Name
Abstract | ||
|---|---|---|
With the growing amount of semantic data being published on the Web the problem of nding individuals in dierent datasets which correspond to the same entity is gaining im- portance. Given that datasets are often structured using dierent ontologies, automatic schema-matching techniques have to be utilized before proceeding with data-level align- ment. In this paper we discuss how ontology schema mis- matches inuence data-level alignment based on our rst experience with implementing a data fusion tool for a multi- ontology environment. |
Year | Venue | Keywords |
|---|---|---|
2009 | LDOW | data fusion,coreference resolution,linked data |
Field | DocType | Citations |
Ontology (information science),Ontology,Information retrieval,Computer science,Sensor fusion,Schema (psychology),Semantic data model | Conference | 6 |
PageRank | References | Authors |
0.54 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andriy Nikolov | 1 | 769 | 53.09 |
| Victoria Uren | 2 | 1184 | 78.67 |
| Enrico Motta | 3 | 4216 | 391.29 |
| Anne De Roeck | 4 | 399 | 33.61 |