Name
Abstract | ||
|---|---|---|
Ontologies are being used in order to define common vocabularies to describe the elements of schemas involved in a particular application. The problem of finding correspondences between ontologies concepts, called ontology matching, consists in the discovery of correspondences between terms of vocabularies (represented by ontologies) used by various applications. The majority of solutions proposed in the literature, despite being fully automatic, has heuristic nature and may produce non-satisfactory results. The problem intensifies when dealing with large data sources. The goal of this paper is to propose a method for generation and incremental refinement of correspondences between ontologies. The proposed approach uses filtering techniques, as well as user feedback to support the generation and refinement of such matches. For validation purposes, a tool was developed and some experiments were conducted. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2095536.2095607 | iiWAS |
Keywords | Field | DocType |
incremental refinement,heuristic nature,non-satisfactory result,particular application,ontology matching,ontology matching approach,large data source,common vocabulary,problem intensifies,ontologies concept,ontologies,filtering | Ontology (information science),Data mining,Ontology alignment,Heuristic,Process ontology,Information retrieval,Computer science,Filter (signal processing),Schema (psychology),Database | Conference |
Citations | PageRank | References |
1 | 0.36 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando Wagner | 1 | 1 | 0.36 |
| José Antônio Fernandes de Macêdo | 2 | 465 | 51.40 |
| Bernadette Lóscio | 3 | 1 | 0.36 |