Name
Abstract | ||
|---|---|---|
Query answering is a key reasoning task for many ontology based applications in the Semantic Web. Unfortunately for OWL, the worst case complexity of query answering is very high. That is why, when the schema of an ontology is written in a highly expressive language like OWL 2 DL, currently used query answering systems do not find all answers to queries posed over the ontology, i.e., they are incomplete. In this paper optimizations are discussed that may make query answering over expressive languages feasible in practice. These optimizations mostly focus on the use of traditional database techniques that will be adapted to be applicable to knowledge bases. Moreover, caching techniques and a form of progressive query answering are also explored. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-21064-8_45 | ESWC (2) |
Keywords | Field | DocType |
caching technique,traditional database technique,query answering system,knowledge base,expressive language,progressive query answering,owl ontology,semantic web,query answering,key reasoning task,paper optimizations | Query optimization,Ontology (information science),Web search query,Query language,Query expansion,Information retrieval,Computer science,Web query classification,SPARQL,Web Ontology Language | Conference |
Volume | ISSN | Citations |
6644 | 0302-9743 | 2 |
PageRank | References | Authors |
0.44 | 9 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ilianna Kollia | 1 | 100 | 9.71 |