Searching Semantic Web objects based on class hierarchies

Gong Cheng, Honghan Wu, Weiyi Ge, Yuzhong Qu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

On the Semantic Web, objects can be identified by URIs and described by using RDF. With more and more RDF data published, object search on the Semantic Web is in demand for browsing, reuse, and integration. We developed the Falcons system, a keyword-based search engine for the Semantic Web. In this paper, we present the object search service provided by Falcons. For building an inverted index from query terms to Semantic Web objects (SW objects), we present a method to construct comprehensive textual description of SW objects. Furthermore, SW objects are also indexed from their classes and ancestor classes to support the class-based query restriction. Especially, class subsumption reasoning on multiple vocabularies on the Semantic Web is performed, and a class recommendation technique is proposed to enable hierarchically navigating classes. In addition, a summarization method for SW objects is devised to enable users to browse the summaries of objects.

Original languageEnglish
Title of host publicationIn Proceedings of Linked Data on the Web Workshop
Volume369
Publication statusPublished - 1 Dec 2008
EventWWW 2008 Workshop on Linked Data on the Web, LDOW 2008 - Beijing, China
Duration: 22 Apr 200822 Apr 2008

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS
ISSN (Print)1613-0073

Conference

ConferenceWWW 2008 Workshop on Linked Data on the Web, LDOW 2008
CountryChina
CityBeijing
Period22/04/0822/04/08

Keywords

  • Class hierarchy
  • Indexing
  • Navigation
  • Search engine
  • Summarization

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