A Restriction-Centered Theory of Reasoning and Computation to materialize a Web 3.0

Portmann, Edy (2013). A Restriction-Centered Theory of Reasoning and Computation to materialize a Web 3.0. Tiny Transactions on Computer Science Volume, 2

[img]
Preview
Text
tinytocs-submit.pdf - Published Version
Available under License Creative Commons: Attribution-Noncommercial-Share Alike (CC-BY-NC-SA).

Download (83kB) | Preview

Researchers suggest that personalization on the Semantic Web adds up to a Web 3.0 eventually. In this Web, personalized agents process and thus generate the biggest share of information rather than humans. In the sense of emergent semantics, which supplements traditional formal semantics of the Semantic Web, this is well conceivable. An emergent Semantic Web underlying fuzzy grassroots ontology can be accomplished through inducing knowledge from users' common parlance in mutual Web 2.0 interactions [1]. These ontologies can also be matched against existing Semantic Web ontologies, to create comprehensive top-level ontologies. On the Web, if augmented with information in the form of restrictions andassociated reliability (Z-numbers) [2], this collection of fuzzy ontologies constitutes an important basis for an implementation of Zadeh's restriction-centered theory of reasoning and computation (RRC) [3]. By considering real world's fuzziness, RRC differs from traditional approaches because it can handle restrictions described in natural language. A restriction is an answer to a question of the value of a variable such as the duration of an appointment. In addition to mathematically well-defined answers, RRC can likewise deal with unprecisiated answers as "about one hour." Inspired by mental functions, it constitutes an important basis to leverage present-day Web efforts to a natural Web 3.0. Based on natural language information, RRC may be accomplished with Z-number calculation to achieve a personalized Web reasoning and computation. Finally, through Web agents' understanding of natural language, they can react to humans more intuitively and thus generate and process information.

Item Type:

Journal Article (Original Article)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Management
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems

UniBE Contributor:

Portmann, Edy

Subjects:

600 Technology > 650 Management & public relations

Projects:

[389] Requirements Analysis with Words

Language:

English

Submitter:

Sara D'Onofrio

Date Deposited:

03 Apr 2014 13:31

Last Modified:

02 Nov 2015 09:25

Uncontrolled Keywords:

Reasoning, RRC, Web

BORIS DOI:

10.7892/boris.45570

URI:

https://boris.unibe.ch/id/eprint/45570

Actions (login required)

Edit item Edit item
Provide Feedback