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Formal Concept Analysis Supporting Ontology Learning From Database

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成果类型:
期刊论文
作者:
Chunping Ouyang;Yongbin Liu
通讯作者:
Ouyang, C.
作者机构:
[Ouyang C.] School of Computer Science and Technology, University of South China, Hengyang, 421001, China
[Liu Y.] Department of Information Science and Technology, Tianjin University of Finance and Economics, Tianjin, 300222, China
通讯机构:
[Ouyang, C.] S
School of Computer Science and Technology, , Hengyang, 421001, China
语种:
英文
关键词:
Formal concept analysis;Ontology learning;Relational database
期刊:
Advanced Science Letters
ISSN:
1936-6612
年:
2012
卷:
7
期:
1
页码:
473-477
机构署名:
本校为第一且通讯机构
院系归属:
计算机科学与技术学院
摘要:
Ontology learning is a process, which extracts semantic information from the existing data model and generates ontology using a set of predefined mapping rules. Relational database is the main model of data access and management, and extracting ontology from relational database is one of the research hotspots in ontology engineering field. This paper presents a proposal that aims to cover some tasks required in the ontology learning from relational database. Two tasks in this proposal are: relations abstraction between data table and semantics ...

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