extracting authoring information based on keywords and semantic search
Many people, in particular researchers, are interested in searching and retrieving authoring information from online authoring databases to be cited in their research projects. In this paper, we propose a novel approach for retrieving authoring information that combines keyword and semantic-based approaches. In this approach, the user is interested only in retrieving authoring information considering some specified keywords and ignore how the internal semantic search is being processed. Additionally, this approach exploits the semantics and relationships between different resources for a better knowledge-based inference.
authoring information semantic search sparql semantic web keyword search rdf