Benchmarking ontology tools. A case study for the WebODE platform

As the Semantic Web grows the number of tools that support it increases, and a new need arises: the assessment of these tools in order to analyse whether they can deal with actual and future performance requirements. In order to evaluate ontology tools’ performance, the development and use of benchmark suites for these tools is needed. In this paper we describe the design and execution of a benchmark suite for assessing the performance of the WebODE ontology engineering workbench

Infraestructura tecnológica de servicios semánticos para la Web Semántica

This project aims at creating a network of distributed interoperable semantic services for building more complex ones. These services will be available in semantic Web service libraries, so that they can be invoked by other systems (e.g., semantic portals, software agents, etc.). Thus, to accomplish this objective, the project proposes: a) To create specific technology for developing and composing Semantic Web Services. b) To migrate the WebODE ontology development workbench to this new distributed interoperable semantic service architecture. c) To develop new semantic services (ontology learning, ontology mappings, incremental ontology evaluation, and ontology evolution). d) To develop technological support that eases semantic portal interoperability, using Web services and Semantic Web Services. The project results will be open source, so as to improve their technological transfer. The quality of these results is ensured by a benchmarking process. Keywords: Ontologies and Semantic We

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

ODESeW. Automatic Generation of Knowledge Portals for Intranets and Extranets

This paper presents ODESeW (Semantic Web Portal based on WebODE platform [1]) as an ontology-based application that automatically generates and manages a knowledge portal for Intranets and Extranets. ODESeW is designed on the top of WebODE ontology engineering platform. This paper shows the service architecture that allows configuring the visualization of ontology-based information for different kinds of users, establishing reading and updating access policies to its content, and performing consistency checking between the portal information and the ontologies underlying it

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 withing Decentralized Settings

This chapter addresses two research questions: “How should a well-engineered methodology facilitate the development of ontologies within communities of practice?” and “What methodology should be used?” If ontologies are to be developed by communities then the ontology development life cycle should be better understood within this context. This chapter presents the Melting Point (MP), a proposed new methodology for developing ontologies within decentralised settings. It describes how MP was developed by taking best practices from other methodologies, provides details on recommended steps and recommended processes, and compares MP with alternatives. The methodology presented here is the product of direct first-hand experience and observation of biological communities of practice in which some of the authors have been involved. The Melting Point is a methodology engineered for decentralised communities of practice for which the designers of technology and the users may be the same group. As such, MP provides a potential foundation for the establishment of standard practices for ontology engineering

Towards an ontology modeling tool. A validation in software engineering scenarios.

Ontology creation and management related processes are very important to define and develop semantic services. Ontology Engineering is the research field that provides the mechanisms to manage the life cycle of the ontologies. However, the process of building ontologies can be tedious and sometimes exhaustive. OWL VisMod is a tool designed for developing ontological engineering based on visual analytics concep tual modeling for OWL ontologies life cycle management, supporting both creation and understanding tasks. This paper is devoted to evaluate OWL VisMod through a set of defined tasks. The same tasks also will be done with the most known tool in Ontology Engineering, Protégé, in order to compare the obtained results and be able to know how is OWL VisMod perceived for the expert users. The comparison shows that both tools have similar acceptation scores, but OWL VisMod presents better feelings regard ing user’s perception tasks due to the visual analytics influence

A Prototype Method and Tool to Facilitate Knowledge Sharing in the New Product Development Process

New Product Development (NPD) plays a critical role in the success of manufacturing firms. Activities in the product development process are dependent on the exchange of knowledge among NPD project team members. Increasingly, many organisations consider effective knowledge sharing to be a source of competitive advantage. However, the sharing of knowledge is often inhibited in various ways. This doctoral research presents an exploratory case study conducted at a multinational physical goods manufacturer. This investigation uncovered three, empirically derived and theoretically informed, barriers to knowledge sharing. They have been articulated as the lack of an explicit definition of information about the knowledge used and generated in the product development process, and the absence of mechanisms to make this information accessible in a multilingual environment and to disseminate it to NPD project team members. Collectively, these barriers inhibit a shared understanding of product development process knowledge. Existing knowledge management methodologies have focused on the capture of knowledge, rather than providing information about the knowledge and have not explicitly addressed issues regarding knowledge sharing in a multilingual environment. This thesis reports a prototype method and tool to facilitate knowledge sharing that addresses all three knowledge sharing barriers. Initially the research set out to identify and classify new product development process knowledge and then sought to determine what information about specific knowledge items is required by project teams. Based on the exploratory case findings, an ontology has been developed that formally defines information about this knowledge and allows it to be captured in a knowledge acquisition tool, thereby creating a knowledge base. A mechanism is provided to permit language labels to be attached to concepts and relations in the ontology, making it accessible to speakers of different languages. A dissemination tool allows the ontology and knowledge base to be viewed via a Web browser client. Essentially, the ontology and mechanisms facilitate a knowledge sharing capability. Some initial validation was conducted to better understand implementation issues and future deployment of the prototype method and tool in practice