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Using Lexico-Syntactic Ontology Design Patterns for Ontology Creation and Population

Diana Maynard, Adam Funk, Wim Peters
2009 International Semantic Web Conference  
In this paper we discuss the use of information extraction techniques involving lexico-syntactic patterns to generate ontological information from unstructured text and either create a new ontology from  ...  We refine the patterns using a term extraction tool and some semantic restrictions derived from WordNet and VerbNet, in order to prevent the overgeneration that occurs with the use of the Ontology Design  ...  ODP Lexico-Syntactic Patterns The second type of patterns investigated was the set of Lexico-Syntactic Patterns (LSPs) corresponding to Ontology Design Patterns.  ... 
dblp:conf/semweb/MaynardFP09 fatcat:5bqwbkits5arxnuoafffzdcrre

A lexico-semantic pattern language for learning ontology instances from text

Wouter IJntema, Jordy Sangers, Frederik Hogenboom, Flavius Frasincar
2012 Journal of Web Semantics  
In this method we define a lexico-semantic pattern language that, in addition to the lexical and syntactical information present in lexico-syntactic rules, also makes use of semantic information.  ...  We show that the lexico-semantic patterns are superior to lexico-syntactic patterns with respect to efficiency and effectivity.  ...  for Algorithmic Trading (FERNAT) and the FES COMMIT Infiniti project Information Retrieval for Information Services.  ... 
doi:10.1016/j.websem.2012.01.002 fatcat:q6so5dez55fqtgabccb5lelroe

A Lexico-Semantic Pattern Language for Learning Ontology Instances from Text

Wouter IJntema, Jordy Sangers, Frederik Hogenboom, Flavius Frasincar
2012 Social Science Research Network  
In this method we define a lexico-semantic pattern language that, in addition to the lexical and syntactical information present in lexico-syntactic rules, also makes use of semantic information.  ...  We show that the lexico-semantic patterns are superior to lexico-syntactic patterns with respect to efficiency and effectivity.  ...  for Algorithmic Trading (FERNAT) and the FES COMMIT Infiniti project Information Retrieval for Information Services.  ... 
doi:10.2139/ssrn.3198966 fatcat:emikpk6klzanplghjfv42xshu4

Linguistic Patterns for Information Extraction in OntoCmaps

Amal Zouaq, Dragan Gasevic, Marek Hatala
2012 International Semantic Web Conference  
This paper presents a number of syntactic patterns, based on dependency grammars, which output triples useful for the ontology learning task.  ...  Our experimental results show that these patterns are a good starting base for text mining initiatives in general and ontology learning in particular.  ...  These patterns enable the definition of formal methodologies for ontology creation and maintenance. Of particular interest to the knowledge engineering community are Lexico-Syntactic Patterns.  ... 
dblp:conf/semweb/ZouaqGH12 fatcat:gitw7a4fsvbg7lmk2uiumpdjgm

Toward the Automation of Business Process Ontology Generation

Sergio de Cesare, Damir Juric, Mark Lycett
2014 2014 IEEE 16th Conference on Business Informatics  
This research attempts to automate the process as much as possible by proposing a method that drives the transformation through the joint use of a foundational ontology and lexico-semantic analysis.  ...  further research is required in order to reduce the level of human intervention, expand the method so as to recognise further patterns of the foundational ontology and develop a tool to assist the business  ...  of the source text: collocations, syntactic dependencies or lexico-syntactic patterns.  ... 
doi:10.1109/cbi.2014.20 dblp:conf/wecwis/CesareJL14 fatcat:emx5qcmzzbhmfimrtqd444xx4y

Ontology Population and Enrichment: State of the Art [chapter]

Georgios Petasis, Vangelis Karkaletsis, Georgios Paliouras, Anastasia Krithara, Elias Zavitsanos
2011 Lecture Notes in Computer Science  
The purpose of this chapter is to present a survey of the most relevant methods, techniques and tools used for the task of ontology learning.  ...  This breakdown of the learning process is used as a basis for the comparative analysis of existing tools and approaches.  ...  For example, KnowItAll uses domainindependent lexico-syntactic patterns, inspired by Hearst patterns [53] .  ... 
doi:10.1007/978-3-642-20795-2_6 fatcat:it6o6nsnnjhg5dzs3xglpjm6qy

Combining three Ways of Conveying Knowledge: Modularization of Domain, Terminological, and Linguistic Knowledge in Ontologies

Thierry Declerck, Dagmar Gromann
2012 International Workshop on Modular Ontologies  
This concerns the addition of terminological and linguistic information to the description of classes and properties of ontologies.  ...  To respond to this development, we propose a functional approach to the modularization of ontologies, based on terminological, linguistic, and conceptual functions each module fulfills.  ...  Especially for information extraction in combination with ontology evolution the representation of lexico-syntactic patterns is essential, such as lexicosyntactic ontology design patterns 9 and the famous  ... 
dblp:conf/womo/DeclerckG12 fatcat:bbfpvjopfjevdgs43zckiprrze

Ontology Learning: Revisited

Ahmad Abdollahzadeh Barforoush, Ali Rahnama
2012 Journal of Web Engineering  
In this paper we will review the ontology creation process with the help of ontology learning (OL) and extend our previous OL framework.  ...  And last we will define a roadmap for future work.  ...  Elena Irina Neaga from the Department of Electronic and Electrical Engineering at Loughborough University for her kind remarks, guidance and support.  ... 
dblp:journals/jwe/BarforoushR12 fatcat:me4zuwymqvcvfhiao6sg36ffwm

Concept relation extraction using Naïve Bayes classifier for ontology-based question answering systems

G. Suresh kumar, G. Zayaraz
2015 Journal of King Saud University: Computer and Information Sciences  
A set of handcoded dependency parsing pattern rules and a binary decision tree-based rule engine were developed for this purpose.  ...  In this paper, we propose a methodology to extract concept relations from unstructured text using a syntactic and semantic probability-based Naı¨ve Bayes classifier.  ...  There were a few studies that utilized lexico-syntactic patterns and lexico-semantic probabilities for automatically extracting concept relationships (Hearst, 1992 (Hearst, , 1998 from raw text.  ... 
doi:10.1016/j.jksuci.2014.03.001 fatcat:na3bz6fdsrdkvgkcqggvlyr6sa

Building Time-Affordable Cultural Ontologies Using an Emic Approach [chapter]

Jean Petit, Jean-Charles Boisson, Francis Rousseaux
2016 IFIP Advances in Information and Communication Technology  
We use lexico-semantic relation extraction as a mean to automatically elicit knowledge structures. Their formalisation is achieved through Ontology Engineering.  ...  It came out that with the lexico-semantic relation extraction technique, the best representations we can obtain are consensually-limited, incomplete and contain some errors.  ...  We want to give a special thank to Eunika Laurent-Mercier, Associated Researcher in the Research Centre Magellan, University Jean Moulin, Lyon for her support and advices.  ... 
doi:10.1007/978-3-319-55970-4_8 fatcat:wsu32bgo4jfaxghkedsq37lhqu

The Status Quo of Ontology Learning from Unstructured Knowledge Sources for Knowledge Management [chapter]

Andreas Scheuermann, Jens Obermann
2014 IFIP Advances in Information and Communication Technology  
The purposeful and systematic creation, maintenance, and transfer of unstructured knowledge sources demands for advanced Information Technology.  ...  The review results are analyzed, synthesized, and discussed to give an account of the current stateof-the-art for contributing to an enhanced understanding of ontology learning from unstructured knowledge  ...  The work presented in this paper was partly funded by the German Federal Ministry of Education and Research under the project InterLogGrid (BMBF 01IG09010E).  ... 
doi:10.1007/978-3-642-54897-0_5 fatcat:wvhiuv47pre45it4s5ltffdple

A Review on Ontology Learning Approaches of Creating a Topic Map of Cybercrime Research

Kijung Lee
2019 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY  
We address current problems of cybercrime research, review previous studies that use automated methods for topic map creation, and examine existing sets of methods for automatically extracting topic map  ...  Especially, the methods we discuss here are text mining techniques for extracting ontology components, denoted as ontology learning.  ...  Taxonomy extraction using lexico-syntactic patterns An approach of concept hierarchy formulation is based on application of lexico-syntactic patterns.  ... 
doi:10.24297/ijct.v18i0.8063 fatcat:yj32c2m2lbbvloo6mwaxkapi6q

Query-driven approach of contextual ontology module learning using web snippets

Nesrine Ben Mustapha, Marie-Aude Aufaure, Hajer Baazaoui Zghal, Henda Ben Ghezala
2013 Journal of Intelligent Information Systems  
In addition, the study of different ontology learning techniques applied to text and the web allowed us to get the following findings: – Despite of the use of lexico-syntactic patterns combined with  ...  These techniques, based on lexico-syntactic patterns learning, lead to good results for learning hyponymy relationships. Lexico-syntactic techniques were also adapted to web approaches.  ... 
doi:10.1007/s10844-013-0263-6 fatcat:4utgwwlim5ct5jbztykqvsc3u4

A lexico-syntactic Pattern Matching Method to Extract Idm- Triz Knowledge from On-line Patent Databases

Achille Souili, Denis Cavallucci, François Rousselot
2015 Procedia Engineering  
A patent document is an important source of technological knowledge where artifact evolves according to problems and partial solutions.  ...  This paper reports on an on-going research whose goal is to provide design engineer with an efficient patent mining tool that re-structures a patent corpus in a problem graph to better highlight state  ...  IDM knowledge extraction Our method is based in the use of lexico-syntactic patterns [14] to match and extract IDM knowledge from patent database. This method comes from NLP and automata theory.  ... 
doi:10.1016/j.proeng.2015.12.437 fatcat:m5rhophf25h3xne24gxwwne2sq

Populating an Allergens Ontology Using Natural Language Processing and Machine Learning Techniques [chapter]

Alexandros G. Valarakos, Vangelis Karkaletsis, Dimitra Alexopoulou, Elsa Papadimitriou, Constantine D. Spyropoulos
2005 Lecture Notes in Computer Science  
This paper presents our approach for populating a formally defined ontology for the allergen domain exploiting PubMed abstracts on allergens and using natural language processing and machine learning techniques  ...  Ontologies are becoming increasingly important in the biomedical domain since they enable the re-use and sharing of knowledge in a formal, homogeneous and unambiguous way.  ...  Brusic and his team at the Institute for Infocomm Research, Singapore, for providing the PubMed abstracts on allergens and commenting on various stages of this work.  ... 
doi:10.1007/11527770_38 fatcat:iftd6ifosfd2vodmjw75lxh6q4
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