Semantic Service Retrieval based on Natural Language Querying and Semantic Similarity

被引：1
|
作者：
de Castilho, Richard Eckart [1 ]
Gurevych, Iryna [1 ]
机构：
[1] Tech Univ Darmstadt, UKP Lab, Darmstadt, Germany
来源：
FIFTH IEEE INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2011) | 2011年
关键词：
D O I：
10.1109/ICSC.2011.44
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we address the task of semantic service retrieval based on natural language queries. We analyze identifiers of services, operations, and parameters extracted from WSDL service descriptions with respect to their semantic content. In order to measure the semantic similarity between query and service description, we introduce a novel computationally efficient document similarity measure based on information content and fuzzy set theory.
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页码：173 / 176
页数：4
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