CN107193858A - Towards the intelligent Service application platform and method of multi-source heterogeneous data fusion - Google Patents
Towards the intelligent Service application platform and method of multi-source heterogeneous data fusion Download PDFInfo
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- CN107193858A CN107193858A CN201710193071.1A CN201710193071A CN107193858A CN 107193858 A CN107193858 A CN 107193858A CN 201710193071 A CN201710193071 A CN 201710193071A CN 107193858 A CN107193858 A CN 107193858A
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Abstract
The invention discloses a kind of intelligent Service application platform and method towards multi-source heterogeneous data fusion, it is related to data fusion application field.Multi-source heterogeneous data acquisition and data trade definable are realized by using visualization technique, using automatic technology, realizes that automatically real-time collection is with cleaning multi-source heterogeneous data, while completing data trade in real time.Using the semantic template storehouse of dynamic extending, Semantic mapping between multiple and distributing sources is realized, generative semantics dictionary realizes semantic cleaning rule definable, ensure text data can between heterogeneous data source semantic automatic conversion, realize that text data intelligently cleaning and is merchandised.The technical scheme can fill up at present the blank of the semantic automatic conversion of unstructured multi-source heterogeneous data both at home and abroad and transaction this respect, and in the government and enterprises and institutions that the country can be widely used in, solve the problem of multi-source heterogeneous data conversion of its presence is with transaction.
Description
Technical field
The present invention relates to data fusion application field, more particularly to a kind of intelligent Service towards multi-source heterogeneous data fusion
Application platform and method.
Background technology
Application of the current enterprises and institutions to data fusion is only limitted to the integrated of standard metadata with integrating, many domestic
Metadata of the outer data fusion product also only for standard is handled, it is impossible to realize " source data " to the place of " metadata "
Reason, and the function at least occupies the workload of data fusion application 60%, this is also " the bottle that many data fusion products run into
Neck ", it can not be the intelligent Service application needed for enterprises and institutions provide to cause current data fusion product.
The content of the invention
It is an object of the invention to provide a kind of intelligent Service application platform and method towards multi-source heterogeneous data fusion,
So as to solve foregoing problems present in prior art.
To achieve these goals, the technical solution adopted by the present invention is as follows:
A kind of intelligent Service application platform towards multi-source heterogeneous data fusion, including:
Multi-source heterogeneous data acquisition and cleaning assembly, for defining different types of data source acquisition interface, based on semantic clear
Wash rule and carry out multi-source heterogeneous data cleansing and multi-source heterogeneous data acquisition and Portable Batch System;
Isomeric data structural description component, for auto-initiation semantic template, defines multi-source heterogeneous data structured
Description and establishment are based on semantic isomeric data Visualization Model;
Multi-source heterogeneous online data exchanges component, exists for defining multi-source heterogeneous data real-time exchange interface, isomeric data
Line exchanges and online exchange process is tracked and showed.
Preferably, the multi-source heterogeneous data acquisition and cleaning assembly, for defining different types of data source acquisition interface,
Specially:Using the standard criterion in different types of data source there is provided visualization interface, data source collection standard interface is defined.
Preferably, the multi-source heterogeneous data acquisition and cleaning assembly, it is different for carrying out multi-source based on semantic cleaning rule
Structure data cleansing, specifically includes following steps:
According to semantic dictionary WordNet, description method for metadata RDF Schema and disaggregated model algorithm SOM, base is obtained
In semantic similarity calculating method;
Using how tactful cleaning method, a variety of semantic matches end values are obtained, semantic matches result set is formed;
Using the fusion method of two-way amendment, the semantic matches result set is handled, data attribute similarity is obtained high
Judged result, it is ensured that the correctness of data cleansing result.
Preferably, the multi-source heterogeneous data acquisition and cleaning assembly, for multi-source heterogeneous data acquisition and task scheduling
Management, be specially:Standard and the cleaning rule based on semanteme are defined based on different types of data source acquisition interface, it is different according to multi-source
The frequency acquisition of structure data source, realizes the visualization and automation of acquisition tasks management and running.
Preferably, the isomeric data structural description component, for auto-initiation semantic template, be specially:By
Natural language processing and Ontology Matching technology extract semantic information from different types of corpus, generative semantics template instances,
Semantic template example is set to obtain dynamic expansion.
Preferably, the isomeric data structural description component is used to define multi-source heterogeneous data structured description, specifically
For:The auto-initiation semantic template progress generated to system is artificial perfect, realizes that the structuring of multi-source heterogeneous data is retouched
State.
Preferably, the isomeric data structural description component is used to create visualizes mould based on semantic isomeric data
Type, specifically includes following steps:
Based on the semantic template case library for describing multi-source heterogeneous data, by the semantic theories of learning, intelligence finds each example
Between incidence relation, business service model is built by the way of example combination, automatically extracting for isomeric data feature is realized;
Specifically, using visualization technique, by system interface displaying be automatically performed model construction, model evaluation, model select, it is optimal
The complete modeling process that model is determined;
Semantic template example is modified using the business service model of structure, it is ensured that between semantic template example
The uniformity and scalability of semantic information.
Preferably, the multi-source heterogeneous online data exchanges component and is used to define multi-source heterogeneous data real-time exchange interface,
Specifically, the data model for building the structurally and semantically information that data resource is described on logical view layer, for passing through
Visualization interface defines multi-source heterogeneous data real-time exchange interface.
Preferably, the multi-source heterogeneous online data exchanges component and exchanged online for isomeric data, specifically, being based on
OGSA-DAI heterogeneous database exchange model, with reference to XML, Web Services, Grid Service and ontology, in data
Body is introduced in exchange to describe isomeric data, and semantic mark is carried out to the XML Schema Jing Guo preliminary semantic conversion using body
Note, realizes the semantic matches in heterogeneous database exchange and exchange process.
A kind of intelligent Service application process towards multi-source heterogeneous data fusion, using above-mentioned towards multi-source heterogeneous data
The intelligent Service application platform of fusion, comprises the following steps:
S1, the data acquisition interface with cleaning assembly is gathered to different types of source data progress data using isomeric data
Collection, including structural data and unstructured data;
S2, the semantic cleaning rule of setting and semantic dictionary;
The data collected in S1, according to the S2 semantic cleaning rules set and semantic dictionary, are carried out data cleansing by S3,
The source data cleaned;
S4, the source data to the cleaning is modified according to modification rule, obtains correcting data;
The amendment data are put into index subject data base, form system metadata by S5;
S6, by isomeric data structural description component, initializes semantic template example, structure is carried out to system metadata
Change description;
S7, the heterogeneous database exchange model based on OGSA-DAI realizes the online exchange of isomeric data.
The beneficial effects of the invention are as follows:Intelligent Service provided in an embodiment of the present invention towards multi-source heterogeneous data fusion should
With platform and method, multi-source heterogeneous data acquisition and data trade definable are realized by using visualization technique, using automatic
Change technology, realizes that automatically real-time collection is with cleaning multi-source heterogeneous data, while completing data trade in real time.Using can dynamically expand
The semantic template storehouse of exhibition, realizes Semantic mapping between multiple and distributing sources, and generative semantics dictionary realizes that semantic cleaning rule can
Definition, it is ensured that text data can between heterogeneous data source semantic automatic conversion, realize that text data intelligently cleaning and is merchandised.Should
Technical scheme can fill up at present the sky of the semantic automatic conversion of unstructured multi-source heterogeneous data both at home and abroad and transaction this respect
In vain, and can be widely used in the country government and enterprises and institutions in, solve its presence multi-source heterogeneous data conversion with hand over
Easily the problem of.
Brief description of the drawings
Fig. 1 is the structural representation towards the intelligent Service application platform of multi-source heterogeneous data fusion;
Fig. 2 is to realize logical schematic towards the intelligent Service application process of multi-source heterogeneous data fusion;
Fig. 3 is the schematic flow sheet towards the intelligent Service application process of multi-source heterogeneous data fusion.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, below in conjunction with accompanying drawing, the present invention is entered
Row is further described.It should be appreciated that embodiment described herein is not used to only to explain the present invention
Limit the present invention.
Embodiment one
As shown in figure 1, a kind of intelligent Service application platform towards multi-source heterogeneous data fusion, including:
Multi-source heterogeneous data acquisition and cleaning assembly, for defining different types of data source acquisition interface, based on semantic clear
Wash rule and carry out multi-source heterogeneous data cleansing and multi-source heterogeneous data acquisition and Portable Batch System;
Isomeric data structural description component, for auto-initiation semantic template, defines multi-source heterogeneous data structured
Description and establishment are based on semantic isomeric data Visualization Model;
Multi-source heterogeneous online data exchanges component, exists for defining multi-source heterogeneous data real-time exchange interface, isomeric data
Line exchanges and online exchange process is tracked and showed.
The platform that the present invention is provided realizes different types of data by using multi-source heterogeneous data acquisition and cleaning assembly
Source carries out data acquisition using standard acquisition interface, carries out data cleansing based on standard semantic layer data cleaning rule, realizes
The intellectuality of the unified collection of multi-source heterogeneous data and task scheduling and data cleansing and visualization, overcome prior art
In, the polyphyly of multi-source heterogeneous data, isomerism, incomplete property, spanning space-time and semantic conflict characteristic cause in use
The shortcoming of effective integration can not be carried out;
Meanwhile, the platform that the present invention is provided realizes isomeric data by using isomeric data structural description component
Structural description, and the automation based on semantic business model process, overcome multiple and distributing sources in the prior art
Architectural difference and description difference so that more efficient offer intelligent Service;
In addition, the platform that the present invention is provided exchanges component by using multi-source heterogeneous online data, realize multi-source heterogeneous
Automatic semantic conversion between data, forms uniform data Fabric Interface standard, makes in different structure, different pieces of information management system
Data can realize sequencing merchandise, so as to meet data trade to data validity, real-time, rational requirement.
Wherein, the multi-source heterogeneous data acquisition and cleaning assembly, for defining different types of data source acquisition interface, tool
Body is:Using the standard criterion in different types of data source there is provided visualization interface, data source collection standard interface is defined.
In the present invention, the multi-source heterogeneous data acquisition and cleaning assembly, for carrying out multi-source based on semantic cleaning rule
Isomeric data is cleaned, and specifically includes following steps:
According to semantic dictionary WordNet, description method for metadata RDF Schema and disaggregated model algorithm SOM, base is obtained
In semantic similarity calculating method;
Using how tactful cleaning method, a variety of semantic matches end values are obtained, semantic matches result set is formed;
Using the fusion method of two-way amendment, the semantic matches result set is handled, data attribute similarity is obtained high
Judged result, it is ensured that the correctness of data cleansing result.
In the embodiment of the present invention, the multi-source heterogeneous data acquisition and cleaning assembly, for multi-source heterogeneous data acquisition with
Portable Batch System, be specially:
Standard and the cleaning rule based on semanteme are defined based on different types of data source acquisition interface, according to multi-source heterogeneous number
According to the frequency acquisition in source, the visualization and automation of acquisition tasks management and running are realized.
In the present invention, the isomeric data structural description component, for auto-initiation semantic template, is specially:Borrow
Assisted natural language processing and Ontology Matching technology extract semantic information from different types of corpus, and generative semantics template is real
Example, makes semantic template example obtain dynamic expansion.
In the present invention, the isomeric data structural description component is used to define multi-source heterogeneous data structured description, tool
Body is:The auto-initiation semantic template progress generated to system is artificial perfect, realizes the structuring of multi-source heterogeneous data
Description.
In the present invention, the isomeric data structural description component is used to create visualizes mould based on semantic isomeric data
Type, specifically includes following steps:
Based on the semantic template case library for describing multi-source heterogeneous data, by the semantic theories of learning, intelligence finds each example
Between incidence relation, business service model is built by the way of example combination, automatically extracting for isomeric data feature is realized;
Specifically, it is possible to use visualization technique, by system interface displaying be automatically performed model construction, model evaluation, model select,
The complete modeling process that optimal models is determined;
Semantic template example is modified using the business service model of structure, it is ensured that between semantic template example
The uniformity and scalability of semantic information.
In the present invention, the multi-source heterogeneous online data exchanges component and connect for defining multi-source heterogeneous data real-time exchange
Mouthful, specifically, the data model for building the structurally and semantically information that data resource is described on logical view layer, for leading to
Cross visualization interface and define multi-source heterogeneous data real-time exchange interface.
In the embodiment of the present invention, the multi-source heterogeneous online data exchanges component and exchanged online for isomeric data, specifically
For the heterogeneous database exchange model based on OGSA-DAI, with reference to XML, Web Services, Grid Service and body skill
Art, introduces body to describe isomeric data, using body to the XML Schema Jing Guo preliminary semantic conversion in data exchange
Semantic marker is carried out, the semantic matches in heterogeneous database exchange and exchange process are realized.
In the present invention, the multi-source heterogeneous online data, which exchanges component, to be used to online exchange process is tracked and opened up
It is existing, specifically, the component is used for offer one can exchange tracking and exhibition online with the service-oriented isomeric data of dynamic expansion
Show function, allow user to be not required to it is to be understood that the ins and outs that data exchange is realized, can but there is individual clear to data exchange process
Understanding.
Embodiment two
As shown in Fig. 2 the embodiments of the invention provide a kind of intelligent Service application side towards multi-source heterogeneous data fusion
Method, using the intelligent Service application platform towards multi-source heterogeneous data fusion described in embodiment one, comprises the following steps:
S1, the data acquisition interface with cleaning assembly is gathered to different types of source data progress data using isomeric data
Collection, including structural data and unstructured data;
S2, the semantic cleaning rule of setting and semantic dictionary;
The data collected in S1, according to the S2 semantic cleaning rules set and semantic dictionary, are carried out data cleansing by S3,
The source data cleaned;
S4, the source data to the cleaning is modified according to modification rule, obtains correcting data;
The amendment data are put into index subject data base, form system metadata by S5
S6, by isomeric data structural description component, initializes semantic template example, structure is carried out to system metadata
Change description;
S7, the heterogeneous database exchange model based on OGSA-DAI realizes the online exchange of isomeric data.
Specific embodiment:
Intelligent Service application process provided in an embodiment of the present invention towards multi-source heterogeneous data fusion, can be according to as follows
Step is implemented:
1st, collection rule storehouse is defined by isomeric data collection and cleaning assembly, according to the different types of data of rule collection
Source (including structuring and unstructured data), is formed " source data resource pool ";
2nd, cleaning rule storehouse and semantic dictionary are defined with cleaning assembly by isomeric data collection, to " source data resource pool "
In data cleared up and corrected, formed " metadata resource pond ";
3rd, by isomeric data structural description component definition index algorithms library, to the system member in " metadata resource pond "
Data are calculated, collected and counted, and are formed " achievement data resource pool ";
4th, by isomeric data structural description component definition semantic template example, to the finger in " achievement data resource pool "
Mark data and carry out structural description, formed " semantic instance resources bank ";
5th, component definition semantic matches rule is exchanged online by isomeric data, to the semanteme in " semantic instance resources bank "
Example carries out semantic marker and matching, realizes the online exchange of isomeric data;
6th, exchange the visualization following function of component online by isomeric data, realize the full mistake that isomeric data is exchanged online
Journey is tracked.
By using above-mentioned technical proposal disclosed by the invention, following beneficial effect has been obtained:The embodiment of the present invention is carried
The intelligent Service application platform towards multi-source heterogeneous data fusion supplied, multi-source heterogeneous data are realized by using visualization technique
Collection and data trade definable, using automatic technology, realize that automatically real-time collection is with cleaning multi-source heterogeneous data, simultaneously
Data trade is completed in real time.Using the semantic template storehouse of dynamic extending, Semantic mapping between multiple and distributing sources is realized, it is raw
Into semantic dictionary, realize semantic cleaning rule definable, it is ensured that text data can between heterogeneous data source semantic automatic conversion,
Realize text data intelligently cleaning and transaction.The technical scheme can fill up current unstructured multi-source heterogeneous data both at home and abroad
The blank of semantic automatic conversion and transaction this respect, and can be widely used in the government and enterprises and institutions of the country, solve
The problem of its multi-source heterogeneous data conversion existed is with transaction.
Each embodiment in this specification is described by the way of progressive, what each embodiment was stressed be with
Between the difference of other embodiment, each embodiment identical similar part mutually referring to.
Those skilled in the art should be understood that the sequential for the method and step that above-described embodiment is provided can be entered according to actual conditions
Row accommodation, also can concurrently be carried out according to actual conditions.
All or part of step in the method that above-described embodiment is related to can be instructed by program correlation hardware come
Complete, described program can be stored in the storage medium that computer equipment can be read, for performing the various embodiments described above side
All or part of step described in method.The computer equipment, for example:Personal computer, server, the network equipment, intelligent sliding
Dynamic terminal, intelligent home device, wearable intelligent equipment, vehicle intelligent equipment etc.;Described storage medium, for example:RAM、
ROM, magnetic disc, tape, CD, flash memory, USB flash disk, mobile hard disk, storage card, memory stick, webserver storage, network cloud storage
Deng.
Finally, in addition it is also necessary to explanation, herein, such as first and second or the like relational terms be used merely to by
One entity or operation make a distinction with another entity or operation, and not necessarily require or imply these entities or operation
Between there is any this actual relation or order.Moreover, term " comprising ", "comprising" or its any other variant meaning
Covering including for nonexcludability, so that process, method, commodity or equipment including a series of key elements not only include that
A little key elements, but also other key elements including being not expressly set out, or also include be this process, method, commodity or
The intrinsic key element of equipment.In the absence of more restrictions, the key element limited by sentence "including a ...", is not arranged
Except also there is other identical element in the process including the key element, method, commodity or equipment.
Described above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
Depending on protection scope of the present invention.
Claims (10)
1. a kind of intelligent Service application platform towards multi-source heterogeneous data fusion, it is characterised in that including:
Multi-source heterogeneous data acquisition and cleaning assembly, for defining different types of data source acquisition interface, based on semanteme cleaning rule
Then carry out multi-source heterogeneous data cleansing and multi-source heterogeneous data acquisition and Portable Batch System;
Isomeric data structural description component, for auto-initiation semantic template, defines multi-source heterogeneous data structured description
And create based on semantic isomeric data Visualization Model;
Multi-source heterogeneous online data exchanges component, is handed over online for defining multi-source heterogeneous data real-time exchange interface, isomeric data
Change and online exchange process is tracked and showed.
2. the intelligent Service application platform according to claim 1 towards multi-source heterogeneous data fusion, it is characterised in that institute
Multi-source heterogeneous data acquisition and cleaning assembly are stated, for defining different types of data source acquisition interface, is specially:Using inhomogeneity
The standard criterion of type data source defines data source collection standard interface there is provided visualization interface.
3. the intelligent Service application platform according to claim 1 towards multi-source heterogeneous data fusion, it is characterised in that institute
Multi-source heterogeneous data acquisition and cleaning assembly are stated, for carrying out multi-source heterogeneous data cleansing, specific bag based on semantic cleaning rule
Include following steps:
According to semantic dictionary WordNet, description method for metadata RDF Schema and disaggregated model algorithm SOM, obtain being based on language
The similarity calculating method of justice;
Using how tactful cleaning method, a variety of semantic matches end values are obtained, semantic matches result set is formed;
Using the fusion method of two-way amendment, the semantic matches result set is handled, the high judgement of data attribute similarity is obtained
As a result, it is ensured that the correctness of data cleansing result.
4. the intelligent Service application platform according to claim 1 towards multi-source heterogeneous data fusion, it is characterised in that institute
Multi-source heterogeneous data acquisition and cleaning assembly are stated, for multi-source heterogeneous data acquisition and Portable Batch System, is specially:Based on not
Same type data source acquisition interface defines standard and the cleaning rule based on semanteme, according to the collection of multiple and distributing sources frequency
Rate, realizes the visualization and automation of acquisition tasks management and running.
5. the intelligent Service application platform according to claim 1 towards multi-source heterogeneous data fusion, it is characterised in that institute
Isomeric data structural description component is stated, for auto-initiation semantic template, is specially:By natural language processing and body
Matching technique extracts semantic information from different types of corpus, and generative semantics template instances obtain semantic template example
Dynamic expansion.
6. the intelligent Service application platform according to claim 1 towards multi-source heterogeneous data fusion, it is characterised in that institute
Stating isomeric data structural description component is used to define multi-source heterogeneous data structured description, is specially:The institute generated to system
State the progress of auto-initiation semantic template artificial perfect, realize the structural description of multi-source heterogeneous data.
7. the intelligent Service application platform according to claim 1 towards multi-source heterogeneous data fusion, it is characterised in that institute
State isomeric data structural description component be used for create based on semanteme isomeric data Visualization Model, specifically include following step
Suddenly:
Based on the semantic template case library for describing multi-source heterogeneous data, by the semantic theories of learning, intelligence is found between each example
Incidence relation, business service model is built by the way of example combination, automatically extracting for isomeric data feature is realized;Specifically
, using visualization technique, model construction, model evaluation, model selection, optimal models are automatically performed by system interface displaying
The complete modeling process determined;
Semantic template example is modified using the business service model of structure, it is ensured that semantic between semantic template example
The uniformity and scalability of information.
8. the intelligent Service application platform according to claim 1 towards multi-source heterogeneous data fusion, it is characterised in that institute
State multi-source heterogeneous online data and exchange component for defining multi-source heterogeneous data real-time exchange interface, specifically, existing for building
The data model of the structurally and semantically information of data resource is described, for defining multi-source by visualization interface on logical view layer
Isomeric data real-time exchange interface.
9. the intelligent Service application platform according to claim 1 towards multi-source heterogeneous data fusion, it is characterised in that institute
State multi-source heterogeneous online data exchange component to exchange online for isomeric data, specifically, the isomeric data based on OGSA-DAI
Exchange model, with reference to XML, Web Services, Grid Service and ontology, introduces body to retouch in data exchange
Isomeric data is stated, semantic marker is carried out to the XML Schema Jing Guo preliminary semantic conversion using body, realizes that isomeric data is handed over
Change and the semantic matches in exchange process.
10. a kind of intelligent Service application process towards multi-source heterogeneous data fusion, it is characterised in that utilize claim 1-9
The intelligent Service application platform towards multi-source heterogeneous data fusion described in any one, comprises the following steps:
S1, carries out data to different types of source data using the data acquisition interface of isomeric data collection and cleaning assembly and adopts
Collection, including structural data and unstructured data;
S2, the semantic cleaning rule of setting and semantic dictionary;
The data collected in S1, according to the S2 semantic cleaning rules set and semantic dictionary, are carried out data cleansing, obtained by S3
The source data of cleaning;
S4, the source data to the cleaning is modified according to modification rule, obtains correcting data;
The amendment data are put into index subject data base, form system metadata by S5;
S6, by isomeric data structural description component, initializes semantic template example, and carrying out structuring to system metadata retouches
State;
S7, the heterogeneous database exchange model based on OGSA-DAI realizes the online exchange of isomeric data.
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101382942A (en) * | 2008-10-27 | 2009-03-11 | 浙江大学 | Information system data integration method orienting service cooperation based on noumenon |
US20110066590A1 (en) * | 2009-09-14 | 2011-03-17 | International Business Machines Corporation | Analytics integration workbench within a comprehensive framework for composing and executing analytics applications in business level languages |
CN102073725A (en) * | 2011-01-11 | 2011-05-25 | 百度在线网络技术(北京)有限公司 | Method for searching structured data and search engine system for implementing same |
US20110145286A1 (en) * | 2009-12-15 | 2011-06-16 | Chalklabs, Llc | Distributed platform for network analysis |
CN103838826A (en) * | 2014-01-23 | 2014-06-04 | 北京东方泰坦科技股份有限公司 | Integration method of dynamic heterogeneous space information plotting data |
CN104572626A (en) * | 2015-01-23 | 2015-04-29 | 北京云知声信息技术有限公司 | Automatic semantic template generation method and device and semantic analysis method and system |
CN104933095A (en) * | 2015-05-22 | 2015-09-23 | 中国电子科技集团公司第十研究所 | Heterogeneous information universality correlation analysis system and analysis method thereof |
CN105701181A (en) * | 2016-01-06 | 2016-06-22 | 中电科华云信息技术有限公司 | Dynamic heterogeneous metadata acquisition method and system |
CN105893612A (en) * | 2016-04-26 | 2016-08-24 | 中国科学院信息工程研究所 | Consistency expression method for multi-source heterogeneous big data |
-
2017
- 2017-03-28 CN CN201710193071.1A patent/CN107193858B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101382942A (en) * | 2008-10-27 | 2009-03-11 | 浙江大学 | Information system data integration method orienting service cooperation based on noumenon |
US20110066590A1 (en) * | 2009-09-14 | 2011-03-17 | International Business Machines Corporation | Analytics integration workbench within a comprehensive framework for composing and executing analytics applications in business level languages |
US20110145286A1 (en) * | 2009-12-15 | 2011-06-16 | Chalklabs, Llc | Distributed platform for network analysis |
CN102073725A (en) * | 2011-01-11 | 2011-05-25 | 百度在线网络技术(北京)有限公司 | Method for searching structured data and search engine system for implementing same |
CN103838826A (en) * | 2014-01-23 | 2014-06-04 | 北京东方泰坦科技股份有限公司 | Integration method of dynamic heterogeneous space information plotting data |
CN104572626A (en) * | 2015-01-23 | 2015-04-29 | 北京云知声信息技术有限公司 | Automatic semantic template generation method and device and semantic analysis method and system |
CN104933095A (en) * | 2015-05-22 | 2015-09-23 | 中国电子科技集团公司第十研究所 | Heterogeneous information universality correlation analysis system and analysis method thereof |
CN105701181A (en) * | 2016-01-06 | 2016-06-22 | 中电科华云信息技术有限公司 | Dynamic heterogeneous metadata acquisition method and system |
CN105893612A (en) * | 2016-04-26 | 2016-08-24 | 中国科学院信息工程研究所 | Consistency expression method for multi-source heterogeneous big data |
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CN107766556A (en) * | 2017-11-03 | 2018-03-06 | 福建工程学院 | A kind of interactive Ontology Matching method and computer equipment based on evolution algorithm |
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CN108198595A (en) * | 2018-01-18 | 2018-06-22 | 北京化工大学 | A kind of multi-source heterogeneous unstructured medical record data fusion method |
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