Name
Abstract | ||
|---|---|---|
Usually, syntactic information of different sources does not provide enough knowledge to discover possible matchings among them Otherwise, more suitable matchings can be found by using the semantics of these sources In this way, semantic matching involves the task of finding similarities among overlapping sources by using semantic knowledge In the last years, the ontologies have emerged to represent this semantics On these lines, we introduce our ASeMatch method for semantic matching By applying several NLP tools and resources in a novel way and by using the semantic and syntactic information extracted from the ontologies, our method finds complex mappings such as 1–N and N–1 matchings. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11846406_29 | TSD |
Keywords | Field | DocType |
asematch method,syntactic information,possible matchings,different source,enough knowledge,nlp tool,suitable matchings,semantic knowledge,semantic matching method,complex mapping,semantic matching,information extraction | Ontology (information science),Semantic similarity,Semantic memory,Semantic integration,Computer science,Natural language processing,Artificial intelligence,Knowledge extraction,Semantics,Semantic computing,Semantic matching | Conference |
Volume | ISSN | ISBN |
4188 | 0302-9743 | 3-540-39090-1 |
Citations | PageRank | References |
1 | 0.36 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sandra Roger | 1 | 49 | 6.90 |
| Augustina Buccella | 2 | 1 | 0.36 |
| Alejandra Cechich | 3 | 370 | 39.34 |
| Manuel Palomar | 4 | 480 | 59.95 |