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Volumn 5227 LNAI, Issue , 2008, Pages 840-847

A topic-specific web crawler with concept similarity context graph based on FCA

Author keywords

Formal concept analysis; Search engine; Topic specific spider

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; GRAPH THEORY; INFORMATION MANAGEMENT; INFORMATION THEORY; SEARCH ENGINES;

EID: 53049099589     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85984-0_101     Document Type: Conference Paper
Times cited : (23)

References (10)
  • 2
    • 0033294474 scopus 로고    scopus 로고
    • Chakrabarti, S., Berg, M., Dom, B.: Focused Crawling: a New Approach to Topicspecific Web Resource Discovery. Comput. Networks 3.1,1623-1640 (1999)
    • Chakrabarti, S., Berg, M., Dom, B.: Focused Crawling: a New Approach to Topicspecific Web Resource Discovery. Comput. Networks 3.1,1623-1640 (1999)
  • 3
    • 33344468277 scopus 로고    scopus 로고
    • Topic-specific Crawling on the Web with the Measurements of the Relevancy Context Graph
    • Ching-Chi, H., Fan, W.: Topic-specific Crawling on the Web with the Measurements of the Relevancy Context Graph. Information Systems 31, 232-246 (2006)
    • (2006) Information Systems , vol.31 , pp. 232-246
    • Ching-Chi, H.1    Fan, W.2
  • 4
    • 34247554154 scopus 로고    scopus 로고
    • Combining Text and Link Analysis for Focused Crawling-An Application for Vertical Search Engines
    • Almpanidis, G., Kotropoulos, C., Pitas, I.: Combining Text and Link Analysis for Focused Crawling-An Application for Vertical Search Engines. Information Systems 32, 886-908 (2007)
    • (2007) Information Systems , vol.32 , pp. 886-908
    • Almpanidis, G.1    Kotropoulos, C.2    Pitas, I.3
  • 8
    • 33745401429 scopus 로고    scopus 로고
    • Ontology-based Concept Similarity in Formal Concept Analysis
    • Anna, F.: Ontology-based Concept Similarity in Formal Concept Analysis. Information Sciences 176, 2624-2641 (2006)
    • (2006) Information Sciences , vol.176 , pp. 2624-2641
    • Anna, F.1
  • 9
    • 0042850512 scopus 로고    scopus 로고
    • An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
    • Li, Y., Bandar, Z.A., McLean, D.: An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources. On Knowledge and Data Engineering 15, 871-882 (2003)
    • (2003) On Knowledge and Data Engineering , vol.15 , pp. 871-882
    • Li, Y.1    Bandar, Z.A.2    McLean, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.