A FRAMEWORK FOR STRUCTURED KNOWLEDGE EXTRACTION AND REPRESENTATION FROM NATURAL LANGUAGE THROUGH DEEP SENTENCE ANALYSIS

被引：0
|
作者：
Costantini, Stefania [1 ]
Florio, Niva [1 ]
Paolucci, Alessio [1 ]
机构：
[1] Univ Aquila, Dip Informat, Via Vetoio 1, Laquila, Italy
来源：
KDIR 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL | 2011年
关键词：
NLP; Reasoning; ASP; OOLOT; Semantic web; Deep analysis;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present a framework that allow to extract knowledge from natural language sentences using a deep analysis technique based on linguistic dependencies. The extracted knowledge is represented in OOLOT, an intermediate format inspired by the Language of Thought (LOT) and based on Answer Set Programming (ASP). OOLOT uses ontology oriented lexicon and syntax. Finally, it is possible to export the knowledge in OWL and native ASP.
引用
收藏
页码：282 / 287
页数：6
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