Abstract
BackgroundOntology development, as an increasingly practical vehicle applied in various fields, plays a significant role in knowledge management. This paper, focusing on constructing and querying a hepatitis ontology, aims to provide a framework for ontology-based medical services. The paper is devoted to the algorithm of query expansion for the hepatitis ontology, including synonym expansion, hypernym/hyponym expansion and expansion of similar words. It applies semantic similarity calculation to judge the similarity of retrieval terms.ResultsThe paper proposes a new prototype system. The accuracy of query expansion is improved in both precision@40 and AP@40, which indicates that query expansion improves the accuracy of the query after using the method proposed in this paper.ConclusionsThe paper has adopted semantic similarity computing to improve retrieval performance. Experiments show that search precision of query expansion is higher based on domain concept relationship.
Highlights
Ontology development, as an increasingly practical vehicle applied in various fields, plays a significant role in knowledge management
An ontology primarily provides services for machines which do not understand the semantics of the natural human language, because the current computer can only deal with the text as a string
An ontology, as a machine-understandable, formally specified and shared representation of domain knowledge provides a description of meta-knowledge and is considered to be a powerful tool in knowledge management
Summary
As an increasingly practical vehicle applied in various fields, plays a significant role in knowledge management. Derived from the field of philosophy, an ontology is a explanatory or descriptive model of a system, which represents entities and relationships among entities in that model [1]. It refers to the semantic basis for the communication between subjects (human, machine, software, etc.) within a domain. An ontology primarily provides services for machines which do not understand the semantics of the natural human language, because the current computer can only deal with the text as a string. An ontology, as a machine-understandable, formally specified and shared representation of domain knowledge provides a description of meta-knowledge and is considered to be a powerful tool in knowledge management.
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