Name
Abstract | ||
|---|---|---|
Fuzzy ontologies are envisioned to be useful in the Semantic Web. Existing fuzzy ontology reasoners are not scalable enough to handle the scale of data that the Web provides. In this paper, we propose a framework of fuzzy query languages for fuzzy ontologies, and present query answering algorithms for these query languages over fuzzy DL-Lite ontologies. Moreover, this paper reports on implementation of our approach in the fuzzy DL-Lite query engine in the ONTOSEARCH2 system and preliminary, but encouraging, benchmarking results. To the best of our knowledge, this is the first ever scalable query engine for fuzzy ontologies. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1367497.1367575 | WWW |
Keywords | Field | DocType |
query language,fuzzy dl-lite query engine,scalable querying service,scalable query engine,present query answering algorithm,fuzzy dl-lite ontology,fuzzy ontology,paper report,fuzzy ontology reasoner,semantic web,fuzzy query language | Query optimization,Web search query,Data mining,RDF query language,Query language,Query expansion,Information retrieval,Computer science,Fuzzy logic,Sargable,Web query classification | Conference |
Citations | PageRank | References |
41 | 1.66 | 25 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeff Z. Pan | 1 | 2218 | 158.01 |
| Giorgos Stamou | 2 | 1200 | 76.88 |
| Giorgos Stoilos | 3 | 1241 | 67.47 |
| Stuart Taylor | 4 | 41 | 1.66 |
| Edward Thomas | 5 | 171 | 9.54 |