@inproceedings{1e3f300fc76d401c9299d6e240dc3d99,
title = "Advances in accessing big data with expressive ontologies",
abstract = "Ontology-based query answering has to be supported w.r.t. secondary memory and very expressive ontologies to meet practical requirements in some applications. Recently, advances for the expressive DL have been made in the dissertation of S. Wandelt for concept-based instance retrieval on Big Data descriptions stored in secondary memory. In this paper we extend this approach by investigating optimization algorithms for answering grounded conjunctive queries.",
author = "Ralf M{\"o}ller and Christian Neuenstadt and {\"O}z{\c c}ep, \{{\"O}zg{\"u}r L.\} and Sebastian Wandelt",
year = "2013",
doi = "10.1007/978-3-642-40942-4\_11",
language = "英语",
isbn = "9783642409417",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "118--129",
booktitle = "KI 2013",
address = "德国",
note = "36th Annual German Conference on Artificial Intelligence, KI 2013 ; Conference date: 16-09-2013 Through 20-09-2013",
}