@inproceedings{57a9ad4291e846139e8a6b245c32c9e7,
title = "Towards extracting ontology excerpts",
abstract = "In the presence of an ever growing amount of information, organizations and human users need to be able to focus on certain key pieces of information and to intentionally ignore all other possibly relevant parts. Knowledge about complex systems that is represented in ontologies yields collections of axioms that are too large for human users to browse, let alone to comprehend or reason about it. We introduce the notion of an ontology excerpt as being a fixed-size subset of an ontology, consisting of the most relevant axioms for a given set of terms. These axioms preserve as much as possible the knowledge about the considered terms described in the ontology. We consider different extraction techniques for ontology excerpts based on methods from the area of information retrieval. To evaluate these techniques, we propose to measure the degree of incompleteness of the resulting excerpts using the notion of logical difference.",
author = "Jieying Chen and Michel Ludwig and Yue Ma and Dirk Walther",
year = "2015",
doi = "10.1007/978-3-319-25159-2_7",
language = "English",
isbn = "9783319251585",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "78--89",
editor = "Z. Zhang and S. Zhang and M. Wirsing",
booktitle = "Knowledge Science, Engineering and Management - 8th International Conference, KSEM 2015, Proceedings",
note = "8th International Conference on Knowledge Science, Engineering and Management, KSEM 2015 ; Conference date: 28-10-2015 Through 30-10-2015",
}