The XCDC Relations as a Spatio-Temporal Ontology

被引：0
|
作者：
Osinski, Jedrzej [1 ]
机构：
[1] Adam Mickiewicz Univ, Fac Math & Comp Sci, Poznan, Poland
来源：
HUMAN LANGUAGE TECHNOLOGY CHALLENGES FOR COMPUTER SCIENCE AND LINGUISTICS | 2014年 / 8387卷
关键词：
Natural language processing; XCDC; Qualitative knowledge; CARDINAL DIRECTION RELATIONS;
D O I：
10.1007/978-3-319-08958-4_9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Qualitative techniques are important in artificial intelligence. The extended CDC (XCDC) formalism can be successfully used for representation and reasoning about the spatio-temporal aspects of complex events. The model was implemented and tested in the POLINT-112-SMS system providing assistance to the security staff during a large-scale event involving a large number of participants. In this paper we present the process of the construction of the set of spatio-temporal relations expressed in the XCDC model which are conceptualized in a natural language. We also discuss the properties of this collection and show how these relations can be simply combined and partially ordered to get an ontology-like structure.
引用
收藏
页码：104 / 115
页数：12
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