Abstract. Spoken audio is an important source of information available to knowledge extraction and management systems. Organization of spoken messages by priority and content can f...
Multi-agent reinforcement learning (MARL) is an emerging area of research. However, it lacks two important elements: a coherent view on MARL, and a well-defined problem objective. ...
In: Proceedings of the Eleventh International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA-04), Springer-Verlag LNAI Series. c 2004 We present ...
Nowadays, many real problem in Artificial Intelligence can be modeled as constraint satisfaction problems (CSPs). A general rule in constraint satisfaction is to tackle the hardes...
The ability to automatically compose web services, and to monitor their execution, is an essential step to substantially decrease time and costs in the development, integration, a...
Marco Pistore, Fabio Barbon, Piergiorgio Bertoli, ...
Existing efforts on ontology mapping, alignment and merging vary from methodological and theoretical frameworks, to methods and tools that support the semi-automatic coordination o...
Konstantinos Kotis, George A. Vouros, Kostas Sterg...
PubMiner, an intelligent machine learning based text mining system for mining biological information from the literature is introduced. PubMiner utilize natural language processing...
Abstract. The problem of finding an agreement on the meaning of heterogeneous schemas is one of the key issues in the development of the Semantic Web. In this paper, we propose a ...
Internet content today is about 80% text-based. No matter static or dynamic, the information is encoded and presented as multilingual, unstructured natural language text pages. As ...
Pavlin Dobrev, Albena Strupchanska, Galia Angelova
The reward-based autobiographical memory approach has been applied to the Web search agent. The approach is based on the analogy between the Web and the environmental exploration b...
Maya Dimitrova, Emilia I. Barakova, Tino Lourens, ...