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Concept-based term weighting for web information retrieval

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : Concept-based term weighting for web information retrieval
นักวิจัย : Zakos, John. , Verma, Brijesh.
คำค้น : Information storage and retrieval systems. , 700102 Application tools and system utilities. , 280103 Information Storage, Retrieval and Management , 280212 Neural Networks, Genetic Alogrithms and Fuzzy Logic , Ontologies (Information retrieval) , Text processing (Computer science) , 890202 Application Tools and System Utilities. , 8902 Computer Software and Services. , 89 Information and Communication Services. , 150301 Business Information Management (incl. Records, Knowledge and Information Management, and Intelligence) , 1503 Business and Management. , 15 Commerce, Management, Tourism and Services. , 080108 Neural, Evolutionary and Fuzzy Computation. , 0801 Artificial Intelligence and Image Processing. , 08 Information and Computing Sciences. , Concept based retrieval -- Information retrieval -- Web retrieval.
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2549
อ้างอิง : http://dx.doi.org/10.1142/S1469026806001915 , http://hdl.cqu.edu.au/10018/7435
ที่มา : Zakos, J & Verma, B 2006, 'Concept Based Term Weighting for Web Information Retrieval', International Journal of Computational Intelligence and Applications, vol. 6 no. 2, pp. 193-207. http://dx.doi.org/10.1142/S1469026806001915
ความเชี่ยวชาญ : -
ความสัมพันธ์ : International journal of computational intelligence and applications. Singapore : World Scientific Publishing, 2006. Vol. 6, no. 2 (June 2006), p. 193-207 15 pages Refereed 1469-0268 , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

In this paper we present a novel technique for determining term importance by exploiting concept based information found in ontologies. Calculating term importance is a significant and fundamental aspect of most information retrieval approaches and it is traditionally determined through inverse document frequency (IDF). We propose concept-based term weighting (CBW), a technique that is fundamentally different to IDF in that it calculates term importance by intuitively interpreting the conceptual information in ontologies. We show that when CBW is used in an approach for web information retrieval on benchmark data, it performs comparatively to IDF, with only a 3.5% degradation in retrieval accuracy. While this small degradation has been observed the significance of this technique is that 1) unlike IDF, CBW is independent of document collection statistics, 2) it presents a new way of interpreting ontologies for retrieval, and 3) it introduces an additional source of term importance information that can be used for term weighting.

บรรณานุกรม :
Zakos, John. , Verma, Brijesh. . (2549). Concept-based term weighting for web information retrieval.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Zakos, John. , Verma, Brijesh. . 2549. "Concept-based term weighting for web information retrieval".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Zakos, John. , Verma, Brijesh. . "Concept-based term weighting for web information retrieval."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2549. Print.
Zakos, John. , Verma, Brijesh. . Concept-based term weighting for web information retrieval. กรุงเทพมหานคร : Central Queensland University, Australia; 2549.