Ontology, regarded as a basic knowledge structure for information on the Semantic Web, often captures a semantic network and represents it by a graph. The domain ontology model of e-business is built combined with knowledge of domain expert. The domain ontology model of e-business is built combined with knowledge of domain expert. Ontology provides common understanding of the domain knowledge a...

Traffic congestion is rapidly increasing in urban areas, particularly in mega cities. To date, there exist a few sensor network based systems to address this problem. However, these techniques are not suitable enough in terms of monitoring an entire transportation system and delivering emergency services when needed. These techniques require real-time data and intelligent ways to quickly determ...

Today’s business world common medium of communication is email. Email is not only used in the professional way it is used in the personal interest as well. So, one of the main concern is, that user can received mails which is relevant to the user and some mail those are not all related to the user. The main thing is we need to do is to identify the important email and then make a cluster of the...

Human activity recognition is a key task in ambient intelligence applications to achieve proper ambient assisted living. There has been remarkable progress in this domain, but some challenges still remain to obtain robust methods. Our goal in this work is to provide a system that allows the modeling and recognition of a set of complex activities in real life scenarios involving interaction with...

this research aims to compare the capabilities of a thesaurus and an ontology for representation of domain knowledge. this is the first to focus on the construction of an ontology in library and information science (lis), in the domain of indexing and in persian language. the research also develops the methodology of ontology construction by implementing domain analysis methodology. the present...

This paper presents a framework for a distributed knowledge based system by integrating case based reasoning (CBR) and Fuzzy Logic. Fuzzy Logic gives CBR the power to deal with impreciseness and uncertainty. The framework for handling distributed case bases enables our system to construct solution based on collective experience distributed by discipline, time, and geography. In the proposed sys...

We outline DL-Media, an ontology mediated multimedia information retrieval system, which combines logic-based retrieval with multimedia featurebased similarity retrieval. An ontology layer is used to define (in terms of a fuzzy DLR-Lite like description logic) the relevant abstract concepts and relations of the application domain, while a content-based multimedia retrieval system is used for fe...

Folksonomies are one of the technologies of Web 2.0 that permit users to annotate resources on the Web. In this paper, the authors propose an integrated approach to extract ontological structures from unstructured and semi-structured resources. Our proposal overcomes limitations of existing approaches. It gives a formal, simple, and efficient solution to the tag clustering and disambiguation pr...

The need to deal with vague information in Semantic Web languages is rising in importance and, thus, calls for a standard way to represent such information. We may address this issue by either extending current Semantic Web languages to cope with vagueness, or by providing an ontology describing how to represent such information within Semantic Web languages. In this work, we follow the latter ...

In this paper, we present a novel method that integrates domain sentiment knowledge into the analysis approach to deal with feature-level opinion mining By constructing a domain ontology called Fuzzy Domain Sentiment Ontology Tree (FDSOT), we then utilize the prior sentiment knowledge of our ontology to achieve significantly accuracy in sentiment classification. Particularly, the FDSOT is the c...