Catálogo de publicaciones - libros

With the increasing popularity of (online journals) as a medium for expressing personal thoughts and advice, and users becoming more mobile, we foresee an opportunity for such opinionated content to be utilised as information sources in the mobile arena. In this short paper, we present IRMAN (Information Retrieval in Mobile Adhoc Networks), a software framework for Peer-to-Peer (P2P) IR over Mobile AdHoc Networks (MANET). A Java based prototype system has been developed based on the aforementioned framework for creating, retrieving, and sharing user blogs on handhelds in mobile social cyberspaces.

Finding automatic ways of attaching geographical scopes to on-line resources, also called “geo-referencing” documents, is a challenging problem, getting increasing attention [1,5,3]. Here we present a system architecture and a process for identifying the geographical scope of Web pages, defining a scope as the region where more people than average would find that page relevant. We rely on typical Web IR heuristics (i.e. feature weighting, hypertext topic locality, anchor description) and assumptions on how people use geographical references in documents. The method involves three major steps. First, geographical named entities are identified in the text. Next, we propagate the found named entities through the Web linkage graph. Finally, a geographical ontology is used to disambiguate among the named entities associated to a document, this way selecting the most likely scope. In the future, we plan on using scopes in new location-aware search tools.

We present a novel fusion method — AP-based Borda voting method (APBB)— for rankings. Due to its adaptive weighting scheme, APBB outperforms many traditional methods. Comparative experiments on TRECVID 2004 data were carried out and showed the robustness and effectiveness of this method.