Thabet Slimani

An overview of search methodologies in Semantic Web

Several researches in Semantic Web are based on information search centered meaning. The common purpose of these researches is to improve current information search and retrieval methods. The last few years have seen a various number of developed semantic search systems. The requirement of a complete survey in this field is one of the main purpose of this paper. The approaches, methodologies and objectives of some recognized projects and their corresponding practical systems are exploited to constitute this overall view of semantic search. In this paper, we present and compare various research directions in semantic search. Further, we give discussion with regards to future research in this area.

SSERank: semantic search engine for page ranking based on the relations weight

Semantic search engines promise to provide more accurate results than current keywords search engines. However, it is useful to exploit ontological relations in search steps. In this paper, we present an approach which automatically exploits the keywords in a user query to find related concepts in domain ontology. Given an ontology and some annotated pages, the weights assigned to relations in a given page indicate its strength. However, in order to rank results, we assign a weight for each annotated page. This paper proposes a prototype (SSERank) relation-based page weighting and ranking with semantic search capability. The obtained results show that SSERank will have great utility although there is potential for improvement.