Ontology-based IT pedagogical knowledge framework

Prospective students often have trouble differentiating between many computer-related programs of study such as computer science (CS), information systems (IS), information engineering (IE), software engineering (SE), information technology (IT), electronic commerce (EC), computer engineering (CE), etc. To compound the problem many institutions offer programs with similar names but with different content, or programs with different names but with similar content. The extensive overlap in course content in many computing-focused disciplines has even created confusion among academics. This paper first reviews relevant literature on the topic and then presents a high-level view of an Information Technology (IT) Pedagogical Knowledge framework from an ontological point of view

The state of semantic technology today - overview of the first SEALS evaluation campaigns

This paper describes the first five SEALS Evaluation Campaigns over the semantic technologies covered by the SEALS project (ontology engineering tools, ontology reasoning tools, ontology matching tools, semantic search tools, and semantic web service tools). It presents the evaluations and test data used in these campaigns and the tools that participated in them along with a comparative analysis of their results. It also presents some lessons learnt after the execution of the evaluation campaigns and draws some final conclusions

Developing ontologies in OWL: An observational study

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Extending Software Quality Models - A Sample In The Semantic Technologies Domain

In order to correctly evaluate semantic technologies,which have become widely adopted in recent years, we need to put evaluations under the scope of a unique software quality model.This paper presents a quality model for semantic technologies. First, some well-known software quality models are described,together with methods for extending them. Afterwards, a new method for extending quality models is proposed and it is then used to define a quality model for semantic technologies by extending the ISO 9126 quality model. Finally, the proposed model is validated by analyzing existing semantic technology evaluations

Software quality model for the evaluation of semantic technologies

In order to obtain high-quality software products, the specification and evaluation of quality during the software development process is of crucial importance. One important component in software evaluation is the software quality model, since it provides the basis for software evaluation and gives a better insight of the software characteristics that influence its quality. Furthermore, quality models also ensure a consistent terminology for software product quality and provide guidance for its measurement. In recent years, semantic technologies have started to gain importance and, as the field becomes more and more popular, the number of these technologies is increasing exponentially. Just as with any other software product, the quality of semantic technologies is an important concern, and multiple evaluations of semantic technologies have been performed. However, the problem is that there is no consistent terminology for describing the quality of semantic technologies and it is difficult to compare them because of differences in the meaning of the evaluation characteristics used. Also, existing software quality models do not define those quality characteristics that are specific to semantic technologies. This thesis presents a quality model for semantic technologies which aims to provide a common ground in the field of semantic technology evaluation. It also presents a new method for extending software quality models, based on a bottom-up approach, that is used to define the quality model for semantic technologies. Finally, this thesis describes the use of the semantic technology quality model in a web application that visualizes semantic technology evaluation results and provides semantic technology recommendations

SemQuaRE - An extension of the SQuaRE quality model for the evaluation of semantic technologies

To correctly evaluate semantic technologies and to obtain results that can be easily integrated, we need to put evaluations under the scope of a unique software quality model. This paper presents SemQuaRE, a quality model for semantic technologies. SemQuaRE is based on the SQuaRE standard and describes a set of quality characteristics specific to semantic technologies and the quality measures that can be used for their measurement. It also provides detailed formulas for the calculation of such measures. The paper shows that SemQuaRE is complete with respect to current evaluation trends and that it has been successfully applied in practice

Semantic Web meets Web 2.0 (and vice versa): The Value of the Mundane for the Semantic Web

Web 2.0, not the Semantic Web, has become the face of “the next generation Web” among the tech-literate set, and even among many in the various research communities involved in the Web. Perceptions in these communities of what the Semantic Web is (and who is involved in it) are often misinformed if not misguided. In this paper we identify opportunities for Semantic Web activities to connect with the Web 2.0 community; we explore why this connection is of significant benefit to both groups, and identify how these connections open valuable research opportunities “in the real” for the Semantic Web effort