Name
Title | ||
|---|---|---|
Alignment: A Hybrid, Interactive And Collaborative Ontology And Entity Matching Service |
Abstract | ||
|---|---|---|
Ontology matching is an essential problem in the world of Semantic Web and other distributed, open world applications. Heterogeneity occurs as a result of diversity in tools, knowledge, habits, language, interests and usually the level of detail. Automated applications have been developed, implementing diverse aligning techniques and similarity measures, with outstanding performance. However, there are use cases where automated linking fails and there must be involvement of the human factor in order to create, or not create, a link. In this paper we present Alignment, a collaborative, system aided, interactive ontology matching platform. Alignment offers a user-friendly environment for matching two ontologies with the aid of configurable similarity algorithms. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/info9110281 | INFORMATION |
Keywords | Field | DocType |
linked data, ontology matching, SKOS, thesauri | Ontology (information science),Ontology alignment,Ontology,Use case,Information retrieval,Level of detail,Computer science,Linked data,Semantic Web,Simple Knowledge Organization System,Artificial intelligence,Machine learning | Journal |
Volume | Issue | Citations |
9 | 11 | 1 |
PageRank | References | Authors |
0.35 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sotirios Karampatakis | 1 | 2 | 2.10 |
| Charalampos Bratsas | 2 | 186 | 22.74 |
| Ondřej Zamazal | 3 | 50 | 14.82 |
| Panagiotis-Marios Filippidis | 4 | 2 | 1.76 |
| Ioannis Antoniou | 5 | 1 | 1.70 |