Cognitive location-aware information retrieval by agent-based semantic matching

Eddie C.L. Chan, George Baciu, S. C. Mak

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)


Agents operating in both wired and wireless networks find and retrieve location-aware information. Agents in our system are required to endow with the full range of cognitive abilities, including perception, use of natural language, learning and the ability to understand the user query. The speed and accuracy of retrieval and the usefulness of the retrieved data depends on a number of factors including constant or frequent changes in its content or status, the effects of environmental factors such as the weather and traffic and the techniques that are used to categorize the relevance of the retrieved data. In this paper, we propose semantic TFIDF, an agent-based system for retrieving location-aware information that can improves the speed of retrieval while maintaining or even improving the accuracy by making use of semantic information in the data to develop smaller training sets. In our method, intelligent agents first gather location-aware data and then, using semantic graphs in the Word Net English dictionary, they classify, match and organize the information to find a best match for a user query. Our experiments compared our proposed system with three other commonly used systems and showed it to be significantly faster and more accurate.
Original languageEnglish
Title of host publicationProceedings of the 2009 8th IEEE International Conference on Cognitive Informatics, ICCI 2009
Number of pages6
Publication statusPublished - 17 Nov 2009
Event2009 8th IEEE International Conference on Cognitive Informatics, ICCI 2009 - Kowloon, Hong Kong, Hong Kong
Duration: 15 Jun 200917 Jun 2009


Conference2009 8th IEEE International Conference on Cognitive Informatics, ICCI 2009
Country/TerritoryHong Kong
CityKowloon, Hong Kong


  • Agent
  • Information retreival
  • Locationawar
  • Semantic

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Software

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