Automatic Building of an Ontology from a Corpus of Text Documents Using Data Mining Tools

被引:0
作者
Toledo-Alvarado, J. I. [1 ]
Guzman-Arenas, A. [1 ]
Martinez-Luna, G. L. [1 ]
机构
[1] Inst Politecn Nacl, CIC, Mexico City 07738, DF, Mexico
关键词
Ontology learning; Data Mining; Machine Learning; Apriori algorithm;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper we show a procedure to build automatically an ontology from a corpus of text documents without external help such as dictionaries or thesauri. The method proposed finds relevant concepts in the form of multi-words in the corpus and non-hierarchical relations between them in an unsupervised manner.
引用
收藏
页码:398 / 404
页数:7
相关论文
共 16 条
  • [1] Agrawal R., 1994, P 20 INT C VER LARG, P487, DOI DOI 10.5555/645920.672836
  • [2] Alfredo Victoria Barbosa Jose, 2009, REV DIGITAL U, V10
  • [3] [Anonymous], 1992, COLING 1992, DOI DOI 10.3115/992133.992154
  • [4] [Anonymous], 2008, Introduction to information retrieval
  • [5] Buitelaar P, 2004, LECT NOTES COMPUT SC, V3053, P31
  • [6] Buitelaar P., 2005, Ontologies and Lexical Resources: IJCNLP-05 Workshop, P1
  • [7] Christopher D., 1999, Manning and Hinrich Schuetze. Foundations of Statistical Natural Language Processing
  • [8] Learning concept hierarchies from text corpora using formal concept analysis
    Cimiano, P
    Hotho, A
    Staab, S
    [J]. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2005, 24 (24) : 305 - 339
  • [9] Cimiano P., 2006, INFORM WISSENSCHAFT, V57, P315
  • [10] Faure D., 1999, Knowledge Acquisition, Modeling and Management. 11th European Workshop, EKAW'99. Proceedings, P329