Sammelbandbeitrag - Artikel | | Not reviewed Open Access

M-ATOLL: A Framework for the Lexicalization of Ontologies in Multiple Languages

Autor(en)
Walter, Sebastian ; Unger, Christina ; Cimiano, Philipp 0000-0002-4771-441X
Herausgeber*innen
Mika, Peter ; Tudorache, Tania ; Bernstein, Abraham ; Welty, Chris ; Knoblock, Craig ; VrandeÄiÄ, Denny ; Groth, Paul ; Noy, Natasha ; Janowicz, Krzysztof ; Goble, Carole
Titel des Sammelbandes
The Semantic Web – ISWC 2014
Verlag
Springer International Publishing 
DOI
10.1007/978-3-319-11964-9_30
ISBN-13
9783319119632
URN
urn:nbn:de:0070-pub-27071571
URL
https://pub.uni-bielefeld.de/record/2707157

Many tasks in which a system needs to mediate between natural language expressions and elements of a vocabulary in an ontology or dataset require knowledge about how the elements of the vocabulary (i.e. classes, properties, and individuals) are expressed in natural language. In a multilingual setting, such knowledge is needed for each of the supported languages. In this paper we present M-ATOLL, a framework for automatically inducing ontology lexica in multiple languages on the basis of a multilingual corpus. The framework exploits a set of language-specific dependency patterns which are formalized as SPARQL queries and run over a parsed corpus. We have instantiated the system for two languages: German and English. We evaluate it in terms of precision, recall and F-measure for English and German by comparing an automatically induced lexicon to manually constructed ontology lexica for DBpedia. In particular, we investigate the contribution of each single dependency pattern and perform an analysis of the impact of different parameters.

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