes and/or sub-resources of the resource. .
  • the second resource further includes an attribute “digital object unique identifier (DOI)”, which is an identifier of the book, and an attribute corresponding to the attribute “DOI” in the first body is “international standard number” (international standard) Book number, ISBN)), because the first query statement is only related to the attribute "author” of the second resource, and is independent of the attribute "ISBN" of the second resource, the M2M platform can only use the attribute "author” of the second resource.
  • DOI digital object unique identifier
  • the M2M platform may query the resource that references the first ontology according to the first query statement to obtain the first query result; and according to the first query The statement and the equivalent semantic description are queried in the resource citing the second ontology to obtain the second query result.
  • the M2M platform determines that the first ontology-based equivalent semantic description of the second resource includes “author: Jim Hendler”, and therefore, in adopting the first query statement “Query attribute “author” is a resource of Jim Hendler” in the reference
  • the second resource may be determined as a resource that meets the query condition.
  • Step 404 The M2M platform returns a query result to the second application entity.
  • the application entity can use the query statement based on an ontology to perform the query operation in the resources that refer to different ontology, instead of using different query statements to perform the query, the query operation is simplified, and the query efficiency is improved.
  • the platform described in FIG. 11 is described below by taking the mapping between the "Product” ontology and the "Volume” ontology shown in FIG. 5 as an example.
  • the application entity can refer to the book of Jim Hendler in the resource that references the "Product” ontology and the resource that references the "Volume” ontology.
  • the query can be:
  • the query results include the following two records:
  • Machines The coming collision of Artificial Intelligence, Social Networking, and Humanity
  • Semantic Web for the Working Ontologist Effective modeling in RDFS and OWL.
  • the ontology management method provided by the embodiment of the present application further includes the following steps:
  • Step 501 The second application entity sends a control command request to the M2M platform, where the control command requests the first control command based on the first body and the identifier of the target device that references the second body.
  • the first control command includes a "switch off” command, and "switch off” is a vocabulary in the first body, indicating that the device is turned off.
  • Step 502 The M2M platform receives the control command request.
  • Step 503 Determine, according to the mapping between the first body and the second body, a second control command based on the second body that is equivalent to the first control command.
  • the control command request further carries an identifier of the ontology mapping resource
  • the M2M platform locates the ontology mapping resource according to the identifier of the ontology mapping resource, and maps the resource from the ontology.
  • the second body does not include the word "switch off", but provides the word "turn off” to indicate that the device is turned off. Therefore, the M2M platform determines that the second control instruction is a "turn off" instruction.
  • the control command request does not carry the identifier of the ontology mapping resource
  • the M2M platform determines that the second body referenced by the first target device is based on the first control command The first body is different, and the M2M platform calls the ontology mapping resource by itself, and determines the second control command equivalent to the first control command according to the mapping between the first body and the second body.
  • Step 504 The M2M platform sends a second control command to the first target device. After receiving the second control command, the first target device responds to the second control command.
  • the application entity may control the first target device that references the second body according to the first control command based on the first body, simplifying the process for the application entity to control the device that references the different body, and improving the M2M communication system. effectiveness.
  • control command request further carries an identifier of the second target device, and the second target device refers to the first body.
  • the method further includes:
  • Step 505 The M2M platform sends a first control command to the second target device.
  • the application entity may send a control command (the first control command) to the M2M platform, instructing the M2M platform to forward the control command to the first target device and the second target device, and the M2M platform determines the second target device reference.
  • the first body is the same as the body on which the first control command is based, and the first control command can be directly sent to the second target device.
  • the M2M platform determines that the second body referenced by the first target device is different from the first body that is based on the first control command, and converts the first control command into a second control command that can be understood by the first target device in the manner of step 503. And sending the second control command to the first target device. Therefore, the foregoing technical solution can realize the control of devices that refer to different entities simultaneously by using one control command, so that devices that reference different ontology can work together, thereby improving the efficiency of the M2M communication system.
  • the application of the scheme shown in Fig. 12 in the field of smart home appliances will be described below.
  • the command corresponding to the "close” command in the Smart Appliances REFerence (SAREF) body is "Switch off”
  • the command corresponding to the "Close” command in the Semantic Sensor Network (SSN) body is "Turn off”.
  • the air conditioner in room A in Figure 13 refers to the SAREF body
  • the heater in room B refers to the SSN body
  • the process of controlling the air conditioner and the heater by the application entity is: the energy management application entity obtains the ambient temperature, determines that the air conditioner needs to be turned off and the heating
  • the device sends a "off" command to the M2M platform.
  • the shutdown command can be a "Switch off” command based on the SAREF ontology, a “Turn off” command based on the SSN ontology, or a command based on the underlying ontology, such as "close”. "command.
  • the M2M platform determines that the "close” command in the SAREF body referenced by the air conditioner is the “Switch off” command, sends a “Switch off” command to the air conditioner, and determines that the "off” command in the SSN body referenced by the heater is the “Turn off” command. , send a "Turn off” command to the heater.
  • FIG. 14 is a schematic diagram of an M2M platform according to an embodiment of the present disclosure, including:
  • the receiving module 601 is configured to: receive an ontology mapping request sent by the first application entity, where the ontology mapping request carries a first ontology identifier, a second ontology identifier, and mapping method description information;
  • the mapping module 602 is configured to: determine the first body and the second body according to the first body identifier and the second body identifier; determine a mapping manner according to the mapping method description information, and establish according to the determined mapping manner a mapping between the first body and the second body; storing a mapping between the first body and the second body in an ontology mapping resource;
  • the sending module 603 is configured to: return an identifier of the ontology mapping resource to the first application entity.
  • the receiving module 601 is further configured to: receive a semantic conversion request sent by the second application entity, where the semantic conversion request carries an identifier of the first resource and an identifier of the ontology mapping resource, where the first resource is Referring to the first entity, the second application entity and the first application entity are the same or different application entities;
  • the platform also includes:
  • the semantic conversion module 604 is configured to: locate the ontology mapping resource according to the identifier of the ontology mapping resource, and obtain a mapping between the first body and the second body from the ontology mapping resource; Determining, by the identifier of the first resource, the first resource; and determining, according to the mapping between the first body and the second body, an equivalent semantic description of the first resource based on the second body;
  • the sending module 603 is further configured to: return the equivalent semantic description to the second application entity.
  • the receiving module 601 is further configured to: receive a query request sent by the second application entity, where the query request carries a first query statement based on the first body and an identifier of the ontology mapping resource, where An application entity that is the same or different from the first application entity;
  • the platform also includes:
  • the querying module 605 is configured to: locate the ontology mapping resource according to the identifier of the ontology mapping resource, and obtain a mapping between the first body and the second body from the ontology mapping resource; according to the first body And the first query statement performs a query in a resource that references the first ontology and a resource that references the second ontology to obtain a query result;
  • the sending module 603 is further configured to: return the query result to the second application entity.
  • the query module 605 is configured to:
  • the query module 605 is configured to:
  • the receiving module 601 is further configured to: receive a control command request sent by the second application entity, where the control command request carries a first control command based on the first body and an identifier of the first target device,
  • the first target device refers to the second entity, and the second application entity and the first application entity are the same or different application entities;
  • the platform also includes:
  • the control command conversion module 606 is configured to: determine, according to the mapping between the first body and the second body, a second control command based on the second body that is equivalent to the first control command;
  • the sending module 603 is further configured to: send the second control command to the first target device.
  • control command request further carries an identifier of the ontology mapping resource
  • the control command conversion module 606 is further configured to: determine, according to the mapping between the first body and the second body, a second control based on the second body that is equivalent to the first control command Before the command, the ontology mapping resource is located according to the identifier of the ontology mapping resource, and the mapping between the first body and the second body is obtained from the ontology mapping resource.
  • control command request further carries an identifier of the second target device, where the second target device refers to the first body;
  • the sending module 603 is further configured to: send the first control command to the second target device.
  • mapping module 602 is configured to:
  • mapping algorithm policy Determining a mapping algorithm policy according to the mapping policy parameter in the mapping method description information, where the mapping algorithm policy includes any one of a single mapping algorithm strategy, a multi-mapping algorithm strategy, and an algorithm traversal strategy, where the single mapping algorithm policy is used Determining a single mapping algorithm as a mapping algorithm between the first body and the second body, the multiple mapping algorithm strategy for determining at least two mapping algorithms as the first body and the second body And a mapping algorithm for determining to establish a mapping between the first body and the second body in a manner of traversing all mapping algorithms.
  • mapping module 602 is configured to:
  • mapping algorithm policy Determining, according to the determined mapping algorithm policy and the preset at least two mapping algorithms, a mapping algorithm between the first body and the second body, where the preset at least two mapping algorithms include linguistic feature extraction At least two of an algorithm, a structural feature extraction algorithm, an external resource acquisition algorithm, and a logical inference algorithm.
  • mapping module 602 is configured to:
  • the evaluation manner includes an interaction evaluation mode or an automatic threshold mode
  • the interaction evaluation mode is used to determine that the M2M platform and the first
  • the automatic threshold mode is used to determine that the mapping result is evaluated by the M2M platform according to a preset threshold.
  • each module of the above platform reference may be made to the implementation of the steps performed by the M2M platform in the methods described in FIG. 4 to FIG.
  • the division of the modules in the embodiment of the present application is schematic, and is only a logical function division. In actual implementation, there may be another division manner.
  • each functional module in each embodiment of the present application may be integrated into one. In the processor, it may be physically present alone, or two or more modules may be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware or in the form of software functional modules.
  • the M2M platform may include the processor 701.
  • the hardware of the entity corresponding to the mapping module 602, the semantic conversion module 604, the query module 605, and the control command conversion module 606 may be the processor 701.
  • the processor 701 can be a central processing unit (CPU), or a digital processing module or the like.
  • the M2M platform may further include a communication interface 702.
  • the processor 701 communicates with the application entity through the communication interface 702, such as receiving an ontology mapping request sent by the application entity, and sending an identifier of the ontology mapping resource to the application entity.
  • the M2M platform also includes a memory 703 for storing programs executed by the processor 701.
  • the memory 703 may be a non-volatile memory, such as a hard disk drive (HDD) or a solid-state drive (SSD), or a volatile memory such as a random access memory (random). -access memory, RAM).
  • Memory 703 is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited thereto.
  • the processor 701 is configured to execute the program code stored in the memory 703, specifically for performing the method in any possible implementation manner of the technical solutions described in FIG. 4 to FIG.
  • the processor 701 refer to the method of the embodiment shown in FIG. 4 or FIG. 13 , which is not described herein again.
  • connection medium between the communication interface 702, the processor 701, and the memory 703 is not limited in the embodiment of the present application.
  • the memory 703, the processor 701, and the communication interface 702 are connected by a bus in FIG. 15, and the bus is indicated by a thick line in FIG. 15, and the connection manner between other components is only schematically illustrated. Not limited to limits.
  • the bus can be divided into an address bus, a data bus, a control bus, and the like.
  • the embodiment of the invention further provides a computer readable storage medium storing computer software instructions for executing the execution of the processor, which comprises a program for executing the above-mentioned processor.
  • the embodiment of the present application further provides a computer program product, when the computer program product is run on a computer, causing the computer to execute the method in any of the possible implementation manners of the method for managing the ontology described in FIG. 4 to FIG.
  • embodiments of the present application can be provided as a method, system, or computer program product.
  • the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment in combination of software and hardware.
  • the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

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Abstract

L'invention concerne un procédé de gestion d'ontologies et une plate-forme de machine à machine (M2M), destinés à résoudre le problème, rencontré dans l'état antérieur de la technique, de l'incohérence sémantique dans différents secteurs et des normes différentes dans les communications M2M. Le procédé de gestion d'ontologies comporte les étapes suivantes: une plate-forme M2M reçoit une demande de mappage d'ontologies émise par une première entité d'application, la demande de mappage d'ontologies transportant un premier identifiant d'ontologie, un second identifiant d'ontologie et des informations de description de procédé de mappage; la plate-forme M2M détermine une première ontologie et une seconde ontologie selon le premier identifiant d'ontologie et le second identifiant d'ontologie; la plate-forme M2M détermine, selon les informations de description de procédé de mappage, une méthode de mappage, et établit un mappage entre la première ontologie et la seconde ontologie selon la méthode de mappage déterminée; et la plate-forme M2M stocke le mappage entre la première ontologie et la seconde ontologie dans une ressource de mappage d'ontologies, et renvoie l'identifiant de la ressource de mappage d'ontologies à la première entité d'application.
PCT/CN2018/093000 2017-06-30 2018-06-27 Procédé de gestion d'ontologies et plate-forme m2m WO2019001445A1 (fr)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014186873A1 (fr) * 2013-05-21 2014-11-27 Bagheri Ebrahim Procédé et système de génération intelligente de données structurées et de découverte d'objet à partir du web en utilisant un texte, des images et des données vidéo et autres
CN106663101A (zh) * 2014-04-02 2017-05-10 西曼迪克技术私人有限公司 本体映射方法和设备
CN106663143A (zh) * 2014-07-18 2017-05-10 康维达无线有限责任公司 M2m本体管理和语义互操作性

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014186873A1 (fr) * 2013-05-21 2014-11-27 Bagheri Ebrahim Procédé et système de génération intelligente de données structurées et de découverte d'objet à partir du web en utilisant un texte, des images et des données vidéo et autres
CN106663101A (zh) * 2014-04-02 2017-05-10 西曼迪克技术私人有限公司 本体映射方法和设备
CN106663143A (zh) * 2014-07-18 2017-05-10 康维达无线有限责任公司 M2m本体管理和语义互操作性

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP3637273A4 *

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