Semantic Retrieval Research Based on Ontology
Zhigang Zhang
Abstract
Zhigang Zhang
Abstract
The rapid growth and diversities of Web information bring a lot of difficulties to efficient information retrieval.The current information retrieval tools just offer-based searching,but ignore the semantic content of the keyword itself.The authors' library information retrieval system takes advantage of ontology,which expands the requirements of users to a semantic word set,and provides a document analyzer to filter the Web pages returned by the search agent according to a certain algorithm.Consequently it presents the most relavant documents to the users.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The rapid growth and diversities of Web information bring a lot of difficulties to efficient information retrieval.The current information retrieval tools just offer-based searching,but ignore the semantic content of the keyword itself.The authors' library information retrieval system takes advantage of ontology,which expands the requirements of users to a semantic word set,and provides a document analyzer to filter the Web pages returned by the search agent according to a certain algorithm.Consequently it presents the most relavant documents to the users.
Key concepts: Computer science, Information retrieval, Ontology, Semantic Web, Human–computer information retrieval, Semantic Web Stack, Semantic search, Set (abstract data type)