Corporate Semantic Web aims at bringing semantic technologies to enterprises for gaining, managing, and utilizing knowledge as one of the critical resources for their success in a quickly changing and highly competitive world. It provides solutions in three main application areas for semantic technologies, namely semantic engineering, semantic search, and semantic collaboration in cooperations....

This paper explores four kinds of semantic knowledge to improve keyword-based Web search, including thesauruses, categories, ontologies, and social annotations. These heterogeneous semantic knowledge represent meanings of Web information, thus they can be used to improve search results in respect of semantic relevance. Currently, different semantic search paradigms have been developed for diffe...

Semantic search promises to provide more accurate result than present-day keyword search. However, progress with semantic search has been delayed due to the complexity of its query languages. In this paper, we explore a novel approach of adapting keywords to querying the semantic web: the approach automatically translates keyword queries into formal logic queries so that end users can use famil...

In this paper, we aim at showing the advantages of Conceptual Graph formalism for the Semantic Web through several real-world applications in the framework of Corporate Semantic Webs. We describe the RDF(S)-dedicated semantic search engine, CORESE, based on a correspondence between RDF(S) and Conceptual Graphs, and we illustrate the interest of Conceptual Graphs through the analysis of several ...

that eases the deployment of semantic search engines. Search engines are becoming such an easy way to find textual resources that we wish to use them also for multimedia content; however, syntactic techniques, even if promising, are not up to the task. With Squiggle we prove that Semantic Web technologies provide real benefits to end users in terms of an easier and more effective access to info...