Ontology based document enrichment in bioinformatics

被引:3
|
作者
Stevens, R [1 ]
机构
[1] Univ Manchester, Dept Comp Sci, Manchester M13 9PL, Lancs, England
来源
COMPARATIVE AND FUNCTIONAL GENOMICS | 2002年 / 3卷 / 01期
关键词
ontology; controlled vocabulary; annotation; document enrichment;
D O I
10.1002/cfg.141
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Controlled vocabularies are common within bioinformatics resources. They can be used to give a summary of the knowledge held about a particular entity. They are also used to constrain values given for particular attributes of an entity. This helps create a shared understanding of a domain and aids increased precision and recall during querying of resources. Ontologies can also provide such facilities, but can also enhance their utility. Controlled vocabularies are often simply lists of words, but may be viewed as a kind of ontology. Ideally ontologies are structurally enriched with relationships between terms within the vocabulary. Use of such rich forms of vocabularies in database annotation could enhance those resources usability by both humans and computers. The representation of the knowledge content of biological resources in a computationally accessible form opens the prospect of greater support for a biologist investigating new data. Copyright (C) 2002 John Wiley Sons, Ltd.
引用
收藏
页码:42 / 46
页数:5
相关论文
共 50 条
  • [41] Ontology based document annotation: Trends and open research problems
    Corcho, Oscar
    International Journal of Metadata, Semantics and Ontologies, 2006, 1 (01) : 47 - 57
  • [42] Fuzzy Ontology for Distributed Document Clustering based on Genetic Algorithm
    Thangamani, M.
    Thangaraj, P.
    APPLIED MATHEMATICS & INFORMATION SCIENCES, 2013, 7 (04): : 1563 - 1574
  • [43] Biomedical Document Clustering Using Ontology based Concept Weight
    Logeswari, S.
    Premalatha, K.
    2013 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS, 2013,
  • [44] A Document Recommendation System Based on Collaborative Filtering and Personal Ontology
    Chen, Deng-Neng
    Chiang, Yao-Chun
    INFORMATION SYSTEMS IN THE CHANGING ERA: THEORY AND PRACTICE, 2009, : 255 - 262
  • [45] Ontology-based Document Spanning Systems for Information Extraction
    Lembo, Domenico
    Scafoglieri, Federico Maria
    INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING, 2020, 14 (01) : 3 - 26
  • [46] Study of ontology or thesaurus based document clustering and information retrieval
    Bharathi, G.
    Venkatesan, D.
    Journal of Theoretical and Applied Information Technology, 2012, 40 (01) : 55 - 61
  • [47] An effective methodology for validating XML document semantic based on ontology
    Li, Taoshen
    Han, Ting
    2005 International Symposium on Computer Science and Technology, Proceedings, 2005, : 276 - 282
  • [48] Ontology-Based Document Profile for Vulnerability Relevancy Analysis
    Wita, Ratsameetip
    Jiamnapanon, Nattanatch
    Teng-Amnuay, Yunyong
    SELECTED TOPICS IN APPLIED COMPUTER SCIENCE, 2010, : 210 - +
  • [49] Dynamic Ontology Management for Bioinformatics Domain
    Shah, Abad Ali
    Maqbool, Fatima
    Khan, Muhammad Usman Ghani
    2013 INTERNATIONAL CONFERENCE ON OPEN SOURCE SYSTEMS AND TECHNOLOGIES (ICOSST), 2013, : 1 - 7
  • [50] Ensemble of classifiers for ontology enrichment
    Semenova, A. V.
    Kureichik, V. M.
    INTERNATIONAL CONFERENCE INFORMATION TECHNOLOGIES IN BUSINESS AND INDUSTRY 2018, PTS 1-4, 2018, 1015