Naslov
Reasoning about Social Semantic Web Applications using String Similarity and Frame Logic

Autori
Schatten, Markus ; Kakulapati, Vijayalakshmi ; Čubrilo, Mirko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 21st Central European Conference on Information and Intelligent Systems / Aurer, Boris ; Bača, Miroslav ; Schatten, Markus - Varaždin : Fakultet organizacije i informatike Sveučilišta u Zagrebu, 2010, 25-32

Skup
21st Central European Conference on Information and Intelligent Systems

Mjesto i datum
Varaždin, Hrvatska, 22.09.2010. - 24.09.2010

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
social semantic web; intelligent agent; reasoning; frame logic; string similarity metric

Sažetak
Social semantic Web or Web 3.0 application gained major attention from academia and industry in recent times. Such applications try to take advantage of user supplied meta data, using ideas from the semantic Web initiative, in order to provide better services. An open problem is the formalization of such meta data, due to its complex and often inconsistent nature. A possible solution to inconsistencies are string similarity metrics which are explained and analyzed. A study of performance and applicability in a frame logic environment is conducted on the case of agent reasoning about multiple domains in TaOPis - a social semantic Web application for self-organizing communities. Results show that the NYSIIS metric yields surprisingly good results on Croatian words and phrases.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA