Unsupervised Web-based Automatic Annotation

被引:1
作者
Millan, Miquel [1 ]
Sanchez, David [1 ]
Moreno, Antonio [1 ]
机构
[1] Univ Rovira & Virgili, ITAKA Res Grp, Tarragona 43007, Spain
来源
STAIRS 2008 | 2008年 / 179卷
关键词
Semantic web; automatic annotation; ontologies;
D O I
10.3233/978-1-58603-893-9-118
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The success of the Semantic Web depends both on the definition of ontologies used to represent the knowledge as on the annotations performed of the web contents. As manual approaches have low scalability, there is a need of tools capable to generate all this knowledge in an automatic and reliable way. In this paper is presented a complete algorithm to annotate web contents in an automatic and unsupervised manner. It is structured in a three-stepped procedure, based on the usage of several concept similarity measures and linguistic patterns. It is able to detect the entities to annotate, the candidate classes of these entities and, finally, associate them with the classes of an ontology. Sonic prospective results are presented.
引用
收藏
页码:118 / 129
页数:12
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