Authors:
Manuela Angioni
;
Roberto Demontis
;
Massimo Deriu
;
Emanuela De Vita
;
Cristian Lai
;
Ivan Marcialis
;
Gavino Paddeu
;
Antonio Pintus
;
Andrea Piras
;
Raffaella Sanna Alessandro Soro
;
Alessandro Soro
and
Franco Tuveri
Affiliation:
CRS4 - Center for Advanced Studies, Research and Development in Sardinia, Italy
Keyword(s):
Search Engine, Community, Location Aware, Semantics, NLP, RDHT, DART, 3D-UI.
Related
Ontology
Subjects/Areas/Topics:
Cloud Computing
;
Enterprise Information Systems
;
Internet and Collaborative Computing
;
Semantic Web Technologies
;
Services Science
;
Software Agents and Internet Computing
Abstract:
Search engines help people to find information in the largest public knowledge system of the world: the Web. Unfortunately its size makes very complex to discover the right information. The users are faced lots of useless results forcing them to select one by one the most suitable. The new generation of search engines evolve from keyword-based indexing and classification to more sophisticated techniques considering the meaning, the context and the usage of information. We argue about the three key aspects: collaboration, geo-referencing and semantics. Collaboration distributes storage, processing and trust on a world-wide network of nodes running on users’ computers, getting rid of bottlenecks and central points of failures. The geo-referencing of catalogued resources allows contextualisation based on user position. Semantic analysis lets to increase the results relevance. In this paper, we expose the studies, the concepts and the solutions of a research project to introduce these th
ree key features in a novel search engine architecture.
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