应用领域本体对歌曲进行分类

Nadia Lachtar
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引用次数: 2

摘要

如今,网络上可用的音乐资源呈指数级增长。在这个庞大的音乐资料库中,由于使用了索引技术,目前的音乐信息搜索和索引系统不允许用户返回与查询所表达的需求相对应的歌曲。为了提高音乐信息搜索的相关性,本文首先提出了一种基于领域本体对歌曲集合进行索引,并使用语义链接对所有相关歌曲进行推理的方法。此外,我们提出了一种查询细化算法来查找歌曲。这种方法在语义网背景下的阿尔及利亚歌曲领域进行了测试和验证。开发了一个web应用程序来按概念对歌曲进行索引,对歌曲进行概念搜索,并利用构成本体的概念/术语链接和语义关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Domain Ontology to Classify a Song
Nowadays, the musical resources available on the web increase exponentially. In this huge repository of musical data, current music information search and indexing systems do not allow users to return the songs that correspond to their needs expressed by a query due to the used indexing techniques. To improve the relevance of the music information search, we propose in this paper firstly an approach based on the use of domain ontology to index a collection of songs and the use of semantic links in order to allow the inference of all relevant songs. In addition, we propose a query refinement algorithm to find songs. This approach is tested and validated in the domain of Algerian songs in the context of the semantic web. A web application is developed to index the songs by concepts, perform a conceptual search of songs and exploit concepts / terms links and semantic relationships that structure the ontology.
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