Tag: ontologies

2008: “Improving search and navigation by combining Ontologies and Social Tags”

 “Improving search and navigation  by combining Ontologies and Social Tags“, Silvia Bindelli,  Claudio Criscione,  Carlo A. Curino,  Mauro L. Drago,  Davide Eynard,  Giorgio Orsi, OTM Workshop:  Ambient Data Integration (ADI) 2008
 
ABSTRACT: 
The Semantic Web has the ambitious goal of enabling complex autonomous applications to reason on a machine-processable version of the World Wide Web. This, however, would require a coordinated effort not easily achievable in practice. On the other hand, spontaneous communities, based on social tagging, recently achieved noticeable consensus and diffusion. 
The goal of the TagOnto system is to bridge between these to realities by automatically mapping (social) tags to more structured domain ontologies, thus, providing assistive, navigational features typical of the Semantic Web. These novel searching and navigational capabilities are complementary to more traditional search engine functionalities. The system, and its intuitive AJAX interface, are released and demonstrated on-line. 
 
 Demo on-line available at: http://kid.dei.polimi.it/tagonto/ 

2008: Information Systems Integration and Evolution: Ontologies at Rescue

“Information Systems Integration and Evolution: Ontologies at Rescue”, Carlo A. Curino, Letizia Tanca, Carlo Zaniolo International Workshop on Semantic Technologies for System Maintenance (STSM) 2008

The life of a modern Information System is often char-
acterized by (i) a push toward integration with other sys-
tems, and (ii) the evolution of its data management core
in response to continuously changing application require-
ments. Most of the current proposals dealing with these is-
sues from a database perspective rely on the formal notions
of mapping and query rewriting. This paper presents the
research agenda of ADAM (Advanced Data And Metadata
Manager); by harvesting the recent theoretical advances in
this area into a unified framework, ADAM seeks to deliver
practical solutions to the problems of automatic schema
mapping and assisted schema evolution. The evolution of
an Information System (IS) reflects the changes occurring in
the application reality that the IS is modelling: thus, ADAM
exploits ontologies to capture such changes and provide
traceability and automated documentation for such evolu-
tion. Initial results and immediate benefits of this approach
are presented.