Victor Shafran

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Schema and ontology matching is a process of establishing correspondences between schema attributes and ontology concepts, for the purpose of data integration. Various commercial and academic tools have been developed to support this task. These tools provide impressive results on some datasets. However , as the matching is inherently uncertain, the(More)
Given a schema and a set of concepts, representative of entities in the domain of discourse, schema cover defines correspondences between concepts and parts of the schema. Schema cover aims at interpreting the schema in terms of concepts and thus, vastly simplifying the task of schema integration. In this work we investigate two properties of schema cover,(More)
Sentiment analysis (SA) is a central component in industrial text analytic solutions enabling the automatic detection of customers opinions regarding products and services. However, even though state-of-the-art techniques achieve a very high level of accuracy on written texts, these techniques perform significantly worse on spoken conversation which is(More)
Sophisticated engineering environments for modern business solutions need to combine several specialized techniques in order to meet the growing industrial requirements. Integrated and extensible technology platforms appear to be suitable for this, which however become complex and hence are difficult to use. This paper presents a tool-supported methodology(More)
Matchmaking is the process of introducing two or more agents to each other. Current matchmaking techniques are unidirectional and fail to address large-scale and highly dynamic systems with time constraints. We propose a new distributed technique which scales well, and still maintains relatively low matchmaking time and communication overhead. Our technique(More)
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