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Combining statistical and semantic approaches to the translation of ontologies and taxonomies

John P. McCrae, Mauricio Espinoza, Elena Montiel-Ponsoda, Guadalupe Aguado de Cea, Philipp Cimiano
2011 Workshop on Syntax, Semantics and Structure in Statistical Translation  
We then look to the task of leveraging these semantics for translation, which we approach in three ways: by adapting the translation system to the domain of the resource; by examining if semantics can  ...  Ontologies and taxonomies are widely used to organize concepts providing the basis for activities such as indexing, and as background knowledge for NLP tasks.  ...  Instead, in this paper we look at how we may gain an adequate translation using statistical machine translation approaches that also utilise the semantic information beyond the label or term describing  ... 
dblp:conf/ssst/McCraeEMCC11 fatcat:zjg3beqvezecppmyheeey5id2m

Ontology Learning from Text [chapter]

Alexander Maedche, Steffen Staab
2001 Lecture Notes in Computer Science  
Applications of Ontologies (adapted from [Sure 2003]) Natural Language Processing and Machine Translation, e.g. Nirenburg et al.  ...  It seems reasonable to have unified top-level ontologies for large communities of users.  ...  Some Current Work on Ontology Learning from Text Economic Univ., Prague (Kavalec and Svatek, 2005) Relation Label Extraction Extension of Association Rules Algorithm Free Univ.  ... 
doi:10.1007/3-540-45399-7_30 fatcat:4mevea3rwrecncb4haxw5uemni

Automated ontology-based customer needs translation and representation

Chen Xingyu, Chen Chun-hsien, Leong Kah Fai
2011 2011 2nd IEEE International Conference on Emergency Management and Management Sciences  
We endow the use of ontology is an efficient approach for accurate custom needs translation and representation.  ...  To solve this problem, we present a framework that automatically translates and represents customers' needs in the form of ontology in this paper.  ...  The main contribution of this paper is by combining NLP, ontology building and ontology learning for automated customer needs translation and representation.  ... 
doi:10.1109/icemms.2011.6015830 fatcat:3alcfcuf3bh77inclsuh6vsjyi

MONNET: Multilingual Ontologies for Networked Knowledge

Mihael Arcan, Paul Buitelaar
2013 Machine Translation Summit  
The Monnet project is concerned mainly with ontology localisation, i.e., the translation of the lexico-terminological level of ontologies.  ...  The project outcomes can be described as a set of software components as follows, all of which can be used in combination as well as stand-alone:  ...  of XBRL semantics in combination with multilingual ontology-lexica.  ... 
dblp:conf/mtsummit/ArcanB13 fatcat:pemyvrd3ojgllc2seengchvfci

Knowledge Portability with Semantic Expansion of Ontology Labels

Mihael Arcan, Marco Turchi, Paul Buitelaar
2015 Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)  
In both cases, we take advantage of the semantic information of the labels to select relevant bilingual data with the aim of building an ontology-specific statistical machine translation system.  ...  We evaluate our approach on the translation of a medical ontology, translating from English into German.  ...  Acknowledgments This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 (Insight) and the European Union  ... 
doi:10.3115/v1/p15-1069 dblp:conf/acl/ArcanTB15 fatcat:muvutpsemrg6npizpxiwj3icde

Web Query Processing Approaches A Survey and Comparison

M. Manikantan, S. Duraisamy
2014 International Journal of Computer Applications  
taxonomies, Web search query and search engines, Web query languages and its models, Semantic web and Ontologies, Web query optimizations on distributed web as well as on semantic web and Use of context-based  ...  Other future work will be how to use unlabeled query logs to help with query classification and also on solution to adapt the changes of the queries and categories.  ...  The user query has to be translated into terms of the Stanford-I ontology.  ... 
doi:10.5120/14893-3362 fatcat:qlux6724hfgpnof2k43dqrc5gq


Rohana Ismail, Zainab Abu Bakar, Nurazzah Abd. Rahman
2015 Jurnal Teknologi  
Ontology is able to represent knowledge from an abstract view into formal semantics.  ...  Hence, the automatic or semi-automatic ontology development which is a field of Ontology Learning is needed to efficiently extract knowledge and transform it into Ontology.  ...  This ontology contains 18 classes which 7 classes are wide and common to every field of semantics and 11 classes are specific to the semantic field of "Time".  ... 
doi:10.11113/jt.v77.6515 fatcat:jnynn2s7dvcinca6wgmvwatpaq

A synergistic strategy for combining thesaurus-based and corpus-based approaches in building ontology for multilingual search engines

Leyla Zhuhadar
2016 Figshare  
Second, term vector translation isused – a statistical multilingual text retrieval techniques that maps statistical information about termuse between languages (Ontology co-learning).  ...  A synergisticapproach between thesaurus-based approach and corpus-based approach is proposed.  ...  These are called User-generated ontologies (taxonomies) and referred to as folksonomies.  ... 
doi:10.6084/m9.figshare.3423686.v1 fatcat:h7un4wlxyfg67avecgk7ub36qu

Reuse of termino-ontological resources and text corpora for building a multilingual domain ontology: An application to Alzheimer's disease

Khadim Dramé, Gayo Diallo, Fleur Delva, Jean François Dartigues, Evelyne Mouillet, Roger Salamon, Fleur Mougin
2014 Journal of Biomedical Informatics  
This method combines two approaches: ontology learning from texts and the reuse of existing terminological resources.  ...  In this paper, we present a method for building a bilingual domain ontology from textual and termino-ontological resources intended for semantic annotation and information retrieval of textual documents  ...  Acknowledgments This work is supported by the French Fondation Plan Alzheimer and realized in collaboration with the Epidémiologie et Neuropsychologie du Vieillissement Cérébral team of the Inserm Research  ... 
doi:10.1016/j.jbi.2013.12.013 pmid:24382429 fatcat:offalcmdubfkhe5rrdi6rzfsfa

A Bayesian Network Approach to Ontology Mapping [chapter]

Rong Pan, Zhongli Ding, Yang Yu, Yun Peng
2005 Lecture Notes in Computer Science  
In this approach, the source and target ontologies are first translated into Bayesian networks (BN); the concept mapping between the two ontologies are treated as evidential reasoning between the two translated  ...  The basic ideas of this approach are validated by positive results from computer experiments on two small real-world ontologies.  ...  Acknowledgement This work was supported in part by DARPA contract F30602-97-1-0215 and NSF award IIS-0326460.  ... 
doi:10.1007/11574620_41 fatcat:e5xbwf46hnfc7fn7ymx7ymcfzi

PowerAqua: Fishing the Semantic Web [chapter]

Vanessa Lopez, Enrico Motta, Victoria Uren
2006 Lecture Notes in Computer Science  
In contrast with much existing work on ontology-driven QA, which tends to focus on the use of ontologies to support query expansion in information retrieval [5] , AquaLog exploits the availability of semantic  ...  An important feature of AquaLog is its ability to make use of generic lexical resources, such as WordNet, as well as the structure of the input ontology, to make sense of the terms and relations expressed  ...  Acknowledgements This work was partially supported by the AKT project sponsored by UK EPSRC and by the EU OpenKnowledge project (FP6-027253). Thanks to Yuangui Lei and Marta Sabou for useful input.  ... 
doi:10.1007/11762256_30 fatcat:irfijvxqanh4fooo45etiofmhq

Knowledge Management and the Semantic Web: From Scenario to Technology

P. Warren
2006 IEEE Intelligent Systems  
We must understand where in a business process we can most profitably apply the knowledge management resource and what's needed there.  ...  Ontology mediation, which allows translation between ontologies and ontology merging, will let us combine knowledge from the differing ontologies.  ...  This project also created Spectacle, a tool for visualizing ontologies, and QuizRDF, a hybrid search engine that combines the ontological and conventional approaches. 10 The Knowledge and Information  ... 
doi:10.1109/mis.2006.12 fatcat:o2ga23ejqvgqvlumcuzyaj77wm

Collaboratively built semi-structured content and Artificial Intelligence: The story so far

Eduard Hovy, Roberto Navigli, Simone Paolo Ponzetto
2013 Artificial Intelligence  
Special thanks go to Jim McManus and all reviewers who contributed valuable feedback and ensured the papers contained in this special issue were of the highest quality.  ...  Finally, we thank the Artificial Intelligence Journal Editors-in-Chief, Tony Cohn, Rina Dechter and Ray Perrault, for their continued support throughout the preparation of this special issue.  ...  In this section we look at approaches to taxonomy and ontology induction based on Wikipedia, and focus on the advantages of using semi-structured resources for this task.  ... 
doi:10.1016/j.artint.2012.10.002 fatcat:mwk5o254urb2dejsh7c224uu3q

Translating the FINREP Taxonomy using a Domain-specific Corpus

Mihael Arcan, Susan Marie Thomas, Derek De Brandt, Paul Buitelaar
2013 Machine Translation Summit  
Our research investigates the use of statistical machine translation (SMT) to translate the labels of concepts in an XBRL taxonomy. Often taxonomy concepts are given labels in only one language.  ...  Application of this approach to the translation of the FINREP taxonomy, translating from English to German, showed that it significantly outperforms SMT trained on general resources.  ...  There has been much work on converting XBRL taxonomies to ontologies (Bao et al., 2010) , so that the problem of taxonomy translation can be thought of as being the same as the problem of ontology translation  ... 
dblp:conf/mtsummit/ArcanTBB13 fatcat:anzzxtpqqzgbvl3dji3rtj33ea

Corpus-based Ontology Learning for Word Sense Disambiguation

Sin-Jae Kang
2003 Pacific Asia Conference on Language, Information and Computation  
First, we apply the previously-secured dictionary information to select the correct senses of some ambiguous words with high precision, and then use the ontology to disambiguate the remaining ambiguous  ...  This paper proposes to disambiguate word senses by corpus-based ontology learning. Our approach is a hybrid method.  ...  Acknowledgements This work was supported by the Korea Science and Engineering Foundation (KOSEF) through the Advanced Information Technology Research Center (Mac).  ... 
dblp:conf/paclic/Kang03 fatcat:z25h6pxk45e6fb5aztbdotb5mq
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