XRCJ: supporting keyword search in XML and relation co-occurrence

  • Authors:

  • Song Zhang;Xiaoyong Du

  • Affiliations:

  • Key Lab of Data Engineering and Knowledge Engineering, Ministry of Education, School of Information, Renmin University of China;Key Lab of Data Engineering and Knowledge Engineering, Ministry of Education, School of Information, Renmin University of China

  • Venue:
  • WAIM'10 Proceedings of the 2010 international conference on Web-age information management
  • Year:
  • 2010

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Abstract

Keyword search is a proven, user-friendly way to query html documents in the World Wide Web. With the trend of integrating IR technologies into DB community, state-of-the-art studies have introduced keyword search into XML and relation. In this paper we introduce keyword search into a new circumstance called XRC (XML and relation co-occurrence) where XML and relational data exist at the same storage. By exploring semantic relationships between data from relation and XML, we enable users who intend to visit data from XML and relation to access information in an easier manner. To achieve this target, we propose a novel operation called XRCJ which connects data from XML and relation together when answering search query. We also improve traditional inverted index and design a mixed inverted index. Through conducting extensive experiments on synthetic data from real data set DBLP, we find that our method can achieve a good performance in XML and relation cooccurrence circumstance.