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Semantics Oriented Web Searching

초록

영어

Current Web search can’t fully satisfy users’ requirements. This is also due to the fact that it is term based rather than concept based or even object oriented. It is studied here, how to extend a search function semantically in order to improve its functionality and performance. It’s proved that semantics oriented Web searching is a good solution to enable concept/object oriented Web search, faceting search, as well as associate and relationship search. The knowledge supporting for semantics extension is proposed and a corresponding ontology solution is designed. At last, a case study named SmartSearch, launched at ECNU-ICA since 2011, is presented. The case study shows that semantics oriented Web search is powerful and that the search results will be efficiently improved with a semantic extension.

목차

Abstract
 1. Introduction-Web Searching
 2. Semantics Oriented Web Search
 3. Smart Search Engine
  3.1. Knowledge Base
  3.2. Ontology System
 4. SmartSearch-A Case Study
  4.1. Hadoop and MapReduce
  4.2. Nutch and Solr
  4.3. Other Interfaces
  4.4. Query Semantics Extension Module and Knowledge Support System
  4.5. The Search Algorithm
  4.6. A Search Sample
 5. Conclusion
 References

저자정보

  • Junzhong G Institute of Computer Application (ICA), East China Normal University

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