A Representation Language for Multimedia Web Semantic

2007 ◽  
Author(s):  
Ahmed Azough ◽  
Alexandre Delteil ◽  
Mohand-Said Hacid ◽  
Fabien de Marchi
Keyword(s):  
Representation Language

A FORMALISM FOR REPRESENTING AND REASONING WITH LINGUISTIC INFORMATION

2002 ◽  
Vol 10 (03) ◽  
pp. 281-307 ◽  
Author(s):  
TRU H. CAO
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Natural Language ◽  
Functional Relation ◽  
Computing With Words ◽  
Conceptual Graphs ◽  
Graph Language ◽  
Conceptual Graph ◽  
Knowledge Representation Language ◽  
Representation Language

Conceptual graphs and fuzzy logic are two logical formalisms that emphasize the target of natural language, where conceptual graphs provide a structure of formulas close to that of natural language sentences while fuzzy logic provides a methodology for computing with words. This paper proposes fuzzy conceptual graphs as a knowledge representation language that combines the advantages of both the two formalisms for artificial intelligence approaching human expression and reasoning. Firstly, the conceptual graph language is extended with functional relation types for representing functional dependency, and conjunctive types for joining concepts and relations. Then fuzzy conceptual graphs are formulated as a generalization of conceptual graphs where fuzzy types and fuzzy attribute-values are used in place of crisp types and crisp attribute-values. Projection and join as basic operations for reasoning on fuzzy conceptual graphs are defined, taking into account the semantics of fuzzy set-based values.

Representation Language

2011 ◽  
pp. 863-863
Author(s):  
M. D. Buhmann ◽  
Prem Melville ◽  
Vikas Sindhwani ◽  
Novi Quadrianto ◽  
Wray L. Buntine ◽  
...  
Keyword(s):  
Representation Language

scholarly journals Self-organising Logic of Structures as a Basis for a Dependency-based Dynamic Semantics Model

2015 ◽  
pp. 25-55
Author(s):  
Maciej Piasecki
Keyword(s):  
Language Use ◽  
Semantic Representation ◽  
Theoretical Perspective ◽  
Expressive Power ◽  
Dynamic Semantics ◽  
Huge Number ◽  
Language Data ◽  
Polish Language ◽  
Representation Language ◽  
Local Range

Self-organising Logic of Structures as a Basis for a Dependency-based Dynamic Semantics ModelWe present Self-organising Logic of Structures (SLS), a semantic representation language of high expressive power, which was designed for a fully compositional representation of discourse anaphora following the Dynamic Semantics paradigm. The application of SLS to the description of possible meanings of Polish multiple quantifier sentences is discussed. Special attention is paid to the phenomena of: cardinality dependency/independency of Noun Phrase quantifiers and variety of quantification. Semantic representation based on several formal operators is proposed. They can be combined in many different ways, if one takes a purely theoretical perspective. However, in the paper we show that this huge number is practically reduced in the language use and is governed by several constraints motivated by the analysis of Polish language data. The Hypothesis of Local Range of Cardinality Dependency is formulated as an alternative to representations based on quantifier rising technique. SLS provides a multi-layered language description of inter-linked representation of sever antification, reference, presupposition and anaphora.

scholarly journals The Case for Privacy Awareness Requirements

2016 ◽  
Vol 7 (2) ◽  
pp. 19-36 ◽  
Author(s):  
Inah Omoronyia
Keyword(s):  
Software Systems ◽  
Privacy Management ◽  
Mobile Environment ◽  
Privacy Concerns ◽  
Language Analysis ◽  
Process Framework ◽  
Representation Language ◽  
Smart Mobile ◽  
Management Capabilities ◽  
Initial Process

Privacy awareness is a core determinant of the success or failure of privacy infrastructures: if systems and users are not aware of potential privacy concerns, they cannot effectively discover, use or judge the effectiveness of privacy management capabilities. Yet, privacy awareness is only implicitly described or implemented during the privacy engineering of software systems. In this paper, the author advocates a systematic approach to considering privacy awareness. He characterizes privacy awareness and illustrate its benefits to preserving privacy in a smart mobile environment. The author proposes privacy awareness requirements to anchor the consideration of privacy awareness needs of software systems. Based on these needs, an initial process framework for the identification of privacy awareness issues is proposed. He also argues that a systematic route to privacy awareness necessitates the investigation of an appropriate representation language, analysis mechanisms and understanding the socio-technical factors that impact the manner in which we regulate our privacy.

A Probabilistic Classifier System and Its Application in Data Mining

2006 ◽  
Vol 14 (2) ◽  
pp. 183-221 ◽  
Author(s):  
Jorge Muruzábal
Keyword(s):  
Data Mining ◽  
Predictive Power ◽  
Benchmark Problems ◽  
Classifier System ◽  
Probabilistic Classifier ◽  
Classification Tasks ◽  
Representation Language ◽  
Stable Learning ◽  
Well Posed ◽  
Low Uncertainty

The article is about a new Classifier System framework for classification tasks called BYP CS (for BaYesian Predictive Classifier System). The proposed CS approach abandons the focus on high accuracy and addresses a well-posed Data Mining goal, namely, that of uncovering the low-uncertainty patterns of dependence that manifest often in the data. To attain this goal, BYP CS uses a fair amount of probabilistic machinery, which brings its representation language closer to other related methods of interest in statistics and machine learning. On the practical side, the new algorithm is seen to yield stable learning of compact populations, and these still maintain a respectable amount of predictive power. Furthermore, the emerging rules self-organize in interesting ways, sometimes providing unexpected solutions to certain benchmark problems.

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