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M-ATOLL: A Framework for the Lexicalization of Ontologies in Multiple Languages
[chapter]
2014
Lecture Notes in Computer Science
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In this paper we present M-ATOLL, a framework for automatically inducing ontology lexica in multiple languages on the basis of a multilingual corpus. ...
In a multilingual setting, such knowledge is needed for each of the supported languages. ...
In this paper we propose a semi-automatic approach, M-ATOLL, to ontology lexicalization which induces lexicalizations from a multilingual corpus. ...
doi:10.1007/978-3-319-11964-9_30
fatcat:an4gjadcavhjlkz5mrhe5cvdte
DBlexipedia: A Nucleus for a Multilingual Lexical Semantic Web
2015
International Semantic Web Conference
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Just like DBpedia provides a hub for Semantic Web datasets, this lexicon can provide a hub for the lexical Semantic Web, an ecosystem in which ontology lexica are published, linked, and re-used across ...
What makes the exploitation of DBpedia challenging for natural language-based applications, however, is that such NLP applications require knowledge about how the ontology elements are verbalized in natural ...
Acknowledgment This work was supported by the Cluster of Excellence Cognitive Interaction Technology CITEC (EXC 277) at Bielefeld University, which is funded by the German Research Foundation (DFG). ...
dblp:conf/semweb/WalterUC15
fatcat:xeudulo7ljf4fpbfocom4d7xfu
D3.1 Research Challenge Report v1
2020
Zenodo
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Research Challenge Report v1 for Prêt-à-LLOD project ...
We have divided this task into two tools, firstly a specific tool for linking ontologies and lexicons, which will be based on previous work on M-ATOLL . ...
This will reduce the time and effort needed to build QA systems, only requiring a lemon lexicon for a given ontology. • Algorithms supporting the (semi-) automatic induction of Ontolex-Lemon lexica from ...
doi:10.5281/zenodo.5744041
fatcat:uxjwxo2sxrftxg24jv7iwksmpi
Bridging the Gap Between Ontology and Lexicon via Class-Specific Association Rules Mined from a Loosely-Parallel Text-Data Corpus
2021
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We apply our method on a loosely-parallel text-data corpus that consists of data from DBpedia and texts from Wikipedia, and evaluate and provide empirical evidence for the utility of the rules for Question ...
There is a well-known lexical gap between content expressed in the form of natural language (NL) texts and content stored in an RDF knowledge base (KB). ...
Exploiting ontology lexica for generating natural language texts from RDF data. ...
doi:10.4230/oasics.ldk.2021.33
fatcat:v3dimcw7kfgwbji72lqkc2nvfi