| dc.contributor.author | Han, Yi | |
| dc.date.accessioned | 2011-09-24T10:29:04Z | |
| dc.date.available | 2011-09-24T10:29:04Z | |
| dc.date.issued | 2011 | |
| dc.identifier.uri | http://hdl.handle.net/11250/181749 | |
| dc.description | Master's thesis in Computer Science | en_US |
| dc.description.abstract | Semantic data querying has gain more attention recent years. Different technologies have been developed to carry out queries efficiently. However, most of them are focused on improving the data IO performance. This thesis presents our approach of designing an ontology querying system. The system executes query on multiple machines in parallel.
Hadoop is used as the distributed environment framework. Cascalog is used to execute queries on Hadoop. A triple store is implemented in this thesis, which supports access triples from files encoded by UTF-8 or integer encoding. The two encodings and their performance compare are provided and analyzed. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | University of Stavanger, Norway | en_US |
| dc.relation.ispartofseries | Masteroppgave/UIS-TN-IDE/2011; | |
| dc.subject | informasjonsteknologi | en_US |
| dc.subject | datateknikk | en_US |
| dc.title | Parsing and executing semantic queries in a distributed environment | en_US |
| dc.type | Master thesis | en_US |
| dc.subject.nsi | VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551 | en_US |
| dc.source.pagenumber | 61 | en_US |
