Oyster – Sharing and Re-using Ontologies in a Peer-to-Peer Community

In this paper, we present Oyster, a Peer-to-Peer system for exchanging ontology metadata among communities in the Semantic Web. Oyster exploits semantic web techniques in data representation, query formulation and query result presentation to provide an online solution for sharing ontologies, thus assisting researchers in re-using existing ontologies

Expliciting semantic relations between ontologies in large ontology repositories

and other research outputs Expliciting semantic relations between ontologies in large ontology repositorie

The Distributed Ontology Language (DOL): Use Cases, Syntax, and Extensibility

The Distributed Ontology Language (DOL) is currently being standardized within the OntoIOp (Ontology Integration and Interoperability) activity of ISO/TC 37/SC 3. It aims at providing a unified framework for (1) ontologies formalized in heterogeneous logics, (2) modular ontologies, (3) links between ontologies, and (4) annotation of ontologies. This paper presents the current state of DOL's standardization. It focuses on use cases where distributed ontologies enable interoperability and reusability. We demonstrate relevant features of the DOL syntax and semantics and explain how these integrate into existing knowledge engineering environments.Comment: Terminology and Knowledge Engineering Conference (TKE) 2012-06-20 to 2012-06-21 Madrid, Spai

Adaptive courseware design based on learner character

During last decade, a great advance has been done in both theoretical research and software construction of Adaptive Hypermedia Systems (AHS). The article discusses the practical approach taken for authoring and instructional design of adaptive courseware based on learner character, namely learner goals and preferences, learner style, and learner performance and satisfaction level. This approach is adopted at pilot test of ADOPTA - adaptive technology-enhanced platform for edutainment. The authoring process relies strongly on an enhanced learning object metadata support, where learning styles are used for adaptive navigation within the narrative storyboard graph. On other side, both learner knowledge and satisfaction level determine adaptive content selection

Storyboard Design for Adaptive E-learning Based on Learning Styles

The article discusses the methodology taken for instructional design of adaptive courses based on learner character such as learner goals and preferences, learner style and, as well, learner performance and satisfaction level. The adaptive course is presented by storyboard graph, whose nodes are pages with learning content, but paths in it represent different pedagogical strategies set by the instructor. This approach was used in ADOPTA - adaptive technology enhanced platform for edutainment, in order to develop a course on XML. It is consistent with a new conceptual model for adaptive hypermedia and uses a family of Honey and Mumford learning styles

Software Construction of an Authoring Tool for Adaptive E-learning Platform

In last decade, more and more platforms for elearning content delivery provide adaptability towards learners goals, styles and performance. Usually, such platforms rely on own authoring tool or use external one in order to create learning materials. Usually, these tools follow modern e-learning standards but are rather complicated to be used and miss interoperability features. In this paper, we present software construction of an authoring tool, which is a part of a platform for building edutainment (education plus entertainment) services – ADOPTA (ADaptive technOlogy-enhanced Platform for eduTAinment). This authoring tool is designed by using Java EE 5 platform and provides inheritance mechanisms for learning object metadata descriptions, metadata for semantic ontology graphs, and good integration with instructor tool for creation of adaptive courseware

Building an ontology catalogue for smart cities

Apart from providing semantics and reasoning power to data, ontologies enable and facilitate interoperability across heterogeneous systems or environments. A good practice when developing ontologies is to reuse as much knowledge as possible in order to increase interoperability by reducing heterogeneity across models and to reduce development effort. Ontology registries, indexes and catalogues facilitate the task of finding, exploring and reusing ontologies by collecting them from different sources. This paper presents an ontology catalogue for the smart cities and related domains. This catalogue is based on curated metadata and incorporates ontology evaluation features. Such catalogue represents the first approach within this community and it would be highly useful for new ontology developments or for describing and annotating existing ontologies

Developing Ontology for Malaysian Tourism

This project describes on the development of Malaysian Tourism Ontology and the importance of ontology to make knowledge assets intelligently accessible to people in organizations. Ontology is a long-lived conceptual model that can be used in multiple applications, providing good opportunities for reuse and interoperability. Ontology defines a common vocabulary for researchers who need to share information in a domain. It includes machine-interpretable definitions of basic concepts in the domain and relations among them. The purpose ontology being develops because to share the common understanding of the structure of information among people and among software agents. It can enable re-use of domain knowledge and can avoid "re-inventing the wheel". If the ontology already exists, it cut short the development part and just makes use of it. Ontology is aim to introduce standards to allow interoperability in order to create a machine readable. Moreover, ontology is used to capture knowledge, create a shared understanding between humans and for computers, make knowledge machine processable and makes meaning explicit by definition and context. Domain knowledge need to be analyzed in order to make it more meaningful and towards creating a machine readable program. This ontology is created using Protege 3.2 Beta, an integrated software tool used to develop knowledge-based system that includes a knowledge base about a domain and programs that include rules for processing the knowledge and for solving problems relating to the domain. This application is developed using Protege-3.2, an advanced technology tool use in problem solving and decision-making in a particular domain or field of knowledge

Ontology Repositories

The growing use and application of ontologies in the last years has led to an increased interest of researchers and practitioners in the development of ontologies, either from scratch o by reusing existing ones. ..