title: Reasoning about Social Semantic Web Applications using String Similarity and Frame Logic
creator: Schatten, Markus 
creator: Kakulapati, Vijayalakshmi
creator: Cubrilo, Mirko 
subject: Artificial Intelligence
subject: Machine Learning
subject: Statistical Models
description: 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.
publisher: Faculty of Organization and Informatics
contributor: Aurer, Boris
contributor: Bača, Miroslav
contributor: Schatten, Markus
date: 2010-09-22
type: Journal (Paginated)
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/7040/1/108
identifier:   Schatten, Markus  and Kakulapati, Vijayalakshmi and Cubrilo, Mirko   (2010) Reasoning about Social Semantic Web Applications using String Similarity and Frame Logic.  [Journal (Paginated)]     
relation: http://cogprints.org/7040/