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SEMANTIC INFORMATION EXTRACTION APPROACH FOR E-COMMERCE SEARCH ENGINE BASED ON GOODRELATIONS ONTOLOGY

机译:基于良好关系本体的电子商务搜索引擎语义信息提取方法

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摘要

Internet for e-commerce is the main source of information, this information is not directly exploitable by computers, hence many methods and approaches to extract this information, in order to use them. Search engines [1] use these methods or approaches to extract and index the information contained in the web pages. Users use search engines to find useful information about the products they need, which shows the importance of search engines and having to equip them with good extraction methods to respond more accurately and in a relevant way to the need of users. Most of these search engines are based on keywords [2] to extract and index data from web pages, which explains the quality of the search results [3] of these engines which often return results that does not match the search performed, the result is not always relevant, hence the approach proposed in this article, it is a new approach that consists of linking the CSS incorporated on the e-commerce web page and GOODRELATIONS ontology used to index these web pages by means of a database, and from these CSS classes, generate a Wrapper to extract all the information about the products, which allow us to know the attribute of each product, it corresponds to which attribute of the ontology, i.e. its semantics, this will improve the relevance of the results of the research and respond more precisely to the need of the user.
机译:电子商务的互联网是信息的主要来源,计算机无法直接利用此信息,因此有许多方法和方法可以提取此信息以进行使用。搜索引擎[1]使用这些方法或方法来提取和索引网页中包含的信息。用户使用搜索引擎查找有关他们所需产品的有用信息,这表明了搜索引擎的重要性,并且必须为它们配备良好的提取方法,以更准确地以相关方式响应用户的需求。这些搜索引擎大多数基于关键字[2]从网页中提取数据并建立索引,这说明了这些搜索结果的质量[3],这些搜索引擎通常会返回与执行的搜索不匹配的结果,结果是并不总是相关的,因此本文提出的方法是一种新方法,包括链接电子商务网页中包含的CSS和用于通过数据库从这些CSS索引这些网页的GOODRELATIONS本体类,生成包装器以提取有关产品的所有信息,这使我们能够了解每种产品的属性,它对应于本体的哪个属性,即其语义,这将改善研究结果的相关性,并更准确地响应用户的需求。

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