Is there anything worth finding on the semantic web?

ABSTRACT

There has recently been an upsurge of interest in the possibilities of combining structured data and ad-hoc information retrieval from traditional hypertext. In this experiment, we run queries extracted from a query log of a major search engine against the Semantic Web to discover if the Semantic Web has anything of interest to the average user. We show that there is indeed much information on the Semantic Web that could be relevant for many queries for people, places and even abstract concepts, although they are overwhelmingly clustered around a Semantic Web-enabled export of Wikipedia known as DBPedia.

REFERENCES

• 1: S. Auer, C. Bizer, J. Lehmann, G. Kobilarov, R. Cyganiak, and Z. Ives. DBpedia: A nucleus for a web of open data. In Proceedings of the International and Asian Semantic Web Conference (ISWC/ASWC2007)}, pages 718--728, Busan, Korea, 2007.
• 2: Gong Cheng , Weiyi Ge , Yuzhong Qu, Falcons: searching and browsing entities on the semantic web, Proceeding of the 17th international conference on World Wide Web, April 21-25, 2008, Beijing, China [doi>10.1145/1367497.1367676]
• 3: Aaron Clauset, C. Shalizi, and M. Newman. Power-law distributions in empirical data, 2007.
• 4: Li Ding and Tim Finin. Characterizing the Semantic Web on the Web. In Proceedings of the International Semantic Web Conference (ISWC), pages 242--257, 2006.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Search process

General Terms:
Experimentation, Measurement

Keywords:
information retrieval, linked data, search, semantic web