Improving REST Service Discovery with Unsupervised Learning Techniques

Rodríguez, Juan Manuel; Zunino, Alejandro; Mateos, Cristian; Segura, Felix Oscar; Rodríguez, Emmanuel

doi:10.1109/cisis.2015.14

Cited by 7 publications

(6 citation statements)

References 25 publications

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“…A commonplace approach for partitioning the search space is clustering [6]. Clustering is the task of grouping sets of elements into a way that these elements are more related to each other than with elements from different groups.…”

Section: Syntactic Web Service Discoverymentioning

confidence: 99%

“…Although UDDI has not been widely accepted, the importance of service discovery has motivated a wide range of research [5]. Analogously, discovery is also an important research topic in REST services [6–8]. Currently, regardless of service type, there are two main approaches for service discovery: semantic based [9] and syntactic based [8].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Exploiting named entity recognition for improving syntactic-based web service discovery

Lizarralde

Mateos

Rodríguez

et al. 2018

Journal of Information Science

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Web Services have become essential to the software industry as they represent reusable, remotely accessible functionality and data. Since Web Services must be discovered before being consumed, many discovery approaches applying classic Information Retrieval techniques, which store and process textual service descriptions, have arisen. These efforts are affected by term mismatch: a description relevant to a query can be retrieved only if they share many words. We present an approach to improve Web Service discoverability that automatically augments Web Service descriptions and can be used on top of such existing syntactic-based approaches. We exploit Named Entity Recognition to identify entities in descriptions and expand them with information from public text corpora, for example, Wikidata, mitigating term mismatch since it exploits both synonyms and hypernyms. We evaluated our approach together with classical syntactic-based service discovery approaches using a real 1274-service dataset, achieving up to 15.06% better Recall scores, and up to 17% Precision-at-1, 8% Precision-at-2 and 4% Precision-at-3.

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Section: Syntactic Web Service Discoverymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploiting named entity recognition for improving syntactic-based web service discovery

Lizarralde

Mateos

Rodríguez

et al. 2018

Journal of Information Science

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“…Indeed, REST services are rapidly gaining importance in the industry, but a recent study [13] has shown that REST developers do not follow good practices to define REST APIs. Furthermore, even when there is no standard for describing REST service APIs yet, some authors [27,26,23,47] have proposed different approaches for REST service discovery and mash-up, which opens the door to further research in the area. For instance, in [47] a REST service discovery registry exploiting text processing techniques has been proposed.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Spotting and Removing WSDL Anti-pattern Root Causes in Code-first Web Services Using NLP Techniques : A Thorough Validation of Impact on Service Discoverability

Hirsch

Rodríguez

et al. 2018

Computer Standards & Interfaces

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“…In this context, there are languages analogous to WSDL being developed for describing REST services, such as the Web Application Description Language (WADL). In fact, we have recently proposed algorithms for discovering REST services Rodriguez et al (2015b), which provides a keyword based interface to search over an index of WADL documents preprocessed via text mining and clustering techniques. Currently, we are evaluating this support using 1,400 REST descriptions extracted from the Mashape repository 7 , which opened up the opportunity of studying REST-specific bad specification practices.…”

Section: Future Research Opportunitiesmentioning

confidence: 99%

“…Therefore, we are building a catalog similar to that of WSDL anti-patterns (with 6 bad practices already identified). Based on this, we will propose refactoring actions and evaluate their impact on WADL discoverability using our registry Rodriguez et al (2015b).…”

Section: Future Research Opportunitiesmentioning

confidence: 99%

A Stitch in Time Saves Nine: Early Improving Code-First Web Services Discoverability

Mateos

Crasso

Zunino

et al. 2015

Int. J. Coop. Info. Syst.

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Web Services represent a number of standard technologies and methodologies that allow developers to build applications under the Service-Oriented Computing paradigm. Within these, the WSDL language is used for representing Web Service interfaces, while code-first remains the de facto standard for building such interfaces. Previous studies with contract-first Web Services have shown that avoiding a specific catalog of bad WSDL specification practices, or anti-patterns, can reward Web Service publishers as service understandability and discoverability are considerably improved. In this paper, we study a number of simple and well-known code service refactorings that early reduce anti-pattern occurrences in WSDL documents. This relationship relies upon a statistical correlation between common OO metrics taken on a service's code and the anti-pattern occurrences in the generated WSDL document. We quantify the effects of the refactorings — which directly modify OO metric values and indirectly alter anti-pattern occurrences — on service discovery. All in all, we show that by applying the studied refactorings, anti-patterns are reduced and Web Service discovery is significantly improved. For the experiments, a dataset of real-world Web Services and an academic service registry have been employed.

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Improving REST Service Discovery with Unsupervised Learning Techniques

Cited by 7 publications

References 25 publications

Exploiting named entity recognition for improving syntactic-based web service discovery

Exploiting named entity recognition for improving syntactic-based web service discovery

Spotting and Removing WSDL Anti-pattern Root Causes in Code-first Web Services Using NLP Techniques : A Thorough Validation of Impact on Service Discoverability

A Stitch in Time Saves Nine: Early Improving Code-First Web Services Discoverability

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