WSDL term tokenization methods for IR-style Web services discovery

Wu, Chen

doi:10.1016/j.scico.2011.08.001

Cited by 25 publications

(27 citation statements)

References 25 publications

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“…Chen Wu [11] proposed IR-style web service discovery that uses inverted file indexes for Web services discovery that will be merged in CLIR methods in the proposed approach.…”

Section: The Ir-style Web Services Discoverymentioning

confidence: 99%

“…Chen Wu [11] proposed IR-style Web services discovery approach that was illustrated in fig. 2, in which term tokenization constitutes an important step for WSDL term processing.…”

Section: The Ir-style Web Services Discoverymentioning

confidence: 99%

“…Initially, service providers deploy their Web services accessible to the public via the Web. In doing so, they also publish a service description, i.e., the WSDL documents, which captures the functional capabilities and technical details (e.g., transport bindings) of a Web service these service descriptions could be collected by a number of service Crawlers, which fetch WSDL files from the Internet [11].…”

Section: The Ir-style Web Services Discoverymentioning

confidence: 99%

“…This yields a list of new URLs that may point to some new WSDL files. The URL server such as Pica-Pica Web service description Crawler [11] assigns these URLs to an idle crawler.…”

Section: The Ir-style Web Services Discoverymentioning

confidence: 99%

“…), (2) tokenizes extracted content into separate terms (the focus of this paper), and (3) carries out other linguistic tasks such as lemmatization and stop-word elimination, etc. The fivetokenization methods (two baselines, Kokash and MMA, and three statistical methods MDL, TP, and PPM) are used in step two [11].…”

Section: The Ir-style Web Services Discoverymentioning

confidence: 99%

See 4 more Smart Citations

Cross-Language Semantic Web Service Discovery to Improve the Selection Mechanism by using Data Mining Techniques

Eldin¹,

Khedr²,

Al-sharif³

2015

IJCA

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Web service became one of the important methods for communication through the internet and its usage increased in the levels of users and developers. Semantic web service represents the second generation of web services that contains more description and information about its contents. Searching and dealing with web service is done through process called web service discovery which returns a Semantic Web Service Description Language file (SWSDL) for each web service. This research aims to expand the semantic web service usage through adding the multilanguage capability to the web service's discovery process and through recommending other web services to the user based on his history in using web services. These aims were achieved by modifying the web service discovery model through adding two important techniques the Cross Language Information Retrieval (CLIR) technique and the data mining association rules technique. This research proposed two sub models, the first sub model proposed the application of CLIR techniques and information retrieval method to support Bilingual Web service discovery process the second language that proposed here is Arabic.Text mining techniques were applied on SWSDL content and user's query to be ready for CLIR methods, this sub model was tested on a curated catalogue of Life Science Web Services http://www.biocatalogue.org/ and achieving 99.38 % accuracy and 87.23 precision of the effectiveness of the monolingual system. The second sub model proposed a process of web service recommendation by applying the data mining techniques to suggest another web service beside the one he got from the discovery process based on the user's history. This sub model was tested on the mention curated web services site and the results were 65 % of users chose services from the services that recommended by the proposed sub model.

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“…Chen Wu [11] proposed IR-style web service discovery that uses inverted file indexes for Web services discovery that will be merged in CLIR methods in the proposed approach.…”

Section: The Ir-style Web Services Discoverymentioning

confidence: 99%

“…Chen Wu [11] proposed IR-style Web services discovery approach that was illustrated in fig. 2, in which term tokenization constitutes an important step for WSDL term processing.…”

Section: The Ir-style Web Services Discoverymentioning

confidence: 99%

Section: The Ir-style Web Services Discoverymentioning

confidence: 99%

“…This yields a list of new URLs that may point to some new WSDL files. The URL server such as Pica-Pica Web service description Crawler [11] assigns these URLs to an idle crawler.…”

Section: The Ir-style Web Services Discoverymentioning

confidence: 99%

Section: The Ir-style Web Services Discoverymentioning

confidence: 99%

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Cross-Language Semantic Web Service Discovery to Improve the Selection Mechanism by using Data Mining Techniques

Eldin¹,

Khedr²,

Al-sharif³

2015

IJCA

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A tool to improve code‐first Web services discoverability through text mining techniques

2014

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SummaryService‐oriented development is challenging mainly because Web service developers tend to disregard the importance of the exposed service APIs, which are specified using Web Service Description Language (WSDL) documents. Methodologically, WSDL documents can be either manually generated or inferred from service implementations using WSDL generation tools. The latter option, called code first, is the most used approach in the industry. However, it is known that there are some bad practices in service implementations or defects in WSDL generation tools that may cause WSDL documents to present WSDL anti‐patterns, which in turn compromise the chances of documents of being discovered and understood. In this paper, we present a software tool that assists developers in obtaining WSDL documents with as few WSDL anti‐patterns as possible. The tool combines text mining and meta‐programming techniques to process service implementations and is developed as an Eclipse plug‐in. An evaluation of the tool by using a data‐set of real service implementations in terms of anti‐pattern avoidance accuracy and discovery performance by using classical Information Retrieval metrics—Precision‐at‐n, Recall and Normalized Discounted Cumulative Gain—is also reported.Copyright © 2014 John Wiley & Sons, Ltd.

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Review of Current Web Service Retrieval Methods

Czyszczoń

Zgrzywa

2016

Recent Developments in Intelligent Information and Database Systems

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WSDL term tokenization methods for IR-style Web services discovery

Cited by 25 publications

References 25 publications

Cross-Language Semantic Web Service Discovery to Improve the Selection Mechanism by using Data Mining Techniques

Cross-Language Semantic Web Service Discovery to Improve the Selection Mechanism by using Data Mining Techniques

A tool to improve code‐first Web services discoverability through text mining techniques

Review of Current Web Service Retrieval Methods

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