Inductive concept retrieval and query answering with semantic knowledge bases through kernel methods

被引：0

作者：

Fanizzi, Nicola ^{[1
]}

d'Amato, Claudia ^{[1
]}

机构：

[1] Univ Bari, Dipartimento Informat, Campus Univ,Via Orabona 4, I-70125 Bari, Italy

来源：

KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS: KES 2007 - WIRN 2007, PT I, PROCEEDINGS | 2007年 / 4692卷

关键词：

inductive concept retrieval; query answering; Kernel methods; Kernel function; description logics; semantic web;

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：

This work deals with the application of kernel methods to structured relational settings such as semantic knowledge bases expressed in Description Logics. Our method integrates a novel kernel function for the ALC logic in a support vector machine that could be set up to work with these representations. In particular, we present experiments where our method is applied to the tasks of concept retrieval and query answering on existing ontologies.

引用

页码：148 / +

页数：2

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