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Semantic relation based personalized ranking approach for engineering document retrieval

机译：基于语义关系的工程文档检索个性化排序方法

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摘要

Since engineering design is heavily informational, engineers want to retrieve existing engineering documents accurately during the product development process. However, engineers have difficulties searching for documents because of low retrieval accuracy. One of the reasons for this is the limitation of existing document ranking approaches, in which relationships between terms in documents are not considered to assess the relevance of the retrieved documents. Therefore, we propose a new ranking approach that provides more correct evaluation of document relevance to a given query. Our approach exploits domain ontology to consider relationships among terms in the relevance scoring process. Based on domain ontology, the semantics of a document are represented by a graph (called Document Semantic Network) and, then, proposed relation-based weighting schemes are used to evaluate the graph to calculate the document relevance score. In our ranking approach, user interests and searching intent are also considered in order to provide personalized services. The experimental results show that the proposed approach outperforms existing ranking approaches. A precisely represented semantics of a document as a graph and multiple relation-based weighting schemes are important factors underlying the notable improvement.
机译：由于工程设计的信息量很大，因此工程师希望在产品开发过程中准确地检索现有的工程文档。但是，由于检索精度低，工程师难以搜索文档。造成这种情况的原因之一是现有文档排名方法的局限性，在这种方法中，不考虑文档中各个词之间的关系来评估检索到的文档的相关性。因此，我们提出了一种新的排名方法，该方法可以对与给定查询的文档相关性提供更正确的评估。我们的方法利用领域本体来考虑相关性评分过程中术语之间的关系。基于领域本体，文档的语义由图形表示（称为文档语义网络），然后，使用提出的基于关系的加权方案来评估图形以计算文档相关性得分。在我们的排名方法中，为了提供个性化服务，还考虑了用户兴趣和搜索意图。实验结果表明，所提出的方法优于现有的排序方法。精确表示为图形的文档语义以及基于多个关系的加权方案是显着改进的重要因素。

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