Paper Info
Title
A Collaborative, Semantic and Context Aware Search Engine
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 three key features in a novel search engine architecture.
Year
Venue
Keywords
2007
ICEIS 2007: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS: INFORMATION SYSTEMS ANALYSIS AND SPECIFICATION
search engine,community,location aware,semantics,NLP,RDHT,DART,3D-UI
Field
DocType
Citations 
World Wide Web,Search engine,Information retrieval,Computer science,Search engine indexing,Search-oriented architecture,Location aware,Semantics
Conference
1
PageRank 
References 
Authors
0.39
12
12
Name
Order
Citations
PageRank
M. Angioni1124.31
Roberto Demontis2143.17
Massimo Deriu393.19
Emanuela De Vita483.13
Cristian Lai5176.66
Ivan Marcialis692.83
Gavino Paddeu7227.48
Antonio Pintus8867.87
Andrea Piras9939.35
Raffaella Sanna1021.67
Alessandro Soro117917.99
Franco Tuveri1263.27