Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
A Novel Algorithm for Matching Conceptual and Related Graphs
ICCS '95 Proceedings of the Third International Conference on Conceptual Structures: Applications, Implementation and Theory
Conceptual Graph Matching for Semantic Search
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
How to make a semantic web browser
Proceedings of the 13th international conference on World Wide Web
Semantically enriched web services for the travel industry
ACM SIGMOD Record
Semantic Web Services, Processes and Applications (Semantic Web and Beyond: Computing for Human Experience)
Harmonise: A Step Toward an Interoperable E-Tourism Marketplace
International Journal of Electronic Commerce
Covering the semantic space of tourism: an approach based on modularized ontologies
Proceedings of the 1st Workshop on Context, Information and Ontologies
Sem-Fit: A semantic based expert system to provide recommendations in the tourism domain
Expert Systems with Applications: An International Journal
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Tourism service providers are more and more under pressure to offer products of greater complexity and diversity to meet the ever-changing demands of travelers; the individualistic consumption patterns and lifestyles makes it increasingly difficult for tourist service providers to anticipate consumer behavior and configure their services accordingly, i.e. the tourist industry must focus more on a "hybrid consumer" whose travel choice will be more complex. Although current online travel systems aim to support the customer in finding a suitable hotel or even a whole trip, most of the work is still up to the customer, who has to consider several sources of information before deciding which hotel to book. Furthermore, since the quality of a hotel room w.r.t the requirements of the end-user are multi-dimensional and cannot be easily expressed on discrete scales, the main critical issue in such cases is a price/benefit ratio which is defined by what is known, as the "best" booking. To tackle these problems an advanced search technology that considers the ratio and ranks results accordingly to the user requirements is needed. In this paper we propose a framework which uses Semantic Web technologies for an improved exploration and rating of hotels for business customers in order to reduce the search time and costs, which, in turn, results in a huge benefit for the end-users. The framework provides methods for modeling domain specific expert knowledge and integration of diverse heterogeneous data sources. Semantic technologies enable business customer to formalize their requirements and to combine those requirements with aggregated hotel information like location or features, thus achieving a selection of the hotels ranked according to the customer's requirements.