|
|
Ontoloy Relationship Extraction Research Based on HowNet and Term Relevancy Degree |
Fu Jibin1 Liu Jie2 Jia Keliang3 Mao Jintao1 |
1(School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China)
2 (School of Information Engineering, Capital Normal University, Beijing 100037, China)
3 (School of Information Management, Shandong Economic University, Jinan 250014, China) |
|
|
Abstract The paper proposes a relationship extraction method based on HowNet and term relevancy degree. Firstly syntax parsing tools are used to extract context feature of terms, and natural language feature and statistical mutual information measure are integrated to compute relevancy degree of terms,then dynamic role and sememe are used as key to seek the relationship in HowNet semantic relationship framework, and explicit semantic lable is designated to the relationship. Experimental results show that the approach is effective.
|
Received: 19 June 2008
Published: 25 September 2008
|
|
Corresponding Authors:
Fu Jibin
E-mail: fujibin@gmail.com
|
About author:: Fu Jibin,Liu Jie,Jia Keliang,Mao Jintao |
[1] Pantel P, Lin D. A Statistical Corpus-based Term Extractor[C]. In: Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence, Ottawa,2001:36-46.
[2] Harris Z. Mathematical Structures of Language[M]. Wiley,1968.
[3] Lee L. Measures of Distributional Similarity[C]. In: Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics(ACL),Maryland USA, 1999:25-32.
[4] 董振东,董强. KDML — 知网知识系统描述语言[EB/OL].[2006-06-25]. http://www.keenage.com/html/e_index.html.
[5] Hearst M A. Automatic Acquisition of Hyponyms from Large Text Corpora[C]. In: Proceedings of the 14th International Conference on Computational Linguistics(COLING), Nantes France,1992:539-545.
[6] Cimiano P, Hotho A, Staab S. Learning Concept Hierarchies from Text Corpora Using Formal Concept Analysis[J]. Journal of Artificial Intelligence Research(JAIR), 2005(24):305-339.
[7] Yamaguchi T. Acquiring Conceptual Relationships from Domain-specific Texts[C]. In: Proceedings of the IJCAI Workshop on Ontology Learning, Seatle USA. 2001.
[8] Heyer G, Lauter M, Quasthoff U,et al. Learning Relations using Collocations[C]. In: Proceeding of the IJCAI Workshop on Ontology Learning, Seatle USA. 2001:19-24.
[9] Ciaramita M, Gangemi A, Ratsch E, et al. Unsupervised Learning of Semantic Relationships between Concepts of A Molecular Biology Ontology[C]. In: Proceedings of the 19th International Joint Conference on Artificial Intelligence(IJCAI), Edinburgh, Scotland UK, 2005: 659-664.
[10] Schutz A, Buitelaar P. RelExt: A Tool for Relation Extraction from Text in Ontology Extension[C]. In: Proceedings of the International Semantic Web Conference, Galway Ireland 2005:593-606. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|