An Assisted Process for Building Semiotic Web Ontology

Ontologies have become a popular research topic in many communities. In fact, ontology is a main component of this research; therefore, the definition, structure and the main operations and applications of ontology are provided. Web content consists mainly of distributed hypertext and hypermedia, and is accessed via a combination of keyword based search and link navigation. Hence, the ontology can provide a common vocabulary, and a grammar for publishing data, and can supply a semantic description of data which can be used to preserve the ontologies and keep them ready for inference. This paper provides basic concepts of semantic web, and defines the structure and the main applications of ontology.

2008

Ontology evaluation is an important issue that must be addressed during the lifecycle of an ontology because it assures that the ontology reflects the desired requirements during selection, design, population, evolution, usage, or other processes of the ontology lifecycle. Ontology evaluation aims at assessing the quality and the adequacy of an ontology from the point of view of a particular predefined criterion, for use in a specific context, for a specific purpose. Here, we demonstrate that evaluation is an important issue for ontology evolution. To capture the different nature of evaluation and evolution criteria, we use a tool (S-OntoEval) aiming at assessing ontology quality by implementing existing quality metrics that draw upon semiotic theory. An evaluation of the SWIntO ontology of the SmartWeb project shows its controlled evolution by quality measurement and improvement.

Encyclopedia of Database Technologies and Applications, 2005

International Journal of Computer Applications, 2011

In The World Wide Web (WWW) serves the human with vast amount of data and information.The usage pattern or user base has multiplied many folds since its origin. Despite the increasing importance gained by the WWW, to serve the human, it lacks the feature to serve meaningful information to machine this means that limited support for utilization of data and information is achieved. Thus the web needs to be made Semantic wherein different applications, agents, Web services and the web sites can exchange information to their full potential. This calls for representing the knowledge residing on WWW in a uniform manner understandable by both man and machine. Thus some taxonomy is needed to make representations of the web contents which can be machine readable and usable .This paper proposes to relate the need for Ontology and relate it to Web ontology language (OWL) and identify its position in making the Semantic Web. It is also felt that ontological support is needed for the semantic web in order to make the information ready for machine consumption. The ontological structure using the Web Ontology Language (OWL) which is used for modeling ontologies of context and for supporting Context reasoning is explored in this paper.The Web Ontology Language is designed for use by applications that need to process the content of information instead of just presenting information to humans. OWL facilitates greater machine interpretability of Web content

The current paper aims to study Web ontologies from a semiotic perspective. On the one hand, the study of signs is constantly used lately in the analysis of the social life, of organisations and informational systems. On the other hand, Web ontologies may be seen as systems of signs, wishing to catch the reality of a certain field by identifying fundamental categories of identities and the relations between them. Their intention is to describe their significance as accurately as possible, so as to ensure the best communication between computing systems. Since any act of communication includes and involves signs and codes (Fiske, J., quoted in Borţun, 2006), in the current paper we bring to discussion the opportunity of using semiotics, as the science that studies signs, in the study of the Web ontologies

2010

Abstract In this paper we introduce CODA (Computer-aided Ontology Development Architecture), an Architecture and a Framework for semiautomatic development of ontologies through analysis of heterogeneous information sources. We have been motivated in its design by observing that several fields of research provided interesting contributions towards the objective of augmenting/enriching ontology content, but that they lack a common perspective and a systematic approach.

2010

Semantic web provides virtual communities that enable intelligent interaction between software agents and people due to availability of standard open ontologies. But, as the semantic web is gaining much popularity, there is a massive growth seen in the ontology development which poses new research challenges such as ontology classification, ranking, searching, retrieval, etc. This results many recent developments, like OntoKhoj, Swoogle, OntoSearch, that facilitate user for such tasks. These semantic web portals mainly treat ontologies as plain texts and use traditional classification algorithms of plain text for classifying ontologies in directories and assigning predefined labels rather than using semantic knowledge hidden within the ontologies. These approaches suffer with many types of classification problems and lack of accuracy, especially in the case of overlapping ontologies that share common vocabularies. In this paper, we define ontology classification problem and categorized it into many sub-problems. We present a new methodology for ontology classification that is based on ontology approach for ontology classification and retrieval. The proposed framework, ONTCLASSIFIRE, benefit construction, maintenance or expansion of ontologies directories on the semantic web, and helps in ontology management and retrieval for software agents and people. We conclude that the use of context specific knowledge hidden in ontologies gives more accurate results of ontology classification and retrieval.

2013

Abstract-----Present vision for the web is the semantic web in which information is given explicit meaning, making it easier for machines to automatically process and integrate information available on the web. It provides the information exactly. Now days, ontology is playing a major role in knowledge representation for the semantic web [1]. Ontology is a conceptualization of domain into a human understandable and machine readable or machine process able format consisting of entities, attributes, relationships and axioms. Ontology web language is designed for use by applications that need to process the content of information [22]. In this context many e-learning systems were proposed in the literature. Semantic Web technology may support more advanced Artificial intelligence problems for knowledge retrieval [20]. This paper aims at presenting an intelligent e-learning system from the literature. Keywords-Semantic web; e-learning; Ontology Web Language (OWL); Ontology; OWL-S Servic...

International Journal of Innovative Research in Computer and Communication Engineering, 2014

The continuing need for effective information retrieval, paved way for the inception of semantic web. It’s, unquestionably, as extension to the existing web which holds distributed information lacking any logical relationships amongst themselves. This information can be integrated and related to each other using ontologies. The paper intends to bridge this gap by providing a brief idea of ontology creation and how can it help in implementation of semantic web. The paper has threefold objective. Firstly the paper provides multiple definitions of ontology and their relation with in semantic web. Secondly the paper briefly provides a comparison of several ontology development tools justifies the use of a particular ontology tool. Lastly the paper proposes an ontology on data structures.

International Journal on Software Tools for Technology Transfer, 2007

This paper presents an eXtensible Stylesheet Language Transformation (XSLT)-based approach for automatic generation of the Web Ontology Language (OWL) from a UML model. Similar solutions that treat this problem are mostly partial since they do not use full metamodeling potentials. Although they emphasize the notion of the use UML for ontology development and propose necessary transformations into Semantic Web languages (e.g., RDF Schema, DAML, DAML+OIL), their UML models must be further refined using ontology-specialized tool. None of these approaches enables instance modeling and generation of OWL ontologies. In our efforts to make ontological and software engineering techniques closer, we have firstly defined ontology metamodeling architecture using Model Driven Architecture (MDA) concepts. This architecture consists of the Ontology Definition Metamodel defined using Meta Object Facility (MOF) and based on the OWL, as well as the related Ontology UML Profile (OUP). A transformation, that we present here, extends this metamodeling architecture and transforms an ontology from its OUP definition (i.e., XML Metadata Interchange – XMI) into the OWL description. Accordingly, we illustrate how an OUP-developed ontology can be shared with ontological engineering tools (i.e., Protégé).