CN102122292B - Geographic ontology modeling and dynamic publishing method on basis of remote sensing image - Google Patents
Geographic ontology modeling and dynamic publishing method on basis of remote sensing image Download PDFInfo
- Publication number
- CN102122292B CN102122292B CN201110024454.9A CN201110024454A CN102122292B CN 102122292 B CN102122292 B CN 102122292B CN 201110024454 A CN201110024454 A CN 201110024454A CN 102122292 B CN102122292 B CN 102122292B
- Authority
- CN
- China
- Prior art keywords
- concept
- user
- field
- remote sensing
- newclass
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Images
Abstract
The invention discloses a geographic ontology modeling and dynamic publishing method on the basis of a remote sensing image, comprising the following steps of: selecting a field similar to user field information set by a user from a geographic ontology system of a sending server side; selecting a remote sensing object similar to a user-defined concept from multiple remote-sensing objects in the close field; when all remote sensing objects belong to the same concept of the close field, the user-defined concept and the same concept of the close field form a synonymy, carrying out synonymy processing; otherwise, indicating that the user-defined concept is a superordinate of different concepts of the close field for superordinate processing; storing an F.xml file, and modifying the attribute of the file to be read only; when an Agent 1 judges that the attribute of the file is read only, sending file content; and when an Agent 2 receives the content, writing the content into the local F.xml file. With the method, the defects that the period is long and the quality is hard to control because only few field experts are relied on can be avoided.
Description
Technical field
The present invention relates to spatial information field, particularly ontology modeling and the dynamic publishing method based on remote sensing image.
Background technology
Along with the expansion of spatial information application with deeply, it covers region, relate to field constantly expands.The Heterogeneous Spatial Information resource that causes thus distributing is constantly updated and expansion, the trend of having aggravated space information resource and incidence relation dynamic evolution thereof; Meanwhile, the growth of space information resource and autonomy make semantic model can only keep dynamic stability.Therefore, opening, in the network environment of dynamic change, finding a feasible way, set up metastable Geospatial Semantic and describe, is that spatial information is carried out to the challenge that effective organization and management institute must tackle.
Domestic and international many experts and scholars have carried out a large amount of useful explorations, a kind of Main Means that wherein utilizes ontology to become to deal with problems, the structure body five principles that for example Gruber proposes, seven footworks of Stanford University can be rated as the representative of these class methods, said method common trait is that domain expert takes as the leading factor, according to the immanent structure definition body of field concept system; Domestic scholars has also been carried out corresponding research work, Ru Huangmao army, Du Qingyun etc. propose by means of these 3 theoretical tools of part-whole, situation theory and topology, construct formal space characteristics and spatial relationship axiom, the ontology that Web Ontology Language (OWL) is built can be expressed its space characteristics concept, the contact of rebuilding between concept forms semantic relation, but mostly has following shortcoming:
1) quality of main body system depends on domain expert's subjective factor completely, relies on the support of priori;
2) construction cycle long, open poor, be difficult to adapt to dynamically, distribute and the environment of variation.
Therefore, in order to break away from above-mentioned difficulties, being badly in need of the new method of a kind of ontology modeling and issue, is the shared new way of opening up of implementation space information based on semanteme.
Summary of the invention
The object of this invention is to provide a kind of ontology modeling and dynamic publishing method based on remote sensing image, ontology modeling work mainly relies on a large amount of general users' inquiry to complete to go forward side by side Mobile state issue, the cycle length of avoiding only relying on minority domain expert to rely on subjective factor modeling and causing and the defect of restive quality, ensured the opening of ontology system, and can
Dynamic, issue environment are responded timely.
To achieve these goals, the invention provides a kind of ontology modeling and dynamic publishing method based on remote sensing image, comprise step:
User arranges user's realm information, and selects the field close with described user's realm information in the ontology system of at least two different field that sends server end;
User defines the concept of this area, from a plurality of remote sensing of the near field of described selection to selecting the remote sensing object similar with the concept of described definition picture;
When all remote sensing objects of selecting belong to the identical concept of described near field, determine that the identical concept of user-defined concept and described near field forms synonymy; When XML file corresponding to field under user do not have the concept of described definition, set up user-defined concept, and new name is the node of " synonym ", a newly-built child node in " synonym " node, synonym concept name for this child node, in this child node, add quantity parameter and ratio parameter, wherein a certain concept of quantity Parametric Representation near field is considered to set with user the number of times that concept is synonymy, and ratio parameter represents that quantity parameter and user set the ratio of the selecteed total degree of concept; When XML file corresponding to user field has the concept of described definition, according to user's selection number of times, upgrade quantity parameter, upgrade ratio parameter after recalculating ratio;
When the remote sensing object of selecting belongs to respectively the different concepts of described near field, determine that user-defined concept is the superordinate term of the different concepts of described near field; Under user, XML file corresponding to field do not have the concept of described definition, set up user-defined concept, and new name is the node of " lower justice ", in " lower justice " node, set up some child nodes, described child node uses respectively the different concepts of near field as the lower adopted concept of user's defined notion, by lower adopted concept, add that serial number names, in described child node, all adding quantity parameter, quantity parameter is the number of times that occurs certain lower adopted concept; When XML file corresponding to user this area has the concept of described definition, with the number of times of lower adopted concept, upgrade the quantity parameter of this node;
Preserve XML file corresponding to the affiliated field of user, the attribute of revising described XML file is read-only;
The intelligent body of described transmission server end obtains the attribute of described XML file every the schedule time, when the attribute of described XML file is while being read-only, send the content of described XML file;
The intelligent body of reception server end monitors the content of whether receiving the intelligent body transmission that sends server end, when receiving described content, described content is write to local XML file.
Compared with prior art, the present invention is based on the ontology modeling of remote sensing image and the advantage of dynamic publishing method is:
1, utilize the User behavior on remote sensing image of field user, realize ontology modeling, while having avoided dependence minority expert to set up ontology, the cycle is long, the defect that subjectivity is strong;
2, realized in frontier the formalization of semantic relation between the concept of (as forestry or soil utilize body) of specific body in concept and system, for carrying out semantic reasoning, lay a good foundation, realize the semanteme between all main body systems in frontier concept and system and switched, strengthened the ability of different field main body system interoperability;
3, by Agent, realize the dynamic issue of main body system, improved range of application and the service efficiency of ontology.
By following description also by reference to the accompanying drawings, it is more clear that the present invention will become, and these accompanying drawings are used for explaining embodiments of the invention.
Accompanying drawing explanation
Fig. 1 the present invention is based on the ontology modeling of remote sensing image and the process flow diagram of dynamic publishing method.
Embodiment
With reference now to accompanying drawing, describe embodiments of the invention, in accompanying drawing, similarly element numbers represents similar element.
With reference to figure 1, ontology modeling and the dynamic publishing method of the present embodiment based on remote sensing image, comprises the steps:
Step S1, user arranges user's realm information (UserField), and at exhaustive division and set up each other in the ontology system at least two fields of semantic relation (as forestry or soil utilize in field) and selected the field (Field) close with user's realm information (UserField) to login, enter the visual interface being formed by dissimilar remote sensing object, the semantic relation between user field and the field of the built-in ontology representative of server is set up in preparation, wherein the remote sensing object on visual interface has used the ontology of near field (Field) to classify,
Step S2, user defines the concept (temporarily with NewClass name) an of this area, in a plurality of remote sensing of visual interface, select the remote sensing object (as forest) similar with the concept (concept NewClass) of described definition on to picture, described in the remote sensing object selected form and gather;
Step S3, judges that whether all remote sensing objects in described set belong to the identical concept (representing with Class1) of the near field (Field) of selecting in step S1, if so, proceed to step S4; If not (object in remote sensing object set belongs to respectively the different concepts of near field (Field), as D1, D2 and D3 etc.), proceed to step S8;
Step S4, determines that user-defined concept (concept NewClass) and the identical concept (concept Class1) of described near field (Field) form synonymy;
Step S5, opens XML file corresponding to user field (UserField) (with F.xml name), and judgement F.xml file has or not the concept (concept NewClass) of described definition, if nothing continues step S6, if had, goes to step S7;
Step S6, set up NewClass concept, new name is the node of " synonym ", a newly-built child node in " synonym " node, concept Class1 name for this child node, in this child node, add quantity parameter (count) and ratio parameter (ratio), wherein quantity parameter (count) represents that the Class1 concept of near field is considered to set concept (NewClass) for the number of times of synonymy with user, ratio parameter (ratio) represents that count parameter and user set concept (NewClass) by the ratio of the total degree that in user field, all users select, ratio is set the degree of confidence of semantic relation between concept (NewClass) and the Class1 concept in Field field for quantitative description user, go to step S12,
Step S7, according to user's selection, according to the method for step S6, upgrades quantity parameter (count), ratio calculated parameter (ratio), refreshes the value of two parameters, goes to step S12;
Step S8, determines that user-defined concept (concept NewClass) is different concepts (the concept D of described near field (Field)
1, D
2and D
3) superordinate term;
Step S9, opens XML file corresponding to user field (UserField) (with F.xml name), and judgement F.xml file has or not the concept (concept NewClass) of described definition, if nothing continues step S10, if had, goes to step S11;
Step S10, sets up NewClass concept, and new name is the node of " lower justice ", in " lower justice " node, sets up some child nodes, and the title of child node is used respectively concept D in step S3
1, D
2and D
3deng name, as the lower adopted concept of user's defined notion (NewClass), and in these child nodes, all adding quantity parameter (count), for there is the number of times of lower adopted concept in quantity parameter (count), selection preference for recording user, goes to step S12;
Step S11, upgrades the count parameter of corresponding node separately with the number of times of lower adopted concept, and this reference record user's selection preference continues step S12;
Step S12, preserves F.xml file, and the attribute of revising described F.xml file is read-only (for dynamic publishing process provides entry condition);
Step S13, the Agent1 (intelligent body 1) of server (server 1) end of user's login obtains the attribute of described F.xml file every time T;
Step S14, judges whether the attribute of described F.xml file is read-only, if so, continues step S15, if not, goes to step S13;
Step S15, Agent1 sends the content of described F.xml file, goes to step S13 (Agent1 reads, judges file attribute again, for transmission is next time prepared);
Step S16, the upper Agent2 (intelligent body 2) in blocked state of reception server (server 2) monitors the content of whether receiving that Agent1 sends;
Step S17, when the Agent2 in blocked state receives the content of Agent1 transmission, the state of Agent2 changes unimpeded state into;
Step S18, Agent2 writes local XML file (with F.xml file designation) by described content, and the state of Agent2 changes blocked state into, goes to step S16 (Agent2 is receipt message again, for transmission is next time prepared).
As shown from the above technical solution, the ontology modeling and the dynamic publishing method that the present invention is based on remote sensing image are mainly to consider the third party professional (field that system comprises two exhaustive divisions, as forestry and soil utilization) to the visual angle of current browsing information (S1), by selected partly class in remote sensing image as sample set (step S2), then according to the criteria for classification in user field to sample define (to one's name department which or which ground class), its selected sample set of systematic analysis, add up its classification situation in known art: if the same class of the corresponding known art of all sample standard deviations of sample set, user-defined class is with it synonymy (S4), if the class that sample set comprises a plurality of known art, user-defined class is with it upper adopted relation (step S3).Then all Query Results in counting user field, and be written in XML file (S5 to S12), form the dictionary of semantic relation between user's field concept and known art concept, thereby set up two relations between the ontology of field.System will send to other nodes the XML file upgrading real-time dynamicly, realizes semantic share (S13 to S18).This method, by general user's query script, is utilized multiple dimensioned remotely-sensed data, automatically sets up the semantic relation between concept and specific area concept in different field criteria for classification, and by automatically externally issue of intelligent body (Agent).
The present invention is based on the ontology modeling of remote sensing image and the advantage of dynamic publishing method is:
1, by step S1 to S11, utilize the User behavior on remote sensing image of field user, realize ontology modeling, while having avoided dependence minority expert to set up ontology, the cycle is long, the defect that subjectivity is strong;
2, by the xml file obtaining from S12, realized in frontier the formalization of semantic relation between the concept of (as forestry or soil utilize body) of specific body in concept and system, for carrying out semantic reasoning, lay a good foundation, realize the semanteme between all main body systems in frontier concept and system and switched, strengthened the ability of different field main body system interoperability;
3, at S13 in the step of S18, by Agent, realize the dynamic issue of main body system, improved range of application and the service efficiency of ontology.
With a concrete example explanation, the present invention is based on the ontology modeling of remote sensing image and the principle of dynamic publishing method below.
Planning field user logins forestry ontology library (step S1), applies technology path of the present invention, attempts to set up in planning ontology the semantic relation of related notion in " forest " and forestry ontology;
" forest " is the concept in planning department that user determines, establishes user and is chosen in and in remote sensing image, selected 100 forest object sets (step S2);
The total degree that this concept of sum attribute representation is selected by different user, suppose 100 times, " synonym " node represents the " set of forest ” forest department synonym concept of planning, sum represents to be identified synonymy number of times (being that user sets concept by the total degree of all users' selections in user field), suppose 90 times, the forest land of 80 corresponding field of forestry of selected remote sensing object set wherein, the opening (step S3) of 10 corresponding field of forestry of selected remote sensing object set;
" forest land " is the concept of forest department, and being considered to planning department " forest " is synonym (step S4);
Open XML file (step S5), newly increase forest concept and increase by two parameter c ount (for a certain concept of near field is considered to set with user the number of times that concept is synonymy) and ratio (for the ratio of county parameter and parameter s um), count represents number of times 80 times, and ratio represents ratio 80%;
" opening " is the concept of forest department, and being considered to planning department " forest " is synonym, and count represents number of times 10 times, and ratio represents ratio 10% (step S6);
When determining " forest " concept 100 times, there is the incomplete corresponding identical concept of object (step S8) in the remote sensing object remote sensing object set of choosing for 10 times, wherein high forest occurs 10 times, mangrove occurs 6 times, bamboo grove appearance 7 times;
Open xml file, (step S9) increases lower adopted node, and sets up high forest, mangrove and three child nodes of bamboo grove, the interior quantity (step S10) that increases parameter c ount and insert corresponding conceptual object of each child node;
So far, system is set up following " planning .xml " file automatically:
File first descriptive semantics relation is to occur between which two relevant field, as planning field and forestry.Then, user, from the concept of field definition of oneself, such as forest, is identified number of times by this concept of sum attribute representation, supposes 100 times.
Under forest concept, set up two nodes, respectively called after " synonym " and " lower justice ".
Wherein " synonym " node represents that " set of forest ” forest department synonym concept supposes that one has 90 times and is identified synonymy number of times.Under this node, the concept that comprises in the near field that user selects two and forest synonym: forest land and opening, there are respectively two parameter c out and ratio, if there is the synonym that is identified planning field forest for 80 times in forest land, its ratio value is 80% (80/100), in like manner, if opening is considered to the synonym of forest for 10 times, its ratio value is 10% (10/100), obviously, although the synonym that is all considered to forest in user field from forest land and the opening of field of forestry, forest land and forest are that the degree of confidence of synonymy is higher;
As for lower adopted node, represent user field " forest " if the set of concept adopted concept under forest department when determining " forest " concept 100 times, having the remote sensing object of choosing for 10 times is not identical concept entirely, wherein high forest occurs 10 times, mangrove occurs 6 times, and bamboo grove appearance 7 times comprises three child nodes: high forest, mangrove and bamboo grove in lower adopted node, comprise respectively parameter c ount, the number of times that storage occurs separately.
Preserve file " planning .xml " file and revise its file attribute for reading, for dynamic publishing process provides entry condition (step S12);
In the Agent1 of server 1 end, be responsible for the attribute (S13) that circulation (60 seconds per intervals) judges " planning .xml " file, if file attribute is read-only, it can stop the behavior of cycle criterion, starts the behavior (step S14) of revised file attribute;
The Transmit message behavior meeting starting will " planning .xml " file content as and server 2 on Agent2 between the content of message transfer, send to Agent2; Then restart the behavior of judgement file attribute, be transmission next time prepare (step S15);
In the Agent2 of server 2 ends, have the behavior of a receipt message, it can be always in blocked state, until receive message (S16);
If message content is not empty, Agent2 can start the behavior (step S17) that writes this locality " planning .xml " file;
Agent2 reads the content of message, and in " planning .xml " file that writes this locality using content as content code.Finally can restart the behavior of receipt message, for transmit prepare (step S18) next time.
Invention has been described for above combination most preferred embodiment, but the present invention is not limited to the embodiment of above announcement, and should contain the various modifications of carrying out according to essence of the present invention, equivalent combinations.
Claims (1)
1. ontology modeling and the dynamic publishing method based on remote sensing image, comprises step:
Step S1; user arranges user's realm information; and at exhaustive division and set up each other and selected the field close with user's realm information to login in the ontology system at least two fields of semantic relation; enter the visual interface being formed by dissimilar remote sensing object; the semantic relation between user field and the field of the built-in ontology representative of server is set up in preparation, and wherein the remote sensing object on visual interface is classified with the ontology of near field;
Step S2, user defines the concept NewClass an of this area, in a plurality of remote sensing of visual interface, selects the remote sensing object similar with the concept NewClass of described definition on to picture, described in the remote sensing object selected form and gather;
Step S3, judges that whether all remote sensing objects in described set belong to the identical concept Class1 of the near field Field selecting in step S1, if so, proceed to step S4; If the object in remote sensing object set belong to respectively near field Field different concepts D1, D2, D3 ..., proceed to step S8;
Step S4, determines that the identical concept Class1 of user-defined concept NewClass and described near field Field forms synonymy;
Step S5, opens the XML file with F.xml name corresponding to user field, and judgement F.xml file has or not the concept NewClass of described definition, if nothing continues step S6, if had, goes to step S7;
Step S6, set up NewClass concept, new name is the node of " synonym ", a newly-built child node in " synonym " node, concept Class1 name for this child node, in this child node, add quantity parameter c ount and ratio parameter ratio, wherein quantity parameter c ount represents that the Class1 concept of near field is considered to set with user the number of times that concept NewClass is synonymy, ratio parameter ratio represents that quantity parameter c ount and user set concept NewClass by the ratio of the total degree that in user field, all users select, ratio is set the degree of confidence of semantic relation between concept NewClass and the Class1 concept in Field field for quantitative description user, go to step S12,
Step S7, according to user's selection, according to the method for step S6, upgrades quantity parameter c ount, ratio calculated parameter ratio, refreshes the value of two parameters, goes to step S12;
Step S8, determines that user-defined concept NewClass is the superordinate term of the different concepts of described near field Field;
Step S9, opens the XML file with F.xml name corresponding to user field, and judgement F.xml file has or not the concept NewClass of described definition, if nothing continues step S10, if had, goes to step S11;
Step S10, set up NewClass concept, new name is the node of " lower justice ", in " lower justice " node, set up some child nodes, the title of child node use respectively different concepts D1, D2 in step S3, D3 ... name, as the lower adopted concept of user's defined notion NewClass, and in these child nodes, all add quantity parameter c ount, quantity parameter c ount, for occurring the number of times of lower adopted concept, for the selection preference of recording user, goes to step S12;
Step S11, upgrades the count parameter of corresponding node separately with the number of times of lower adopted concept, and this reference record user's selection preference continues step S12;
Step S12, preserves F.xml file, and the attribute of revising described F.xml file is read-only;
Step S13, the intelligent body Agent1 of the server of user's login obtains the attribute of described F.xml file every time T;
Step S14, judges whether the attribute of described F.xml file is read-only, if so, continues step S15, if not, goes to step S13;
Step S15, Agent1 sends the content of described F.xml file, goes to step S13.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110024454.9A CN102122292B (en) | 2011-01-24 | 2011-01-24 | Geographic ontology modeling and dynamic publishing method on basis of remote sensing image |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110024454.9A CN102122292B (en) | 2011-01-24 | 2011-01-24 | Geographic ontology modeling and dynamic publishing method on basis of remote sensing image |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102122292A CN102122292A (en) | 2011-07-13 |
| CN102122292B true CN102122292B (en) | 2014-02-26 |
Family
ID=44250852
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110024454.9A Expired - Fee Related CN102122292B (en) | 2011-01-24 | 2011-01-24 | Geographic ontology modeling and dynamic publishing method on basis of remote sensing image |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102122292B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112509453B (en) * | 2020-12-14 | 2022-08-16 | 广西壮族自治区自然资源遥感院 | Electronic navigation method and system for scenic spot live-action navigation map based on mobile equipment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101561816A (en) * | 2009-05-27 | 2009-10-21 | 武汉大学 | Method for releasing geospatial data incremental information |
| CN101692224A (en) * | 2009-07-08 | 2010-04-07 | 南京师范大学 | High-resolution remote sensing image search method fused with spatial relation semantics |
| CN101877001A (en) * | 2009-10-20 | 2010-11-03 | 武汉大学 | Semantic description method for remote-sensing information processing service based on domain ontology |
-
2011
- 2011-01-24 CN CN201110024454.9A patent/CN102122292B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101561816A (en) * | 2009-05-27 | 2009-10-21 | 武汉大学 | Method for releasing geospatial data incremental information |
| CN101692224A (en) * | 2009-07-08 | 2010-04-07 | 南京师范大学 | High-resolution remote sensing image search method fused with spatial relation semantics |
| CN101877001A (en) * | 2009-10-20 | 2010-11-03 | 武汉大学 | Semantic description method for remote-sensing information processing service based on domain ontology |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102122292A (en) | 2011-07-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Chamoso et al. | Tendencies of technologies and platforms in smart cities: a state-of-the-art review | |
| CN107193967A (en) | A kind of multi-source heterogeneous industry field big data handles full link solution | |
| CN110447025A (en) | It is enabled in Internet of Things semantic mashed up | |
| CN103701894A (en) | Method and system for dispatching dynamic resource | |
| Monachesi | Shaping an alternative smart city discourse through Twitter: Amsterdam and the role of creative migrants | |
| Matous et al. | Emergence of multiplex mobile phone communication networks across rural areas: An Ethiopian experiment | |
| Furno et al. | Self-scaling cooperative discovery of service compositions in unstructured P2P networks | |
| Gao et al. | An adaptive social network-inspired approach to resource discovery for the complex grid systems | |
| Kim et al. | Evolution of the software-as-a-service innovation system through collective intelligence | |
| Franklin et al. | Making space in geographical analysis | |
| CN102122292B (en) | Geographic ontology modeling and dynamic publishing method on basis of remote sensing image | |
| US7599900B2 (en) | Method and system for using Bayesian network models in distributed sensor environment | |
| Wang et al. | Sublinear algorithms for big data applications | |
| Neville et al. | Utilising social recommendation for decision-making in distributed multi-agent systems | |
| Roast | Theory from empty land: Informal commoning outside/within economies and ecologies of the Urban | |
| Sangupamba et al. | Business intelligence and big data in the cloud: opportunities for design-science researchers | |
| CN104036052A (en) | Predicate index matching method based on historical experience | |
| CN113052712B (en) | Social data analysis method and system and storage medium | |
| Noghabi et al. | Optimized query forwarding for resource discovery in unstructured peer-to-peer grids | |
| Liu et al. | Towards dynamic reconfiguration of composite services via failure estimation of general and domain quality of services | |
| Obaidat et al. | Context-aware middleware architectural framework for intelligent smart grid data management | |
| Nongaillard et al. | Egalitarian negotiations in agent societies | |
| Shahabi et al. | Modelling P2P data networks under complex system theory | |
| Tran et al. | Towards a semantic framework for exploiting heterogeneous environmental data | |
| Pispidikis et al. | CityGML restful web service: automatic retrieval of CityGML data based on their semantics. Principles, guidelines and BLDG conceptual design |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20140226 Termination date: 20170124 |