Description logic based knowledge representation for information extraction and query processing

被引:0
|
作者
Manjula, D [1 ]
Geetha, TV [1 ]
机构
[1] Anna Univ, Dept Comp Sci & Engn, Madras 600025, Tamil Nadu, India
关键词
information retrieval; information extraction; text mining; description logic;
D O I
10.1080/03772063.2004.11665535
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Keyword-based search engines provide poor recall due to the fact that they ignore specialization/generalization and synonym handling. They also exhibit low precision that is retrieval with large amount of irrelevant information. This is due to the fact that the knowledge representation of the document is not well established. This work attempts to capture effectively the knowledge of the document using knowledge representation formalism Description Logic (DL) and represents the concepts as a DL hierarchy. The greatest advantage of representing knowledge in DL is that the system is now able to handle inconsistency and incompleteness present in the user queries. This is useful to the naive user who is unfamiliar in framing structured queries. Finally the performance of the proposed system is evaluated with that of content word based retrieval based on the performance metrics precision and recall.
引用
收藏
页码:437 / 441
页数:5
相关论文
共 50 条
  • [31] Ontology Based Ocean Knowledge Representation for Semantic Information Retrieval
    Velu, Anitha
    Thangavelu, Menakadevi
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 70 (03): : 4707 - 4724
  • [32] Query Representation through Lexical Association for Information Retrieval
    Goyal, Pawan
    Behera, Laxmidhar
    McGinnity, Thomas Martin
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2012, 24 (12) : 2260 - 2273
  • [33] Interest Propagation for Knowledge Extraction and Representation
    Mulas, Francesca
    Del Fabbro, Elisa
    Zupan, Blaz
    Bellazzi, Riccardo
    DATA AND KNOWLEDGE FOR MEDICAL DECISION SUPPORT, 2013, 186 : 182 - 186
  • [34] Enhanced Pattern Representation in Information Extraction
    廖乐健
    曹元大
    张映波
    Journal of Beijing Institute of Technology(English Edition), 2004, (02) : 143 - 147
  • [35] Ontology-based Information Extraction for Knowledge Enrichment and Validation
    Fudholi, Dhomas Hatta
    Rahayu, Wenny
    Pardede, Eric
    IEEE 30TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS IEEE AINA 2016, 2016, : 1116 - 1123
  • [36] ACQUISITION OF LINGUISTIC PATTERNS FOR KNOWLEDGE-BASED INFORMATION EXTRACTION
    KIM, JT
    MOLDOVAN, DI
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 1995, 7 (05) : 713 - 724
  • [37] A Semantic Knowledge-Based Framework for Information Extraction and Exploration
    Aljamel, Abduladem
    Osman, Taha
    Thakker, Dhavalkumar
    INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEM TECHNOLOGY, 2021, 13 (02) : 85 - 109
  • [38] Dipe-D: A tool for knowledge-based query formulation in information retrieval
    Van der Pol, R
    INFORMATION RETRIEVAL, 2003, 6 (01): : 21 - 47
  • [39] Information extraction for personalised services based on conference alerts
    Korde, Vandana
    INTERNATIONAL JOURNAL OF DATA MINING MODELLING AND MANAGEMENT, 2016, 8 (01) : 93 - 105
  • [40] Dipe-D: A Tool for Knowledge-Based Query Formulation in Information Retrieval
    Ruud van der Pol
    Information Retrieval, 2003, 6 : 21 - 47