Software Centric Innovative Methodology for Ontology Development

2009

The chapter analyzes the state of the art in the use of ontologies for various software engineering tasks. The chapter starts from defining software engineering as an application context for ontologies. Next, it introduces a framework that identifies places in software lifecycle where ontologies can contribute to improvethe current state of software engineering.

Database and Expert Systems …, 2005

2006

Abstract The process of collaborative elaboration of the Guide to the Software Engineering Body of Knowledge (SWEBOK) has produced a notable consensus on the scope of this discipline, and the continuous review process provides a mechanism for its enhancement and extension. The SWEBOK has motivated several research initiatives that attempt to engineer an ontology of Software Engineering both as an artefact for applications and also as a vehicle for the review and evolution of the Guide.

On the Move to Meaningful …, 2009

In this paper we give an account of the current state of practice in ontology engineering based on the findings of a six months empirical survey we performed between October 2008 and March 2009 that analysed 148 ontology engineering projects from industry and academia. The survey focused on process-related issues and looked into the impact of research achievements on real-world ontology engineering projects, the complexity of particular ontology development tasks, the level of tool support, and the usage scenarios for ontologies. The main contributions of this survey compared to other works in the ontology engineering community are twofold: Firstly, the size of the data set the results are grounded on is by far larger than every other similar endeavour published in the last years. Secondly, the findings of the survey confirm the fact that ontology engineering is an established engineering discipline in respect of the maturity and level of acceptance of its main components, methodologies, methods and software tools, whereas further research should target the customization of existing technology to the specifics of vertical domains, as well as economic aspects of ontology engineering.

Ontologies are used to represent the domain knowledge. But the ontologies created by different creators are different and inconsistent. Huge difference exists between domains and currently there exists no single defined methodology for ontology development. In this work, we propose an ontology development methodology called OnTo Methodology that is comprehensive & generic. We elicit the domain knowledge in a structured manner and employ various documents to support the development process. We have also developed a tool that automates the development process.

Lecture Notes in Computer Science, 2016

In this paper, we report on our experience and discuss the problems we encountered while designing, implementing and revising a set of ontologies describing the domain of data mining. We focus on a set of key issues that we think are important and need to be addressed by the ontology engineering community. These include ontology evaluation, testing, versioning, the use of design patterns, the use of IT portal(s), re-usability, and compatibility. To illustrate the key issues we provide examples that originate from our work on the ontologies for data mining. We conclude the paper with a summary and some suggestions that we believe should be addressed by the ontology engineering research community.

Semantic Web Services

Ontologies are formal, explicit specifications of shared conceptualizations. There is much literature on what they are, how they can be engineered and where they can be used inside applications. All these literature can be grouped under the term “ontological engineering,” which is defined as the set of activities that concern the ontology development process, the ontology lifecycle, the principles, methods and methodologies for building ontologies, and the tool suites and languages that support them. In this chapter we provide an overview of ontological engineering, describing the current trends, issues and problems.

—Ontologies are being developed and used in many disciplines now a day and they have become a key tool of data integration and knowledge representation in different domains of interest. The ontology building process identifies the stages through which the ontology should go through during its development. There is a certain set of activities to be performed in each stage of the ontology development process and different methodologies have been proposed by researchers for formalizing the different stages. The present paper investigates the most representative methodologies used in the ontology development to look at the different activities that are performed during the process of ontology development. The paper further attempts to provide an integrative view of the most representative methodologies used in the ontology development to look at the set of different activities that can be performed during the process of the ontology development.

On the Move to Meaningful Internet Systems 2006 …, 2006

New Generation Computing, 2004

This tutorial course describes the current state of the art of ontological engineering which is a successor of knowledge engineering. It covers theory, tools and applications and consists of three parts: Part 1 is an introduction to ontological engineering, Part 2 describes ontology development, languages and tools, and Part 3 is an advanced course dealing with philosophical issues of ontology design together with detailed guidelines of ontology development. Part 3 also presents a success story of ontological engineering with the deployment result in a company. The philosophy behind this tutorial is that ontological engineering is viewed as a challenge to enabling knowledge sharing and reuse which knowledge engineering failed to realize. Therefore, one of the major topics dealt with in this tutorial is to explain what an ontology should be while explaining how it is understood currently.