Research on Efficient SPARQL Query Processing for RDF Data
- DOI
- 10.2991/iwmecs-15.2015.94How to use a DOI?
- Keywords
- SPARQL,Semantic Search,Hybrid Querying,Graph Data Indexing,Query Optimization.
- Abstract
Semantic Web can add explicit semantics to data so that machines can not only simply display these data, but also the machines can understand, process and even integrate them. In recent years, with the comprehensive development of the Linking Open Data (LOD)project and the DBpedia project, Semantic Web data sources increase significantly and a large number of graph data in form of RDF data model are published. The Web is rapidly changing from the one containing Web pages and hyper-links only (called Document Web) to a Data Web with abundant entities and rich relationships between these entities. Based on these semantic data, lots of large search engine companies like Google are building knowledge graph to improve the quality of search, which indicates that we enter into the era of semantic search.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yi Zhang PY - 2015/10 DA - 2015/10 TI - Research on Efficient SPARQL Query Processing for RDF Data BT - Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences PB - Atlantis Press SP - 472 EP - 478 SN - 2352-538X UR - https://doi.org/10.2991/iwmecs-15.2015.94 DO - 10.2991/iwmecs-15.2015.94 ID - Zhang2015/10 ER -