SPHeRe is an ontology matching system that utilizes cloud infrastructure for matching large scale ontologies and focus on alignment representation to be stored in the Mediation Bridge Ontology (MBO). MBO is the mediation ontology that stores all the alignments generated between the matched ontologies and represents it in a manner that provides maximum metadata information. SPHeRe is a new initi...

Recently, the Component Based Software Development has become the main direction of software development, and with the expansion of the component library, efficient retrieval is crucial for us to improve the software development, in which the trend is semantic retrieval. The component concept ontology model and component domain ontology model this paper proposes, provide common knowledge founda...

An ontology defines a common vocabulary that facilitates the sharing of information in a domain. It includes machine-interpretable definitions of basic concepts in the domain and their relations. In the Grid environment (GE) where so many different implementations are available, the need for semantic matching based on a defined ontology becomes increasingly important. Especially for service dis...

This paper presents the results of EXONA in the Ontology Alignment Evaluation Initiative (OAEI) 2015. EXONA is an automatic instance-based ontology alignment systems in which we parse ontology as rst step. In the second step, we index instances of the rst ontology. These indexed instances will be applied for the querying phase. In the last step, our system aligns instances based by aggregating ...

We present the results obtained by the ontology matching system LogMap within the OAEI 2011 campaign. This is the first participation of LogMap in the campaign, and the results have so far been quite promising. 1 Presentation of the System The LogMap1 project started in January 2011 with the objective of developing a scalable and logic-based ontology matching system. Such system should be able ...

We present the preliminary results obtained by the ontology matching system LogMap within the OAEI 2011 campaign. This is the first participation of LogMap in the campaign, and the results have so far been quite promising. 1 Presentation of the System The LogMap project started in January 2011 with the objective of developing a scalable and logic-based ontology matching system. Such system shou...

Precision and Recall, as well as their combination in terms of FMeasure, are widely used measures in computer science and generally applied to evaluate the overall performance of ontology matchers in fully automatic, unsupervised scenarios. In this paper, we investigate the case of supervised matching, where automatically created ontology alignments are verified by an expert. We motivate and de...

In this paper we give a brief explanation of how Anchor Concept and Sub-Ontology based Ontology Matching (SOBOM) gets the alignment results at OAEI2009. SOBOM deal with the ontology from two different views: an ontology with is-a hierarchical structure ' O and an ontology with other relationships ' ' O . Firstly, from the ' O view, SOBOM starts with a set of anchor concepts provided by linguist...