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CRCTOL: A semantic-based domain ontology learning system

Xing Jiang, Ah-Hwee Tan
2009 Journal of the American Society for Information Science and Technology  
In this paper we present a system, known as Concept-Relation-Concept Tuple-based Ontology Learning (CRCTOL), for mining ontologies automatically from domain-specific documents.  ...  As a result, the ontologies learned by CRCTOL are more concise and contain a richer semantics in terms of the range and number of semantic relations compared with alternative systems.  ...  In this paper we present a system, known as Concept-Relation-Concept Tuple-based Ontology Learning (CRCTOL) (Jiang & Tan, 2005) , for mining ontologies from domain-specific text documents.  ... 
doi:10.1002/asi.21231 fatcat:ysq47lk6yjdgdin7n6j4kce374

Harvesting Domain Specific Ontologies from Text

Hamid Mousavi, Deirdre Kerr, Markus Iseli, Carlo Zaniolo
2014 2014 IEEE International Conference on Semantic Computing  
We instead propose a new approach that automatically generates domain-specific ontologies from a small corpus of documents using deep NLP-based text-mining.  ...  Ontologies are a vital component of most knowledgebased applications, including semantic web search, intelligent information integration, and natural language processing.  ...  On the other hand, since the semantic connections are mined through a deep NLP-based technique, the system is able to generate very comprehensive ontologies from small corpora.  ... 
doi:10.1109/icsc.2014.12 dblp:conf/semco/MousaviKIZ14a fatcat:g3i76uxm6vefra2flpqq3cqnxq


Fatima N. AL-Aswadi, Huah Yong Chan, Keng Hoon Gan
2019 Zenodo  
In addition, the current ontology extraction systems have many shortcomings and drawbacks, such as using a small dataset, depending on a large amount predefined patterns to extract semantic relations,  ...  Ontology is one of the major cornerstones of representing the information in a more meaningful way on the semantic Web.  ...  of DIstributed Knowledge Acquired from TExts) [6, 7] , CRCTOL (Concept-Relation-Concept Tuple based Ontology Learning) [8] , and ProMine [9] .  ... 
doi:10.5281/zenodo.3474230 fatcat:v4butsaquvdibfhl3czv7hnimy

Extracting Semantic Concepts and Relations from Scientific Publications by Using Deep Learning [article]

Fatima N. AL-Aswadi, Huah Yong Chan, Keng Hoon Gan
2020 arXiv   pre-print
In addition, the current ontology extraction systems have many shortcomings and drawbacks, such as using a small dataset, depending on a large amount predefined patterns to extract semantic relations,  ...  Ontology is one of the major cornerstones of representing the information in a more meaningful way on the semantic Web.  ...  of DIstributed Knowledge Acquired from TExts) [6, 7] , CRCTOL (Concept-Relation-Concept Tuple based Ontology Learning) [8] , and ProMine [9] .  ... 
arXiv:2009.00331v2 fatcat:44mt63ltvbc6rez4mmv74h2wba

Ontology learning from text

Wilson Wong, Wei Liu, Mohammed Bennamoun
2012 ACM Computing Surveys  
The explosion of textual information on the Read/Write Web coupled with the increasing demand for ontologies to power the Semantic Web have made (semi-)automatic ontology learning from text a very promising  ...  Ontologies are often viewed as the answer to the need for interoperable semantics in modern information systems.  ...  CRCTOL CRCTOL [Jiang and Tan 2010] , which stands for concept-relation-concept tuple-based ontology learning, is a system initially developed in 2005 at the National Technological University of Singapore  ... 
doi:10.1145/2333112.2333115 fatcat:4uo5bazvivh3fpbxj7yf4yoe2u

Single Term Concepts from English Translated Qur'an Using Statistical Methods

Rohana Ismail, Nurazzah Abd. Rahman, Zainab Abu Bakar
2018 International Journal of Engineering & Technology  
Ontology is essential for the success of knowledge based systems because it has the opportunity to share vocabulary, integrate knowledge easily and discover new instances or relations.  ...  The ontology learning tries to extract ontological elements to support the ontology development. Concept extraction is one of the important tasks in ontology learning.  ...  Introduction In Semantic Web, ontology is important element to support the construction of formal specification of shared conceptualization for a domain.  ... 
doi:10.14419/ijet.v7i2.14.11144 fatcat:7pzhjv6vgrggllckheycccslrq

Construction and Applications of Ontology: Recent Trends

Neela J. Deshpande, Rajendra Kumbhar
2011 DESIDOC Journal of Library & Information Technology  
The purpose of ontology is to achieve inter-operability by providing a common terminology and understanding of a given domain of interest, which in turn allows for the assignment of clear meaning to learning  ...  The purpose of this paper is to make the library professionals alert about the literature published on ontology and applications of ontology.  ...  To overcome this lacuna, the authors proposed a new system for mining ontologies automatically from domain-specific documents, known as Concept-Relation-Concept Tuple-based Ontology Learning (CRCTOL).  ... 
doi:10.14429/djlit.31.2.859 fatcat:q2kkt5n5xndqfbbzuhlcnxd4za

OUP accepted manuscript

2018 Database: The Journal of Biological Databases and Curation  
Ontologies are often considered a fine source of semantics and interoperability in all artificially smart systems.  ...  Ontologies have gained a lot of popularity and recognition in the semantic web because of their extensive use in Internet-based applications.  ...  learning systems needed prior domain knowledge in form of base ontology to extract ontologies from unstructured text and (iii) the authors did not mention any automatic ontology learning system.  ... 
doi:10.1093/database/bay101 fatcat:krqzvilqpndufj36fj4wsin32i

Ontology Learning Process as a Bottom-up Strategy for Building Domain-specific Ontology from Legal Texts

Mirna El Ghosh, Hala Naja, Habib Abdulrab, Mohamad Khalil
2017 Proceedings of the 9th International Conference on Agents and Artificial Intelligence  
The knowledge structures that interest us are legal domain-specific ontologies. We will use these ontologies to build legal domain ontology for a Lebanese legal knowledge based system.  ...  There is a need to reengineer it in order to build a complete, correct and more expressive domain-specific ontology.  ...  CRCTOL is Concept-Relation-Concept tuple-based ontology learning system from domain-specific text documents.  ... 
doi:10.5220/0006188004730480 dblp:conf/icaart/GhoshNAK17 fatcat:itgy6dfs2ra2rf6ivz3p3uibyu

An Overview on Ontology Learning Tasks

Maria Josefa Somodevilla, Darnes Vilariño Ayala, Ivo Pineda
2018 Journal of Computacion y Sistemas  
Ontology Learning (OL), for the Semantic Web has become widely used for knowledge representation.  ...  Therefore, the success of the Semantic Web depends strongly on the proliferation of ontologies, which requires fast and sound ontologies engineering learning process in order to provide an efficient knowledge  ...  Ontological Engineering.  ... 
doi:10.13053/cys-22-1-2790 fatcat:t2dlvdhpfffk5ihhhhslqeumf4

Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology [chapter]

Safwan Shatnawi, Mohamed Medhat Gaber, Mihaela Cocea
2014 Lecture Notes in Computer Science  
To address this problem, we identify content-knowledge related posts using a course domain ontology and provide students with timely informative automatic feedback.  ...  Experimental results from one of the courses offered by Coursera 3 show the potential of our approach in creating a responsive learning environment.  ...  Table 1 . 1 Ontology Learning from Text System Process Domain Technique Objective Asium semi -automated Information extraction linguistics and statistics learn semantic knowledge from text Text-To-Onto  ... 
doi:10.1007/978-3-319-10840-7_4 fatcat:jsamx7myffhe7cxnrihyj4pxui

Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery

Svitlana Volkova, Doina Caragea, William H. Hsu, John Drouhard, Landon Fowles
2010 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
In general, this task can be approached by applying domainspecific ontologies, but a review of the literature shows that there is no universal dictionary, or ontology for this domain.  ...  The resulting ontology contains richer semantics compared to the manuallyconstructed ontology.  ...  By contrast with many ontology learning systems that use shallow parsing, Concept-Relation-Concept Tuple-based Ontology Learning (CRCTOL) [12] performs full-text parsing using statistical and rule-based  ... 
doi:10.1109/wi-iat.2010.152 dblp:conf/webi/VolkovaCHDF10 fatcat:4fagc24q6rc65di6kfjphkuzr4


Rohana Ismail, Zainab Abu Bakar, Nurazzah Abd. Rahman
2015 Jurnal Teknologi  
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.  ...  Current techniques employed in Ontology Learning are based on statistical and Natural Language Processing.  ...  Ontology is a way of representing knowledge in an abstract model for a certain domain with a formal semantics [5] .  ... 
doi:10.11113/jt.v77.6515 fatcat:jnynn2s7dvcinca6wgmvwatpaq

LL(O)D and NLP perspectives on semantic change for humanities research

Florentina Armaselu, Elena-Simona Apostol, Anas Fahad Khan, Chaya Liebeskind, Barbara McGillivray, Ciprian-Octavian Truică, Andrius Utka, Giedrė Valūnaitė Oleškevičienė, Marieke van Erp, Philipp Cimiano
2022 Semantic Web Journal  
The paper's aim is to provide the starting point for the construction of a workflow and set of multilingual diachronic ontologies within the humanities use case of the COST Action Nexus Linguarum, European  ...  This paper presents an overview of the LL(O)D and NLP methods, tools and data for detecting and representing semantic change, with its main application in humanities research.  ...  Acknowledgement This article is based upon work from COST Action Nexus Linguarum, European network for Web-centred linguistic data science, supported by COST (European Cooperation in Science and Technology  ... 
doi:10.3233/sw-222848 fatcat:qqbmouaquzbmtecm7bmqpofbva

Developing the Thai Regional Dialect based on Semi-automatic Technique

2019 International journal of recent technology and engineering  
To develop ontology, a semi-automatic approach was used to build domain ontology from spoken corpus in Thai dialect.  ...  This research presents the prototype of four regional dialect of Thai based on smart phone by using Ontology technique.  ...  Ontology is used to create meaningful content-oriented learning systems for learning through context related to learners' knowledge, Learning content and the learning domain for consideration the learner  ... 
doi:10.35940/ijrte.b1986.078219 fatcat:rhuiqyzvprelnf7kv56nzjkwb4
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