TY - GEN
T1 - Towards scalable instance retrieval over ontologies
AU - Kaplunova, Alissa
AU - Möller, Ralf
AU - Wandelt, Sebastian
AU - Wessel, Michael
PY - 2010
Y1 - 2010
N2 - In this paper, we consider the problem of query answering over large multimedia ontologies. Traditional reasoning systems may have problems to deal with large amounts of expressive ontological data (terminological as well as assertional data) that usually must be kept in main memory. We propose to overcome this problem with a new so-called filter and refine paradigm for ontology-based query answering. The contribution of this paper is twofold: (1) For both steps, algorithms are presented. (2) We evaluate our approach on real world multimedia ontologies from the BOEMIE project.
AB - In this paper, we consider the problem of query answering over large multimedia ontologies. Traditional reasoning systems may have problems to deal with large amounts of expressive ontological data (terminological as well as assertional data) that usually must be kept in main memory. We propose to overcome this problem with a new so-called filter and refine paradigm for ontology-based query answering. The contribution of this paper is twofold: (1) For both steps, algorithms are presented. (2) We evaluate our approach on real world multimedia ontologies from the BOEMIE project.
UR - https://www.scopus.com/pages/publications/78049386128
U2 - 10.1007/978-3-642-15280-1_40
DO - 10.1007/978-3-642-15280-1_40
M3 - 会议稿件
AN - SCOPUS:78049386128
SN - 3642152791
SN - 9783642152795
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 436
EP - 448
BT - Knowledge Science, Engineering and Management - 4th International Conference, KSEM 2010, Proceedings
T2 - 4th International Conference on Knowledge Science, Engineering and Management, KSEM 2010
Y2 - 1 September 2010 through 3 September 2010
ER -