ENTERPRISE DOMAIN ONTOLOGY LEARNING FROM WEB-BASED CORPUS

被引：0

作者：

Vasilateanu, Andrei ^{[1
]}

Goga, Nicolae ^{[1
]}

Tanase, Elena-Alice ^{[1
]}

Marin, Iuliana ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Dept Engn Foreign Languages, Bucharest, Romania

来源：

2015 6TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT) | 2015年

关键词：

knowledge engineering; semantic web; data mining;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Enterprise knowledge is a key asset in the competing and fast-changing corporate landscape. The ability to learn, store and distribute implicit and explicit knowledge can be the difference between success and failure. While enterprise knowledge management is a well-defined research domain, current implementations lack orientation towards small and medium enterprise. We propose a semantic search engine for relevant documents in an enterprise, based on automatic generated domain ontologies. In this paper we focus on the component for ontology learning and population.

引用

页码：112 / 117

页数：6

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