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Byline: Dimitris N. Kanellopoulos Tremendous potential for remote integration and collaboration in travel-related processes is provided by mashup web applications. Using various web applications, travellers have specific needs and experiences during the pre-purchase, purchase and post-purchase stages of various travel products. This paper proposes a conceptual framework that integrates travel-related web applications taking into account the three purchase stages. The proposed framework is generic as it can be applied to other sales domains on the web. The mashup web applications of the proposed framework assure the needs of travellers and enhance their ability on managing their web applications at each purchase stage, and thus to manage better their needs.

Byline: Dimitris N. Kanellopoulos Trying out or updating an existing learning ontology and providing evaluation tools to assess its quality are essential steps before putting an e-learning system online. Ontology evaluation is a crucial task and it is usually the output of an automatic process. This paper proposes an ontology-driven model, called Ontology-Driven model for the Evaluation of Learning Ontologies (ODELO), for the evaluation of ontologies representing learning resources with respect to syntactic, semantic, pragmatic, social and cohesion metrics. Syntax deals with the formal relations between signs (e.g., words, phrases, sentences) and the production of new ones. Semantics is the study of the relationships between the system of signs and their meanings. Pragmatics is the study of natural language understanding. Social metrics reflect the fact that software agents and ontologies coexist and communicate in communities. Ontology cohesion metrics refer to the degree of relatedness of ontology classes. ODELO is a deductive evaluation model that identifies the elements of ontological quality for learning ontologies. In this paper we propose a framework for assessing the quality of learning ontologies, which constitute the basis for intelligent educational Adaptive Hypermedia (AH) systems. We introduce a new pragmatic quality metric for assessing the quality of learning ontologies.

Byline: Dimitris N. Kanellopoulos Recently, multimedia computing turns into mobile, pervasive and context-aware. Adaptive multimedia computing is becoming the new paradigm for building complex information systems based on the use of different devices, web services and XML specifications. In dynamic environments, multimedia applications are potentially adaptive and are aware of their changing contexts. An intelligent context-aware infrastructure must be based on an appropriate context model such as to represent, manage and access context information. This paper proposes an ontology-based context model that supports context reasoning and context management for adaptive multimedia systems. The proposed model is flexible as it provides a general framework that can be applied to each multimedia application. Moreover, the model is extensible as it provides mechanisms to add new multimedia domain specifications.