论文标题
des des Boologies pour le calcul de la laesémantiqueau sein d'ununsystèmede推荐
Apport des ontologies pour le calcul de la similarité sémantique au sein d'un système de recommandation
论文作者
论文摘要
术语，单词或文本数据之间的语义相关性或相似性的测量在处理文本数据的不同应用中起重要作用，例如知识获取，推荐系统和自然语言处理。在过去的几年中，许多本体论已开发并用作信息系统知识库的结构化表示形式。来自本体论的语义相似性的计算已经开发并取决于上下文，其他相似性计算方法补充。在本文中，我们提出并采用一种方法来计算推荐系统的基于本体的语义相似性。
Measurement of the semantic relatedness or likeness between terms, words, or text data plays an important role in different applications dealing with textual data such as knowledge acquisition, recommender system, and natural language processing. Over the past few years, many ontologies have been developed and used as a form of structured representation of knowledge bases for information systems. The calculation of semantic similarity from ontology has developed and depending on the context is complemented by other similarity calculation methods. In this paper, we propose and carry on an approach for the calculation of ontology-based semantic similarity using in the context of a recommender system.
