Upgrade of a current research information system with ontologically supported semantic search engine

作者：

Highlights：

• We propose a new ontologically supported semantic search engine (OSSSE).

• OSSSE provides efficient access to relevant information in heterogeneous environments.

• Model harmonizes data for systems with different content, contextual and semantic concepts.

• OSSSE is based on semantic infrastructure with supporting ontology.

• Results show significant improvement over existing non-semantic search engine.

摘要

•We propose a new ontologically supported semantic search engine (OSSSE).•OSSSE provides efficient access to relevant information in heterogeneous environments.•Model harmonizes data for systems with different content, contextual and semantic concepts.•OSSSE is based on semantic infrastructure with supporting ontology.•Results show significant improvement over existing non-semantic search engine.

论文关键词：Current research information systems,Metadata models for ontology,Ontological infrastructure,Semantic search,Faceted information search

论文评审过程：Received 20 April 2016, Revised 2 September 2016, Accepted 7 September 2016, Available online 10 September 2016, Version of Record 15 September 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.09.011