Context-aware basic level concepts detection in folksonomies

Wen Hao Chen, Yi Cai, Ho Fung Leung, Qing Li

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

4 Citations (Scopus)


This paper deals with the problem of exploring implicit semantics in folksonomies. In folksonomies, users create and manage tags to annotate web resources. The collection of user-created tags in folksonomies is a potential semantics source. Much research has been done to extract concepts, and even concepts hierarchy (ontology), which is the important component for knowledge representation (e.g. in semantic web and agent communication), from folksonomies. However, there has been no metric for discovering human acceptable and agreeable concepts, and thus many concepts extracted from folksonomies by existing approaches are not natural for human use. In cognitive psychology, there is a family of concepts named basic level concepts which are frequently used by people in daily life, and most human knowledge is organized by basic level concepts. Thus, extracting basic level concepts from folksonomies is more meaningful for categorizing and organizing web resources than extracting concepts in other granularity. In addition, context plays an important role in basic level concepts detection, as the basic level concepts in the same domain become different in different contexts. In this paper, we propose a method to detect basic level concepts in different contexts from folksonomies. Using Open Directory Project (ODP) as the benchmark, we demonstrate the existence of context effect and the effectiveness of our method.

Original languageEnglish
Title of host publicationWeb-Age Information Management - 11th International Conference, WAIM 2010, Proceedings
Number of pages12
Publication statusPublished - 3 Aug 2010
Externally publishedYes
Event11th International Conference on Web-Age Information Management, WAIM 2010 - Jiuzhaigou, China
Duration: 15 Jul 201017 Jul 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6184 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference11th International Conference on Web-Age Information Management, WAIM 2010

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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