Web of similarity

Pileggi, Salvatore F. (2016) Web of similarity. Journal of Computational Science, . doi:10.1016/j.jocs.2016.11.008


Author Pileggi, Salvatore F.
Title Web of similarity
Journal name Journal of Computational Science   Check publisher's open access policy
ISSN 1877-7503
1877-7511
Publication date 2016-11-23
Year available 2016
Sub-type Article (original research)
DOI 10.1016/j.jocs.2016.11.008
Open Access Status Not yet assessed
Total pages 7
Place of publication Oxford, United Kingdom
Publisher Elsevier
Collection year 2017
Language eng
Abstract Despite the achieved maturity and popularity, the current semantic technology has severe limitations in real-world applications as it is unable to represent uncertain knowledge. Probabilistic Semantics partially address this issue. Unfortunately, their quantitative approach fails in many practical applications that require a more abstracted vision and conceptual model of the uncertainties. Indeed, Probabilistic Semantics can only model ecosystems where all the uncertainties are quantified. In this paper, we introduce a qualitative approach for the representation of the uncertainties in the Semantic Web. We propose a human-inspired model that defines the uncertainty as an explicit similarity, providing a flexible range of solutions for approximate semantic reasoning in uncertain ecosystems. The resulting semantic environment, referred to as Web of Similarity (WoS), is an extension of the Web of Data which is able to represent and process analogies among concepts and individuals. As the generic Semantic Web, the Web of Similarity is a global semantic infrastructure that can support specific systems or applications at a global scale. WoS is a step forward to get richer Web Semantics which are closer to the human ones.
Keyword Semantic technology
Probabilistic computing
Knowledge representation
Uncertain knowledge
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Information Technology and Electrical Engineering Publications
 
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Tue, 17 Jan 2017, 13:02:56 EST by System User on behalf of School of Information Technol and Elec Engineering