LMF Dictionary-Based Approach for Domain Ontology Generation

In this chapter, the authors propose an approach for generating domain ontologies from LMF standardized dictionaries (ISO-24613). It consists, firstly, of deriving the target ontology core systematically from the explicit information of the LMF dictionary structure. Secondly, it aims at enriching such a core, taking advantage of textual sources with guided semantic fields available in the definitions and the examples of lexical entries. The originality of this work lies not only in the use of a unique and finely-structured source containing multi-domain and lexical knowledge of morphological, syntactic, and semantic levels, lending itself to ontological interpretations, but also in providing ontological elements with linguistic grounding. In addition, the proposed approach has addressed the quality issue that is of a major importance in ontology engineering. They have integrated a validation stage along with the extraction modules in order to maintain the consistency of the generated ontologies. Furthermore, the proposed approach was applied to a case study in the field of astronomy and the experiment has been carried out on the Arabic language. This choice is explained both by the great deficiency of work on Arabic ontology development and the availability within the research team of an LMF standardized Arabic dictionary. DOI: 10.4018/978-1-4666-0188-8.ch005

[1]  Marko Grobelnik,et al.  A SURVEY OF ONTOLOGY EVALUATION TECHNIQUES , 2005 .

[2]  Martin Hepp,et al.  Reusing ontologies and language components for ontology generation , 2010, Data Knowl. Eng..

[3]  Petra Perner.  Image Mining for the Construction of Semantic-Inference Rules and for the Development of Automatic Image Diagnosis Systems , 2009 .

[4]  Dominic Widdows,et al.  A Graph Model for Unsupervised Lexical Acquisition , 2002, COLING.

[5]  Aldo Gangemi,et al.  Ontology Learning and Its Application to Automated Terminology Translation , 2003, IEEE Intell. Syst..

[6]  Yorick Wilks,et al.  Data Driven Ontology Evaluation , 2004, LREC.

[7]  Nicola Guarino,et al.  Evaluating ontological decisions with OntoClean , 2002, CACM.

[8]  Hsiao-Fan Wang.  Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery , 2008 .

[9]  Steffen Staab,et al.  Measuring Similarity between Ontologies , 2002, EKAW.

[10]  Martin Chodorow,et al.  Extracting Semantic Hierarchies from a Large On-Line Dictionary , 1985, ACL.

[11]  Philipp Cimiano,et al.  Automatic Acquisition of Ranked Qualia Structures from the Web , 2007, ACL.

[12]  Peter Spyns,et al.  Discovering Knowledge in Texts for the learning of DOGMA-inspired ontologies , 2004 .

[13]  A. Michiels,et al.  Exploiting a Large Data Base by Longman , 1980, COLING.

[14]  Ollivier Haemmerlé,et al.  Méthodologie de transformation d'un thesaurus en une ontologie de domaine , 2008, Rev. d'Intelligence Artif..

[15]  Ángel Flores,et al.  A Review of Common Problems in Linguistic Resources and a New Way to Represent Ontological Relations , 2007 .

[16]  Gio Wiederhold,et al.  Ontology Maintenance with an Algebraic Methodology: a Case Study * , 2003 .

[17]  Abdelmajid Ben Hamadou,et al.  Arabic anaphora resolution: corpora annotation with coreferential links , 2009, Int. Arab J. Inf. Technol..

[18]  Nicoletta Calzolari,et al.  Detecting Patterns in a Lexical Data Base , 1984, ACL.

[19]  Robert A. Amsler,et al.  A Taxonomy for English Nouns and Verbs , 1981, ACL.

[20]  Raphael Volz,et al.  Semi-automatic Ontology Acquisition from a Corporate Intranet , 2000 .

[21]  Patricia Ordóñez de Pablos,et al.  Knowledge Management for Competitive Advantage During Economic Crisis , 2014 .

[22]  Mauricio Barcellos Almeida.  A proposal to evaluate ontology content , 2009, Appl. Ontology.

[23]  Paul Buitelaar,et al.  Towards Linguistically Grounded Ontologies , 2009, ESWC.

[24]  Maria Teresa Pazienza,et al.  Let's talk about our "being": A linguistic-based ontology framework for coordinating agents , 2007, Appl. Ontology.

[25]  Maria Teresa Pazienza,et al.  Linguistic Watermark 3.0: An RDF Framework and a Software Library for Bridging Language and Ontologies in the Semantic Web , 2008, SWAP.

[26]  Abdelmajid Ben Hamadou,et al.  LMF Standardized Model for the Editorial Electronic Dictionaries of Arabic , 2018, NLPCS.

[27]  Marti A. Hearst.  Automatic Acquisition of Hyponyms from Large Text Corpora , 1992, COLING.

[28]  Xingquan Zhu,et al.  Knowledge Discovery and Data Mining: Challenges and Realities , 2007 .

[29]  Frehiwot Fisseha,et al.  Reengineering Thesauri for New Applications: The AGROVOC Example , 2006, J. Digit. Inf..

[30]  Takahira Yamaguchi,et al.  DODDLE II: A Domain Ontology Development Environment Using a MRD and Text Corpus , 2004, IEICE Trans. Inf. Syst..

[31]  Qin Lu,et al.  Experiments of Ontology Construction with Formal Concept Analysis , 2005, OntoLex@IJCNLP.

[32]  Massimo Poesio,et al.  Attribute-Based and Value-Based Clustering: An Evaluation , 2004, EMNLP.

[33]  Abdelmajid Ben Hamadou,et al.  Towards Generation of Domain Ontology from LMF Standardized Dictionaries , 2010, SEKE.

[34]  Yarden Katz,et al.  Pellet: A practical OWL-DL reasoner , 2007, J. Web Semant..

[35]  Eugene Charniak,et al.  Finding Parts in Very Large Corpora , 1999, ACL.

[36]  Eneko Agirre,et al.  Building Accurate Semantic Taxonomies from Monolingual MRDs , 1998, COLING-ACL.

[37]  Eric Nichols,et al.  Robust Ontology Acquisition from Machine-Readable Dictionaries , 2005, IJCAI.