Bootstrapping Ontologies for Web Services

Segev, Aviv; Sheng, Quan Z.

doi:10.1109/tsc.2010.51

Cited by 54 publications

(36 citation statements)

References 33 publications

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“…In order to aid ontology and mapping development, a bootstrapping component (cf. [73]) automatically harvests existing schemas and ontologies and generates an initial ontology and mappings; this is followed by a manual fine-tuning and enhancement process.…”

Section: Motivating Scenario: Optiquementioning

confidence: 99%

Experiencing OptiqueVQS: a multi-paradigm and ontology-based visual query system for end users

Soylu

Giese

Jiménez-Ruiz

et al. 2015

Univ Access Inf Soc

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Data access in an enterprise setting is a determining factor for value creation processes, such as sense making, decision making, and intelligence analysis. Particularly, in an enterprise setting, intuitive data access tools that directly engage domain experts with data could substantially increase competitiveness and profitability. In this respect, the use of ontologies as a natural communication medium between end users and computers has emerged as a prominent approach. To this end, this article introduces a novel ontology-based visual query system, named OptiqueVQS, for end users. OptiqueVQS is built on a powerful and scalable data access platform and has a user-centric design supported by a widget-based flexible and extensible architecture allowing multiple coordinated representation and interaction paradigms to be employed. The results of a usability experiment performed with non-expert users suggest that OptiqueVQS provides a decent level of expressivity and high usability, and hence is quite promising.Keywords Visual query formulation · visual query systems · ontology-based data access · data retrieval 1 Introduction

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Section: Motivating Scenario: Optiquementioning

confidence: 99%

Experiencing OptiqueVQS: a multi-paradigm and ontology-based visual query system for end users

Soylu

Giese

Jiménez-Ruiz

et al. 2015

Univ Access Inf Soc

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“…All the sentences are annotated with aspects, prepositions and named entities. Segev and Sheng (2012) stated boostraing ontology by continuous analysis of WSDL documents and employs ontology based on concetp and relation. In order to annotate, concept from the WSDL must be matched to concept from an appropriate ontology out of an ontology store.…”

Section: Jcsmentioning

confidence: 99%

Selection of Ontology for Web Service Description Language to Ontology Web Language Conversion

Mannan¹,

Sundarambal²,

Raghul³

2014

Journal of Computer Science

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Semantic web is to extend the current human readable web to encoding some of the semantic of resources in a machine processing form. As a Semantic web component, Semantic Web Services (SWS) uses a mark-up that makes the data into detailed and sophisticated machine readable way. One such language is Ontology Web Language (OWL). Existing conventional web service annotation can be changed to semantic web service by mapping Web Service Description Language (WSDL) with the semantic annotation of OWL-S. In this conversion of WSDL to OWL process, the ontology plays a vital role. Ontology can be stored and retrieved from local repository and selecting the appropriate ontology is a complicated process and this can be achieved by Ontology Searching and Property Matching (OSPM) engine. Ontology is stored in the local repository as ontology document and exact matching of ontology for the requested query can be searched using semantic similarity ranking method. High ranked classes of ontology will undergo property matching; here requested concept will be matched with the resulting property. OSPM engine act as the backbone for selecting an exact ontology and reduce the conflict that occurs while selecting the ontology for annotation purpose.

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“…The closest work to ours in providing bootstrapping ontologies for Web services is presented by Segev and Sheng [18]. They combined TF/IDF measures with Web search results to discover proper domain concepts representing WSDL elements and then validate it using textual documentations in WSDL documents.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of a Semi-automated Semantic Annotation Approach for Bootstrapping the Analysis of Large-Scale Web Service Networks

Mokarizadeh

Küngas

Matskin

2011

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology

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Abstract-In recent years many methods have been proposed, which require semantic annotations of Web services as an input. Such methods include discovery, match-making, composition and execution of Web services in dynamic settings, just to mention few. At the same time automated Web service annotation approaches have been proposed for supporting application of former methods in settings where it is not feasible to provide the annotations manually. However, lack of effective automated evaluation frameworks has seriously limited proper evaluation of the constructed annotations in practical settings where the overall annotation quality of millions of Web services needs to be evaluated. This paper describes an evaluation framework for measuring the quality of semantic annotations of large number of Web services descriptions provided in form of WSDL and XSD documents. The evaluation framework is based on analyzing network properties, namely scale-free and smallworld properties, of Web service networks, which in turn have been constructed from semantic annotations of Web services. The evaluation approach is demonstrated through evaluation of a semi-automated annotation approach, which was applied to a set of publicly available WSDL documents describing altogether ca 200 000 Web service operations.

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Bootstrapping Ontologies for Web Services

Cited by 54 publications

References 33 publications

Experiencing OptiqueVQS: a multi-paradigm and ontology-based visual query system for end users

Experiencing OptiqueVQS: a multi-paradigm and ontology-based visual query system for end users

Selection of Ontology for Web Service Description Language to Ontology Web Language Conversion

Evaluation of a Semi-automated Semantic Annotation Approach for Bootstrapping the Analysis of Large-Scale Web Service Networks

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