Evaluation experiment of ontology tools’ interoperability with the WebODE ontology engineering workbench

This paper presents the results of the interoperability experiment proposed in EON2003, using the following ontology tools: Protégé-2000 and WebODE. We will show which knowledge is preserved and which knowledge is lost in the import/export processes between tools when using RDF(S) as an intermediate language

Ontology translation approaches for interoperability: A case study with Protege-2000 and WebODE

We describe four ontology translation approaches that can be used to exchange ontologies between ontology tools and/or ontology languages. These approaches are analysed with regard to two main features: how they preserve the ontology semantics after the translation process (aka semantic or consequence preservation) and how they allow final users and ontology-based applications to understand the resulting ontology in the target format (aka pragmatic preservation). These approaches are illustrated with practical examples that show how they can be applied to achieve interoperability between the ontology tools Protege-2000 and WebODE

A benchmark suite for evaluating the performance of the WebODE Ontology Engineering Platform

Ontology tools play a key role in the development and maintenance of the Semantic Web. Hence, we need in one hand to objectively evaluate these tools, in order to analyse whether they can deal with actual and future requirements, and in the other hand to develop benchmark suites for performing these evaluations. In this paper, we describe the method we have followed to design and implement a benchmark suite for evaluating the performance of the WebODE ontology engineering workbench, along with the conclusions obtained after using this benchmark suite for evaluating WebODE

Results of Taxonomic Evaluation of RDF(S) and DAML+OIL Ontologies using RDF(S) and DAML+OIL Validation Tools and Ontology Platforms Import Services

Before using RDF(S) and DAML+OIL ontologies in Semantic Web applications, its content should be evaluated from a knowledge representation point of view. In recent years, some RDF(S) and DAML+OIL ‘checkers’, ‘validators’, and ‘parsers’ have been created and several ontology platforms are able to import RDF(S) and DAML+OIL ontologies. Two are the experiments presented in this paper. The first one reveals that the majority of RDF(S) and DAML+OIL parsers (Validating RDF Parser, RDF Validation Service, DAML Validator, and DAML+OIL Ontology Checker) do not detect taxonomic mistakes in ontologies implemented in such languages. So, if such ontologies are imported by ontology platforms, are they able to detect such problems? The second experiment presented in this paper reveals that the majority of the ontology platforms (OilEd, OntoEdit, Protégé-2000, and WebODE) only detect a few of mistakes in concept taxonomies before importing them

Ontological Engineering: What are Ontologies and How Can We Build Them?

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 problem

Towards an Assembly Reference Ontology for Assembly Knowledge Sharing

Information and Communication Technologies (ICT) have been increasingly used to support the decision making in manufacturing organizations however they lack the ability to fully support the capture and sharing of specific domain knowledge across multiple domains. The ability of ICT based systems to share knowledge is impeded by the semantic conflicts arising from loosely defined meanings and intents of the participating concepts. This research work exploits the concept of formal ontologies to rigorously define the semantics of domain concepts to support knowledge sharing within the assembly domain. In this thesis, a novel research framework has been proposed in the form of a assembly reference ontology which can provide a common semantic base to support knowledge sharing across the assembly design and assembly process planning domains. The framework consists of a set of key reference concepts identified to represent the assembly domain related knowledge. These concepts have been specialized from the most generic level to the most specialized level and have been formally defined to support the capture and sharing of assembly knowledge. The proposed framework also supports the creation of application specific ontologies by providing them with a common semantic base. The research concept has been experimentally investigated by using a selected set of assembly reference concepts which have been used to formally represent and relate assembly design and assembly process planning knowledge. The results of the experiments verify that the implemented ontology facilitates the system to understand the semantics of concepts and supports knowledge sharing across the assembly design and assembly process planning domains. The experimental results also show that the proposed framework can also support the development of a range of application specific ontologies

Ontology-based services for agents interoperability

Tese de doutoramento. Engenharia Electrotécnica e de Computadores. 2006. Faculdade de Engenharia. Universidade do Port