TY - GEN
T1 - Query rewriting for an incremental search in heterogeneous linked data sources
AU - Torre-Bastida, Ana I.
AU - Bermúdez, Jesús
AU - Illarramendi, Arantza
AU - Mena, Eduardo
AU - González, Marta
PY - 2013
Y1 - 2013
N2 - Nowadays, the number of linked data sources available on the Web is considerable. In this scenario, users are interested in frameworks that help them to query those heterogeneous data sources in a friendly way, so avoiding awareness of the technical details related to the heterogeneity and variety of data sources. With this aim, we present a system that implements an innovative query approach that obtains results to user queries in an incremental way. It sequentially accesses different datasets, expressed with possibly different vocabularies. Our approach enriches previous answers each time a different dataset is accessed. Mapping axioms between datasets are used for rewriting the original query and so obtaining new queries expressed with terms in the vocabularies of the target dataset. These rewritten queries may be semantically equivalent or they could result in a certain semantic loss; in this case, an estimation of the loss of information incurred is presented.
AB - Nowadays, the number of linked data sources available on the Web is considerable. In this scenario, users are interested in frameworks that help them to query those heterogeneous data sources in a friendly way, so avoiding awareness of the technical details related to the heterogeneity and variety of data sources. With this aim, we present a system that implements an innovative query approach that obtains results to user queries in an incremental way. It sequentially accesses different datasets, expressed with possibly different vocabularies. Our approach enriches previous answers each time a different dataset is accessed. Mapping axioms between datasets are used for rewriting the original query and so obtaining new queries expressed with terms in the vocabularies of the target dataset. These rewritten queries may be semantically equivalent or they could result in a certain semantic loss; in this case, an estimation of the loss of information incurred is presented.
KW - Linked Open Data Sources
KW - query rewriting
KW - Semantic Web
KW - SPARQL query
KW - vocabulary mapping
UR - http://www.scopus.com/inward/record.url?scp=84884963332&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-40769-7_2
DO - 10.1007/978-3-642-40769-7_2
M3 - Conference contribution
AN - SCOPUS:84884963332
SN - 9783642407680
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 13
EP - 24
BT - Flexible Query Answering Systems - 10th International Conference, FQAS 2013, Proceedings
T2 - 10th International Conference on Flexible Query-Answering Systems, FQAS 2013
Y2 - 18 September 2013 through 20 September 2013
ER -