We envision a publish/subscribe ontology system that is able to index millions of user subscriptions and filter them against ontology data that arrive in a streaming fashion. In this work, we propose a SPARQL extension appropriate for a publish/subscribe setting; our extension builds on the natural semantic graph matching of the language and supports the creation of full-text subscriptions. Sub...

Matching domain and top-level ontologies is an important task but still an open problem in the ontology matching field, particularly due to their different levels of abstraction. Beyond that, validating candidate alignments is crucial before exploiting them within ontology construction and integration processes involving such kinds of ontologies. This paper concerns the automatic validation of ...

In Peer Data Management Systems (PDMS), each peer is an autonomous source that makes available a local schema. Information exchange occurs through the establishment of schema mappings between local schemas. To help matters, ontologies have been considered as uniform representation of local schemas (i.e., peer ontologies). Consequently, ontology matching techniques have been used to determine sc...

Ontology matching is a critical task to enable interoperability between the numerous life sciences ontologies with overlapping domains. However, it is a task made difficult by the size of many of these ontologies. AgreementMakerLight (AML) is a scalable automated ontology matching system developed primarily for the life sciences domain. It can handle large ontologies efficiently, specializes in...

Ontology matching has become an important field of research over the last years. Although many different approaches have been proposed, only few of them are committed to a well defined semantics. As a consequence, the possibilities of reasoning are not exploited to their full extent. A reasoning based approach will not only improve ontology matching, but will also be necessary to solve certain ...

overlapping/related ontologies or schemas. • support for Semantic match approach STROMA Evaluation STROMA follows a 2-step approach to semantic matching Rahm, E.: Towards largescale schema and ontology matching. Recently large amounts of schema data, which describe data structure of various domains such as purchase order, health, publication, geography, agriculture. Increase in web and informat...

Ontology matching is an effective strategy to find the correspondences among different ontologies in a scalable and a heterogeneous semantic web. In order to find these correspondences, a matching system should be built aiming to ensure the interoperability between ontologies. POMap (Pairwise Ontology Mapping) is an automated ontology matching system dealing with the three main types of heterog...

The sense discovering step searches Swoogle [2], WordNet [3] and other ontology repositories to find ontological terms that match those keywords. The system builds a sense for each URI obtained with the information retrieved from matching terms in the ontology pool [1]. As matching terms could be ontology classes, properties or individuals, three lists of possible senses are associated with eac...

We observe the impact of ontology refactoring, based on detection of name patterns in the ontology structure, on the results of ontology matching. Results of our experiment are evaluated using novel logic-based measures accompanied by an analysis of typical effects. Although the pattern detection method only covers a fraction of ontological errors, there seems to be a measurable effect on the q...

In the context of ontology evolution, ontology population is the activity of acquiring new semantic descriptions of data extracted from heterogeneous data sources. To this end, the capability of comparing several instances extracted from different sources is crucial. In this paper, we focus on the problem of instance matching and its role for ontology population. Moreover, we present the instan...