CN104809147A - Service semantics mark reinforcing method based on implementing analysis feedback - Google Patents

Service semantics mark reinforcing method based on implementing analysis feedback Download PDF

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CN104809147A
CN104809147A CN201510063297.0A CN201510063297A CN104809147A CN 104809147 A CN104809147 A CN 104809147A CN 201510063297 A CN201510063297 A CN 201510063297A CN 104809147 A CN104809147 A CN 104809147A
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web service
service
parameter
mark
web
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CN104809147B (en
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冯志勇
陈世展
黄科满
何东晓
陈娟
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Shenzhen Fangyuan Tianlun Technology Co.,Ltd.
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Tianjin University
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Abstract

The invention discloses a service semantics mark reinforcing method based on implementing analysis feedback. The method is on the basis of a WSDL description document of a service interface, the semantic network technology and an associated data body. The method comprises the steps of automatically generating a marker of web service parameters; calling the web service according to the marker; recording and analyzing the calling result of the web service; analyzing the web service calling result; extracting feedback information for iteratively calling the web service until successfully calling; obtaining the feedback information for the service marker according to the analysis result; assisting a user to mark the semantics for the service well so as to improve the marking for the service semantics. Compared with the prior art, the method has the advantages that the semantic marking process and the marking quality evaluation are integrated; the evaluation for the semantics marking quality is beneficial for the user to perform semantic marking for the service, so that the semantic marking efficiency can be increased; the semantic marking process can influence the effectiveness of the semantic marking quality evaluation method.

Description

A kind of service semantics mark Enhancement Method based on empirical evaluation feedback
Technical field
The present invention relates to Web service technology field, specifically, relate to a kind of Web service semantic tagger Enhancement Method based on empirical evaluation feedback.
Background technology
Web service is network, distributed, self-described, modular assembly, is the best practices realizing service-oriented computing, Enterprise SOA (SOA).But traditional Web service, based on XML, lacks semantic meaning representation ability, is unfavorable for the mutual of intercomputer, is unfavorable for that realizing Web service finds, combines, calls in the ability representing demand and Web service.The key of the automatic integration of the service of solving and interaction problems is considered to based on the Semantic Web Technology such as RDF, body, Semantic Web Technology is applied to Web service field, utilize the semantic description of semantic tagger technological expansion Web service, also namely carry out semantic tagger to Web service can promote to realize automatic Web service on Web and find, combine, call and monitoring etc., also contribute to building more flexible, healthy and strong service-oriented application.
In essence, mark is exactly a kind of explanation.Namely service mark explains the data type in WSDL or other service description file with the semantic concept in domain body.In recent years in order to solve classification of service, find, reuse, produced problem during combination etc. realize, the method of Web service being carried out to semantic tagger is used in Study on Problems and technology realization by many researchers, emerged in large numbers multiple mask method simultaneously, create a large amount of annotation results to be used by Many researchers, but only have when these annotation results can reflect Web service semantic accurately that they just have value, and in the semantic tagger result of quite a few Web service, there is inaccurate form, so these annotation results cannot promote that Web service finds better, the realization of the research work such as combination.Therefore the quality of the appraisement system of complete set to Web service annotation results is needed to evaluate.
And at present about semantic tagger matter quantifier elimination also compare preliminary, the not appraisement system of formation system and evaluation method, also lacks corresponding positive research simultaneously; Secondly current research separates by the process of semantic tagger with to the evaluation of mark quality mostly, and in fact both are complementary.User will be contributed to the evaluation of semantic tagger quality and better semantic tagger be carried out to service, improve the efficiency of semantic tagger; The process of semantic tagger then affects the validity of semantic tagger quality evaluating method conversely.Therefore research of the present invention is by the angle from real example, and build semantic tagger and mark the mutually unified verification system of quality assessment, assisting users better carries out semantic tagger to service.
Summary of the invention
In order to overcome above-mentioned prior art Problems existing, the present invention proposes a kind of service semantics mark Enhancement Method based on empirical evaluation feedback, from the angle of real example, WSDL based on service interface describes document, semantic network technology and associated data body, the parameter of web services is called in automatic generation, and calls web services, record and analyze web services call result, the feedback information for service mark is obtained according to analysis result, thus enhancement service semantic tagger.
The present invention proposes a kind of service semantics mark Enhancement Method based on empirical evaluation feedback, the method comprises the following steps:
Step (1), first judge whether Web service can be used, if available, perform step (2);
Step (2), resolve the WSDL document of Web service, obtain and preserve the information such as title, service interface title, service interface description, service parameter title, service parameter type of Web service;
Step (3), mark web services parameter, carry out parameter to Web service parameter and refine and clean, by the parameter association after each cleaning of Web service on a DBpedia example, obtain annotation results;
Step (4), by annotation results according to SPARQL syntax rule coding, generate SPARQL statement; Realize the inquiry of DBpedia case library by coding, if Query Result non-NULL, then obtain example and perform step (6); If SPARQL inquiry for empty, then performs step (5);
Step (5), inquire about local DBpedia case library obtain example, if Query Result non-NULL, then perform step (6);
Step (6), instance data is utilized to generate the test data of called Web service parameter;
Step (7), utilize above-mentioned test data called Web service;
Step (8), obtain and preserve Web service call result;
Step (9), analysis Web service call result, if Web service is called successfully and returned correctly call result, perform step (10); If Web service malloc failure malloc, perform step (11);
Step (10), extraction call calling the effective information in result and being saved to local case library of successful Web service, perform step (12);
The mark of the parameter of the Web service of step (11), record malloc failure malloc, regenerates instance data according to local case library and records this process, and performing step (7);
Step (12), record in conjunction with the mark of the Web service parameter of local case library and malloc failure malloc, revise, enrich the mark of the Web service parameter of malloc failure malloc, generate feedback information and also preserve;
Step (13), feedback information to be applied in the annotation process of foregoing schemes again.
Compared with prior art, the present invention combines by the process of semantic tagger with to the evaluation of mark quality, will contribute to user and better carry out semantic tagger to service, and improve the efficiency of semantic tagger to the evaluation of semantic tagger quality; The process of semantic tagger then affects the validity of semantic tagger quality evaluating method conversely; By the angle from real example, build semantic tagger and mark the mutually unified verification system of quality assessment, assisting users better carries out semantic tagger to service.
Accompanying drawing explanation
figure1 is the flow process that the service semantics based on feedback provided by the invention marks Enhancement Method figure;
figure2 is the flow process being obtained example by SPARQL inquiry provided by the invention figure;
figure3 is the flow process of called Web service provided by the invention figure;
figure4 are analysis provided by the invention and extract the flow process that result is called in Web service figure;
figure5 is SPARQL query example provided by the invention.
Embodiment
Below in conjunction with attached figureand embodiment, be described in further detail technical scheme of the present invention.
Because the accuracy of Web service mark is significant for the research such as Web service combination, discovery, in order to verify the accuracy of annotation results, and generating effective Feedback information enhancement mask method, the invention process provides a kind of semantic tagger Enhancement Method based on feedback, see figure1 ~ figure4, described below:
Step (1), first judge whether Web service can be used, if available, perform step (2);
Step (2), utilize the WSDL document of Dom4j tool parses Web service, obtain the information such as title, service interface title, service interface description, service parameter title, service parameter type of Web service, and store;
Step (3), utilize DBpedia body mark service parameter, comprise the Web service marking model set up based on DBpedia associated data, carry out parameter to Web service parameter layer refine and clean, utilize DBpedia Spotlight to apply the parameter association after each cleaning of Web service on a suitable DBpedia instance data or Ontological concept; (above-mentioned parameter refine and the particular content that cleans see Chinese invention patent ZL201310172375.1; Record according to [0052] section in Chinese invention patent ZL201310172375.1: " carrying out parameter to web services parameter layer to refine; for resolving the input and output parameter collection obtained, be simple parameter by the complex parameters type of decomposition with structure "; Record according to [0053] section in Chinese invention patent ZL201310172375.1: parameter cleaning is the process for parameter name, namely " due in WSDL document; parameter name is irregular word; and be not the form with participial construction; but write the two or more syllables of a word together or abbreviation; therefore, parameter cleaning process is by necessity.The method of process service parameter title comprises:
E. according to input and output information acquisition keyword.The input and output parameter of many services has the name form of getAbyB, or the output parameter had is the form of getB, and obviously, in this case, A is the keyword of input parameter, and B is the keyword of output parameter;
F. participle is realized.Owing to not having space in the definition of parameter name, we need to carry out participle according to initial caps to parameter.In addition, also need to filter punctuation mark and link symbol;
G. insignificant word is filtered.One group is obtained after participle independentword, the something in them is nonsensical, needs to be left in the basket.In WSDL document, the word of the frequency of occurrences more than 90% is nonsensical because they be difficult to distinguish between difference.Nonsense words table is safeguarded in our database;
H. abb. is recovered.Another expression dictionary of abbreviations table safeguarded in our database, the final step of process parameter is by comparing dictionary of abbreviations table, the abb. in reduction word array.”)
Step (4), by annotation results according to SPARQL (simple protocol and resource description framework query language, Simple Protocol and RDF Query Language) syntax rule, generate SPARQL statement and realize inquiry by program code, if SPARQL Query Result non-NULL, then obtain example and perform step (6); If SPARQL inquiry for empty, then performs step (5);
Step (5), inquire about local case library obtain example, if Query Result non-NULL, then perform step (6);
Step (6), example value is utilized to generate the test data of parameter of called Web service;
The test data called Web service that step (7), utilization generate;
Step (8), obtain and preserve Web service call result;
Step (9), analysis Web service call result, if Web service is called successfully and returned correctly call result execution step (10); If Web service malloc failure malloc, perform step (11);
Step (10), extraction call calling the effective information in result and being stored to local case library of successful Web service;
The mark of the parameter of the Web service of step (11), record malloc failure malloc, regenerates example value according to local case library and records this process, and performing step (7);
Step (12), mark in conjunction with the parameter of the Web service of the malloc failure malloc of local case library and record, revise, enrich the mark of the parameter of the Web service of malloc failure malloc, generate and store feedback information;
Step (13), feedback information to be applied in the annotation process of foregoing schemes again.
Step of the present invention (1) judges whether Web service can be used, due to Web service instability and safeguard on unreliability, must judge the availability of Web service before enforcement, its detailed process is as follows:
(1.1) web page address WSDL URL and the destination node Endpoint of Web service, is first obtained;
(1.2) client programming kit HttpClient, is utilized to generate HttpClinet object and parameters;
(1.3) the WSDL URL of Web service, is utilized to generate GetMethod object and parameters;
(1.4) HTTP GET request, is performed;
(1.5), judge the status code that returns, if return state code 200, then perform step (1-6);
(1.6) Endpoint of Web service, is utilized to generate GetMethod object and parameters;
(1.7), judge the status code that returns, if return state code 200, then this service is available, also namely only has as WSDL URL and Endpoint of this service of access that all return state code 200 is just available.
Step of the present invention (4) be by SPARQL inquiry obtain example value, its flow process see figure2, key code exemplifying embodiment is as follows:
Detailed process is described below:
(4.1) annotation results that the carrying out, obtaining the local each parameter for Web service stored marks;
(4.2) if annotation results non-NULL, then step 4.3 is performed;
(4.3) if annotation results is Ontological concept, then step 4.4 is performed, because only have Ontological concept can find corresponding example; Otherwise perform step 4.6;
(4.4), using the Ontological concept of mark as object, predicate is rdf:type, according to SPARQL syntax rule, generates SPARQL statement;
(4.5), utilize Jena Semantic Web kit the request of query statement to be sent to DBpedia SPARQL protocol terminal http://dbpedia.org/sparql, perform step 4.7;
(4.6) its fraternal example of Query By Example of mark, is utilized;
(4.7), judge whether Query Result is empty, because some Ontological concept does not have corresponding example, then choose 6 example value if not empty, example as corresponding in Currency concept has
http://dbpedia.org/resource/Krak%C3%B3w_z%C5%82oty、
The example value such as http://dbpedia.org/resource/Polish_Z%C5%82oty, http://dbpedia.org/resource/Straits_Dollar; If Query Result is empty, then inquires about local case library and obtain example.
Step of the present invention (7) is that detailed process is shown in by HttpClient called Web service figure3, its detailed process is as follows:
(7.1) information such as the Endpoint of the local Web service stored, operation name, parameter name, targetNameSpace, parameter value, is obtained;
(7.2) if targetNameSpace is legal, Soap request msg is generated;
(7.3), the Endpoint of Web service is utilized to generate a PostMethod object, and parameters;
(7.4), Soap request msg is added in PostMethod;
(7.5), a HttpClient object is generated, and parameters;
(7.6) HttpClient object, is utilized to send PostMethod request.
Step of the present invention (10) be analyze call successful Web service call result, its detailed process is shown in figure4, detailed process is as follows:
(10.1), preserve the Soap response data calling web services, form is XML;
(10.2) SaxReader of DOM4j, is utilized to read XML file;
(10.3), Document object is obtained;
(10.4) root node of document, is obtained;
(10.5), obtain certain node under all child nodes, as CurrencyISOCode, and travel through;
(10.6), extract all child nodes as the content under CurrencyISOCode and be stored into local case library and again obtain example for the successful Web service of never call, example code is as follows;
Step of the present invention (12) is that detailed process is as follows for mask method provides feedback information:
(12-1) the parameter mark of the Web service of malloc failure malloc, is obtained;
(12-2), inquiring about local case library, is the example value that this parameter generates again, if this service success in calling next time, then records mark and the example value of this Web service parameter;
(12-3), revise, enrich the mark of this parameter according to recorded mark and example value thus record this process and generate feedback information.

Claims (6)

1., based on a service semantics mark Enhancement Method for empirical evaluation feedback, it is characterized in that, the method comprises the following steps:
Step (1), first judge whether Web service can be used, if available, perform step (2);
Step (2), resolve the WSDL document of Web service, obtain and preserve the information such as title, service interface title, service interface description, service parameter title, service parameter type of Web service;
Step (3), mark web services parameter, carry out parameter to Web service parameter and refine and clean, by the parameter association after each cleaning of Web service on a DBpedia example, obtain annotation results;
Step (4), by annotation results according to SPARQL syntax rule coding, generate SPARQL statement; Realize the inquiry of DBpedia case library by coding, if Query Result non-NULL, then obtain example and perform step (6); If SPARQL inquiry for empty, then performs step (5);
Step (5), inquire about local DBpedia case library obtain example, if Query Result non-NULL, then perform step (6);
Step (6), instance data is utilized to generate the test data of called Web service parameter;
Step (7), utilize above-mentioned test data called Web service;
Step (8), obtain and preserve Web service call result;
Step (9), analysis Web service call result, if Web service is called successfully and returned correctly call result, perform step (10); If Web service malloc failure malloc, perform step (11);
Step (10), extraction call calling the effective information in result and being saved to local case library of successful Web service, perform step (12);
The mark of the parameter of the Web service of step (11), record malloc failure malloc, regenerate instance data according to local case library and record this process, and perform step (7) ~ step (11), iteration called Web service, until call successfully;
Step (12), record in conjunction with the mark of the Web service parameter of local case library and malloc failure malloc, revise, enrich the mark of the Web service parameter of malloc failure malloc, generate feedback information and also preserve;
Step (13), feedback information to be applied in the annotation process of foregoing schemes again.
2. a kind of service semantics mark Enhancement Method based on empirical evaluation feedback as claimed in claim 1, is characterized in that, described step (1) judge Web service whether can detailed process, specifically comprise following process:
Step (1.1), the web page address WSDL URL first obtaining Web service and destination node Endpoint;
Step (1.2), client programming kit HttpClient is utilized to generate HttpClinet object parameters;
Step (1.3), the WSDL URL of Web service is utilized to generate GetMethod object parameters;
Step (1.4), execution HTTP GET request;
The status code that step (1.5), judgement return, if return state code 200, then performs step (1.6);
Step (1.6), the Endpoint of Web service is utilized to generate GetMethod object parameters;
The status code that step (1.7), judgement return, if return state code 200, then this service is available.
3. a kind of service semantics based on empirical evaluation feedback marks Enhancement Method as claimed in claim 1, and it is characterized in that, the acquisition example in described step (4), its detailed process of this step comprises following process:
The annotation results that step (4.1), the carrying out obtaining the local each parameter for Web service stored mark;
Step (4.2) if annotation results non-NULL, then performs step 4.3;
Step (4.3) if annotation results is Ontological concept, then performs step 4.4, because only have Ontological concept can find corresponding example; Otherwise perform step 4.6;
Step (4.4), using the Ontological concept of mark as object, predicate is rdf:type, according to SPARQL syntax rule, generates SPARQL statement;
Step (4.5), utilize Jena Semantic Web kit that the request of query statement is sent to DBpedia SPARQL protocol terminal, perform step (4.7);
Its fraternal example of Query By Example of step (4.6), utilization mark;
Step (4.7), judge that whether Query Result is empty, because some Ontological concept does not have corresponding example, then choose 6 examples if not empty.
4. a kind of service semantics based on empirical evaluation feedback marks Enhancement Method as claimed in claim 1, and it is characterized in that, the called Web service in described step (7), its detailed process of this step comprises following process:
Step (7.1), the Endpoint obtaining the local Web service stored, operation name, parameter name, targetNameSpace, parameter information;
Step (7.2), if targetNameSpace is legal, generates Soap request msg;
Step (7.3), the Endpoint of Web service is utilized to generate a PostMethod object, and parameters;
Step (7.4), Soap request msg is added in PostMethod object;
Step (7.5), a generation HttpClient object, and parameters;
Step (7.6), utilize HttpClient object send PostMethod request.
5. a kind of service semantics based on empirical evaluation feedback marks Enhancement Method as claimed in claim 1, it is characterized in that, calling the effective information in result and being saved to local case library of successful Web service is called in the extraction of described step (10), and its detailed process of this step comprises following process:
Step (10.1), preservation call the Soap response data of web services, and form is XML, as shown in Figure 7;
Step (10.2), utilize DOM4j SaxReader read XML file;
Step (10.3), acquisition Document object;
The root node of step (10.4), acquisition document;
Step (10.5), obtain certain node under all child nodes, and to travel through;
Step (10.6), extract all child nodes content and be stored into local case library and again obtain example for the successful Web service of never call.
6. a kind of service semantics based on empirical evaluation feedback marks Enhancement Method as claimed in claim 1, and it is characterized in that, the generation feedback information of described step (12), its detailed process of this step comprises following process:
The mark of the Web service parameter of step (12.1), acquisition malloc failure malloc;
Step (12.2), inquiring about local case library, is the example value that this parameter generates again, if this service success in calling next time, then records mark and the example value of this Web service parameter;
Step (12.3), according to recorded mark and example value amendment, enrich this parameter mark thus record this process and generate feedback information.
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