Ontology matching is the problem of determining correspondences between concepts, properties, and individuals of different heterogeneous ontologies. With this paper we present a novel probabilistic-logical framework for ontology matching based on Markov logic. We define the syntax and semantics and provide a formalization of the ontology matching problem within the framework. The approach has s...

Ontology matching is the key to data integration on the Semantic Web. Advanced ontology matching systems incorporate a variety of algorithms. However, they do not always guarantee a complete and correct alignment (set of mappings). Hence, user involvement in the matching process is essential for complex ontologies. In this paper, we explore the power of multi-linked views, where actions in one ...

Ontology matching is a complex and largely user-driven process of finding correspondences between entities belonging to different ontologies. Many algorithms have been proposed to automate the matching generation. However, they can’t be fully automated since the user input is required to accept, reject, or create new alignments or matchings. This paper extends on active learning framework for o...

This paper aims at analyzing the key trends and challenges of the ontology matching field. The main motivation behind this work is the fact that despite many component matching solutions that have been developed so far, there is no integrated solution that is a clear success, which is robust enough to be the basis for future development, and which is usable by non expert users. In this paper we...

In this paper we propose a method for automatic discovery of identity relationship Ley, M.: The DBLP Computer Science Bibliography: Evolution, Research Issues, Shvaiko, P., Euzenat, J.: A Survey of Schema-based Matching Approaches. Ontology-Based Method for Schema Matching in a Peer-to-Peer Database System. BNCOD Parallel query optimization methods and approaches: a survey. Guest Editors Ontolo...

The recent growing of the Semantic Web requires the need to cope with highly semantic heterogeneities among available ontologies. Ontology matching techniques aim to tackle this problem by establishing correspondences between ontologies’ elements. An intricate obstacle faces the ontology matching problem is its scalability against large number and large-scale ontologies. To tackle these challen...

Ontology matching receives increasing attention and gained importance in more recent applications such as ontology-based data access (OBDA). However, query answering over aligned ontologies has not been addressed by any evaluation initiative so far. A novel Ontology Alignment Evaluation Initiative (OAEI) track, Ontology Alignment for Query Answering (OA4QA), introduced in the 2014 evaluation ca...

Generic Framework. Ontology matching is the process that takes two or more ontologies to identify semantically corresponding entities across them. As the numbers of developed ontologies as well as the number of entities in each ontology are increasing, traditional approaches to ontology matching fail or are not able to scale. Therefore, there is a growing need for new matching algorithms. A com...

In the field of ontology matching, the most systematic evaluation of matching systems is established by the Ontology Alignment Evaluation Initiative (OAEI), which is an annual campaign for evaluating ontology matching systems organized by different groups of researchers. In this paper, we report on the results of an intermediary OAEI campaign called OAEI 2011.5. The evaluations of this campaign...