Search

Nowadays, Linked Open Data (LOD) has grown rapidly to become large open datasets defined by RDF standards. Thanks to development of Data Web, the information on LOD is increasingly deeper, larger and easier to link in multi-domains, constituting the Linked Open Data cloud. Recently end-users applications using linked data sources as background knowledge appeared [15]. Thus, the exploitation of information on LOD effectively brings tremendous values as well as challenges. Meanwhile, Exploratory Search (ES) describes information-seeking processes that are opportunistic, iterative, and multi-tactical [7]. Furthermore, systems based on ES capitalize on new technological capabilities and interface paradigms that facilitate an increased level of interaction with information. In this paper, we present a method on searching and recommending information to empower exploratory search with semantic technologies. Our aim is to use algorithms with incorporation of structured semantics in search to give users the best related-semantic results and enhance users' interactions. We have exploited the data within LinkedMDB1 to support users in finding some information in the movie domain.

The information explosion especially on the World Wide Web has made it become the most immense information source and a gold mine for corporations. In the field of technology monitoring, it is very important to be able to get relevant information from heterogeneous sources on the Web. The arrival of Semantic Web technologies promises intelligent retrieval and access to information through the use of semantic annotations based on relevant ontologies. In a scenario of technology monitoring, the automatic generation of semantic annotations of Web document has a significant role. In this article, after describing a new approach based on Semantic Web technologies for building a technology monitoring system, we present an ontology-based algorithm for automatic search and annotation of Web documents. This algorithm will be encapsulated by agents in a multi agent technology monitoring system.

International audience; We first describe a multi-agent system managing a corporate memory in the form of a corporate semantic web. We then focus on a newly introduced society of agents in charge of wrapping external HTML documents that are relevant to the activities of the organization, by extracting semantic Web annotations using tailored XSLT templates.