@inproceedings{04ec90ff3adc40d8bfcda448c2cdd298,
title = "Relationship-based top-k concept retrieval for ontology search",
abstract = "With the recent growth of Linked Data on the Web there is an increased need for knowledge engineers to find ontologies to describe their data. Only limited work exists that addresses the problem of searching and ranking ontologies based on a given query term. In this paper we introduce DWRank, a two-staged bi-directional graph walk ranking algorithm for concepts in ontologies. We apply this algorithm on the task of searching and ranking concepts in ontologies and compare it with state-of-the-art ontology ranking models and traditional information retrieval algorithms such as PageRank and tf-idf. Our evaluation shows that DWRank significantly outperforms the best ranking models on a benchmark ontology collection for the majority of the sample queries defined in the benchmark.",
author = "Butt, {Anila Sahar} and Armin Haller and Lexing Xie",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 19th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2014 ; Conference date: 24-11-2014 Through 28-11-2014",
year = "2014",
doi = "10.1007/978-3-319-13704-9_37",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "485--502",
editor = "Krzysztof Janowicz and Stefan Schlobach and Patrick Lambrix and Eero Hyv{\"o}nen",
booktitle = "Knowledge Engineering and Knowledge Management - 19th International Conference, EKAW 2014, Proceedings",
address = "Germany",
}