Engineering ontologies for question answering

被引：4

作者：

Teitsma, Marten ^{[1
]}

Sandberg, Jacobijn ^{[2
]}

Schreiber, Guus ^{[3
]}

Wielinga, Bob ^{[3
]}

van Hage, Willem Robert ^{[3
]}

机构：

[1] Amsterdam Univ Appl Sci, Amsterdam, Netherlands

[2] Univ Amsterdam, Amsterdam, Netherlands

[3] Vrije Univ Amsterdam, Amsterdam, Netherlands

来源：

APPLIED ONTOLOGY | 2014年 / 9卷 / 01期

关键词：

Basic-level ontology; automatic ontology generation; ontology metrics; prototype theory; BASIC-LEVEL; SEMANTIC SIMILARITY; CATEGORIES;

D O I：

10.3233/AO-140130

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Using an ontology to automatically generate questions for ordinary people requires a structure and concepts compliant with human thought. Here we present methods to develop a pragmatic, expert-based and a basic-level ontology and a framework to evaluate these ontologies. Comparing these ontologies shows that expert-based ontologies are most easy to construct but lack required cognitive semantic characteristics. Basic-level ontologies have structure and concepts which are better in terms of cognitive semantics but are most expensive to construct.

引用

页码：1 / 25

页数：25

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