Analysis of a Vector Space Model, Latent Semantic Indexing and Formal Concept Analysis for Information Retrieval

被引：0
|
作者：
Kumar, Ch Aswani [1 ]
Radvansky, M. [2 ]
Annapurna, J. [3 ]
机构：
[1] VIT Univ, Sch Informat Technol & Engn, Vellore, Tamil Nadu, India
[2] VSB Tech Univ Ostrava, Ostrava, Czech Republic
[3] VIT Univ, Sch Comp Sci & Engn, Vellore, Tamil Nadu, India
来源：
CYBERNETICS AND INFORMATION TECHNOLOGIES | 2012年 / 12卷 / 01期
关键词：
Formal concept analysis; Information Retrieval; latent semantic indexing; vector space model;
D O I：
10.2478/cait-2012-0003
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Latent Semantic Indexing (LSI), a variant of classical Vector Space Model (VSM), is an Information Retrieval (IR) model that attempts to capture the latent semantic relationship between the data items. Mathematical lattices, under the framework of Formal Concept Analysis (FCA), represent conceptual hierarchies in data and retrieve the information. However, both LSI and FCA use the data represented in the form of matrices. The objective of this paper is to systematically analyze VSM, LSI and FCA for the task of IR using standard and real life datasets.
引用
收藏
页码：34 / 48
页数：15
相关论文
共 50 条
  • [1] Analysis and development of latent semantic indexing techniques for information retrieval
    Bottello, M.
    Data Mining VII: Data, Text and Web Mining and Their Business Applications, 2006, 37 : 193 - 202
  • [2] COMPARING AND COMBINING THE EFFECTIVENESS OF LATENT SEMANTIC INDEXING AND THE ORDINARY VECTOR-SPACE MODEL FOR INFORMATION-RETRIEVAL
    LOCHBAUM, KE
    STREETER, LA
    INFORMATION PROCESSING & MANAGEMENT, 1989, 25 (06) : 665 - 676
  • [3] Latent Semantic Indexing using eigenvalue analysis for efficient information retrieval
    School of Computing Sciences, Vellore Institute of Technology, Deemed University, Vellore - 632014, India
    不详
    Int. J. Appl. Math. Comput. Sci., 2006, 4 (551-558):
  • [4] Downdating the latent semantic indexing model for conceptual information retrieval
    Witter, Dian I.
    Berry, Michael W.
    Computer Journal, 41 (08): : 589 - 601
  • [5] Downdating the latent semantic indexing model for conceptual information retrieval
    Witter, DI
    Berry, MW
    COMPUTER JOURNAL, 1998, 41 (08): : 589 - 601
  • [6] A probabilistic model for latent semantic indexing in information retrieval and filtering
    Ding, CHQ
    COMPUTATIONAL INFORMATION RETRIEVAL, 2001, : 65 - 73
  • [7] Comparison Probabilistic Latent Semantic Indexing Model In Chinese Information Retrieval
    Xie Fang
    Liu Xiaoguang
    Hu Quan
    2009 INTERNATIONAL FORUM ON INFORMATION TECHNOLOGY AND APPLICATIONS, VOL 3, PROCEEDINGS, 2009, : 559 - +
  • [8] A neural network model for information retrieval using latent semantic indexing
    Syu, I
    Lang, SD
    Deo, N
    ICNN - 1996 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS. 1-4, 1996, : 1318 - 1323
  • [9] An Information Retrieval Model Based on Latent Semantic Indexing with Intelligent Preprocessing
    Kumar, Ch.
    Gupta, Ankush
    Batool, Mahmooda
    Trehan, Shagun
    JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT, 2005, 4 (04) : 279 - 285
  • [10] A subspace-based model for latent semantic indexing in information retrieval
    Zha, HY
    Simon, H
    DIMENSION REDUCTION, COMPUTATIONAL COMPLEXITY AND INFORMATION, 1998, 30 : 315 - 320
12345