SEMWEB
2007
Springer
13 years 10 months ago
2007
Springer
A lot of alignment systems providing mappings between the concepts of two ontologies rely on an additional source, called background knowledge, represented most of the time by a th...
SEMWEB
2007
Springer
13 years 10 months ago
2007
Springer
Numerous ontology alignment algorithms have appeared in the literature in recent years, but only a few make use of the semantics enclosed within the ontologies in order to improve ...
SEMWEB
2007
Springer
13 years 10 months ago
2007
Springer
Methodologies to find and evaluate solutions for ontology matching should be centered on the practical problems to be solved. In this paper we look at matching from the perspectiv...
SEMWEB
2007
Springer
13 years 10 months ago
2007
Springer
This paper describes SODA a novel ontology alignment method for the OWL-DL format. SODA uses a new approach that consists in computing local and semantic similarities among ontolog...
SEMWEB
2007
Springer
13 years 10 months ago
2007
Springer
OntoDNA is an automated ontology mapping and merging system that utilizes unsupervised data mining methods, comprising of Formal Concept analysis (FCA), Self-Organizing map (SOM) a...
SEMWEB
2007
Springer
13 years 10 months ago
2007
Springer
Abstract Traditional ontology mapping techniques are not strictly applicable in a dynamic and distributed environment (e.g. P2P and pervasive computing) in which on-the-fly alignm...
SEMWEB
2007
Springer
13 years 10 months ago
2007
Springer
Ontology mapping is the key to data interoperability in the semantic web vision. Computing mappings is the first step to applications such as query rewriting, instance sharing, we...
SEMWEB
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. In this paper we discuss a book annotation translation application scenario that requires multi-concept alignment – where one set of concepts is aligned to another set....
SEMWEB
2007
Springer
13 years 10 months ago
2007
Springer
In this paper we present SEMA tool for the automatic mapping of ontologies. The main purpose of SEMA is to locate one to one equivalence correspondences (mappings) between elements...
SEMWEB
2007
Springer
13 years 10 months ago
2007
Springer
In this paper we propose the "Classification-Based Learning of Subsumption Relations for the Alignment of Ontologies" (CSR) method. Given a pair of concepts from two onto...