Semantic annotation of scientific publications based on integration of concept knowledge

Abstract

Discovery of knowledge plays a crucial role in large volumes of data for extracting the valuable knowledge units. The indexing activity with the meaning of contents instead of character strings has become the motivation of searching documents in the information retrieval field. The process of finding and selecting the relevant concepts are the main objectives for the semantic indexing activity. This paper proposes a semantic annotation strategy to support the semantic indexing activity of academic community. The proposed activity extracts the corresponding concepts of a specific document from the semantic network. The annotation activity is based on the semantic degree value of each concept. The knowledge-based approach is used to calculate the degree value of concepts and this approach only rely on the concepts structure of knowledge graph. The proposed annotation activity can be applied as part of the semantic web application and semantic search engines for analyzing and characterizing the meanings of contents.