Towards an ontological representation of services in search computing

Fabian Suchanek, Alessandro Bozzon, Emanuele Della Valle, Alessandro Campi, Stefania Ronchi

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

7 Citations (Scopus)

Abstract

In the Search Computing project, Web services are modeled by the Semantic Resource Framework (SRF). In this article, we argue that the SRF could benefit from ontological concepts borrowed from the Semantic Web. We first present the knowledge representation used in the Semantic Web, notably in the YAGO ontology [14]. We show how this model is used in the ANGIE system [12] to represent Web Services in conjunction with YAGO. We draw parallels to the Service Mart [3] model used in SeCo. We propose a symbiosis of the two models, discussing the challenges and advantages that come with the integrated model.
Original languageEnglish
Title of host publicationSearch Computing - Trends and Developments
Place of PublicationBerlin
PublisherSpringer
Pages101-112
Number of pages12
Volume6585 LNCS
ISBN (Electronic)978-3-642-19668-3
ISBN (Print)9783642196676
DOIs
Publication statusPublished - 2011
Externally publishedYes
EventWorkshop on Search Computing - Trends and Developments, SeCo 2010 - Como, Milan, Italy
Duration: 25 May 201031 May 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6585 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceWorkshop on Search Computing - Trends and Developments, SeCo 2010
CountryItaly
CityComo, Milan
Period25/05/1031/05/10

Keywords

  • Access Pattern
  • SPARQL Query
  • Virtual Service
  • Link Open Data
  • Ontological Representation

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  • Cite this

    Suchanek, F., Bozzon, A., Della Valle, E., Campi, A., & Ronchi, S. (2011). Towards an ontological representation of services in search computing. In Search Computing - Trends and Developments (Vol. 6585 LNCS, pp. 101-112). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6585 LNCS). Springer. https://doi.org/10.1007/978-3-642-19668-3_9