Paper Info
Title
Information Enrichment Using TaToo's Semantic Framework.
Abstract
The Internet is growing in a non-coordinated manner, where different groups continuously publish and update information, adopting a variety of standards, according to the specific domain of interest: from agriculture to ecology, from groundwater to climate change. This unconstrained and unregulated growth has proven to be very successful, as more information is made available, even more is being added, in a virtuous cycle of information accrual. At the same time, modern search engines make looking for information rather easy, with their overall performance being more than satisfactory for most users. Yet, searching and discovering information requires a good deal of expertise and pre-existing knowledge. That may not be a problem when a user searches for common assets using a generic-purpose search engine. But what happens when the user is trying to gather scientific information across boundaries (e.g. cross different disciplines, cross environmental domains, etc)? This asks for new approaches, methods and tools to close the discovery gap of information resources satisfying your specific request. This is exactly the challenge the TaToo project is heading to.
Year
DOI
Venue
2010
10.1007/978-3-642-16552-8_15
Communications in Computer and Information Science
Keywords
Field
DocType
semantic annotation,semantic tagging,model search and discovery,web services,environmental information enrichment
Publication,Data mining,Semantic framework,World Wide Web,Virtuous circle and vicious circle,Search engine,Accrual,Computer science,Information modelling,Web service,The Internet
Conference
Volume
ISSN
Citations 
108
1865-0929
3
PageRank 
References 
Authors
0.64
3
6
Name
Order
Citations
PageRank
Gerald Schimak18126.89
Andrea Emilio Rizzoli262761.44
Giuseppe Avellino3478.34
Tomás Pariente Lobo4759.89
José María Fuentes5132.76
Ioannis N. Athanasiadis635244.44