Semantic Web Services and Matchmaking

Semantic annotation of existing web services comprises a fundamental requirement for enabling more efficient and accurate search and discovery of services on the semantic web ecosystem. In order to efficiently deal with the growing presence of web services, more automated mechanisms are required, because manual semantic annotation is a long, tedious and error-prone process, based on subjective and monolithic knowledge. Research in this area includes the development of more efficient mechanisms for automatic semantic annotation of web services and their structural elements into appropriate ontological representation schemes, by the combination of various techniques, such as machine learning, lexicographic analysis, and graph matching.

CityStateToZipCodeMatcher

 

Relevant Projects: S-CASE, OASIS, Cloud4ALL

Relevant Publications:

  1. Andrés Iglesias-Pérez, Claudia Loitsch, Nikolaos Kaklanis, Konstantinos Votis, Andreas Stiegler, Konstantinos Kalogirou, Guillem Serra-Autonell, Dimitrios Tzovaras, Gerhard Weber, "Accessibility through Preferences: 
Context-Aware Recommender of Settings", HCI International 2014, 22-27 June 2014, Creta Maris, Heraklion, Crete, Greece [accepted]
  2. Claudia Loitsch, Andreas Stiegler, Christophe Strobbe, Dimitrios Tzovaras, Konstantinos Votis, Gerhard Weber and Gottfried Zimmermann, "Improving Accessibility by Matching User Needs and Preferences", AAATE 2013, 19-22 September, 2013, Vilamoura, Algarve, Portugal

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