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

Sebastian Walter, Christina Unger, Philipp Cimiano
2014 Lecture Notes in Computer Science  
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

Sebastian Walter, Christina Unger, Philipp Cimiano
2015 International Semantic Web Conference  
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

Christian Chiarcos, Philipp Cimiano, Chrisitan Fäth, Thierry Declerck, Basil Ell, Jorge Gracia, John P. McCrae, Maria Pia di Buono, Mariano Rico, Housam Ziad, Paul Buitelaar
2020 Zenodo  
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

Basil Ell, Mohammad Fazleh Elahi, Philipp Cimiano, Dagmar Gromann, Gilles Sérasset, Thierry Declerck, John P. McCrae, Jorge Gracia, Julia Bosque-Gil, Fernando Bobillo, Barbara Heinisch
2021
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