A Survey of Domain Ontology Engineering: Methods and Tools

Zouaq, Amal; Nkambou, Roger

doi:10.1007/978-3-642-14363-2_6

Cited by 41 publications

(19 citation statements)

References 42 publications

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Section: Ontology As a Way Of Domain Modeling In Itssmentioning

confidence: 99%

“…One solution is domain ontology engineering (Zouaq & Nkambou, 2010). Basically, two main advantages are involved: 1) knowledge sharing and re-use between any ontology-friendly environments, and 2) enabling knowledge extraction automatically, which is called "Ontology Learning" (Zouaq & Nkambou, 2010). It is believed ITS could benefit from an integration with the Semantic Web by better reuse of its educational components and sharing (Zouaq & Nkambou, 2010).…”

Section: Ontology As a Way Of Domain Modeling In Itssmentioning

confidence: 99%

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StaticsTutor: Free Body Diagram Tutor for Problem Framing

Guo

Gilbert

Jackman

et al. 2014

Intelligent Tutoring Systems

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Section: Ontology As a Way Of Domain Modeling In Itssmentioning

confidence: 99%

Section: Ontology As a Way Of Domain Modeling In Itssmentioning

confidence: 99%

StaticsTutor: Free Body Diagram Tutor for Problem Framing

Guo

Gilbert

Jackman

et al. 2014

Intelligent Tutoring Systems

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“…Some paper presents detailed studies on the generation of concepts and ontologies. Thus, the state of art for methods, techniques and tools to the ontologies generation is presented in [5,6,7], and in [3] it is presents a study of concepts generation focused on clustering and latent semantic.…”

Section: Related Workmentioning

confidence: 99%

Simple Method for Ontology Automatic Extraction from Documents

Novelli¹,

Oliveira²

2012

IJACSA

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Abstract-There are many situations where it is needed to represent and analyze the concepts that describe a document or a collection of documents. One of such situations is the information retrieval, which is becoming more complex by the growing number and variety of document types. One way to represent the concepts is through a formal structure using ontologies. Thus, this article presents a fast and simple method for automatic extraction of ontologies from documents or from a collections of documents that is independent of the document type and uses the junction of several theories and techniques, such as latent semantic for the extraction of initial concepts, Wordnet and similarity to obtain the correlation between the concepts.

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“…The importance of concept extraction had been widely introduced in other papers [1,2]. As a basic task for ontology construction, it had been studied for a long period, still promising result could not achieve.…”

Section: Introductionmentioning

confidence: 99%

“…Although, works done before had got a good result, two important problems had been neglected: (1). the nature of concept had not been taken into consideration comprehensively.…”

Section: Introductionmentioning

confidence: 99%

Concept Extraction Based on Hybrid Approach Combined with Semantic Analysis

Xian-ming¹,

Gan²,

Xu³

2017

dtetr

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Abstract. This paper proposed a hybrid approach for concept extraction, which combined linguistic, statistical and semantic analyses. Similar to traditional methods, linguistic and statistical analyses were reserved; this paper innovatively adopted semantic analysis to analyze the semantic relationships of concepts in order to get a fine grained result. Another creative work is the combination of several statistical approaches from different perspective to filter the candidate concepts. Experiments had shown a promising result.

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A Survey of Domain Ontology Engineering: Methods and Tools

Cited by 41 publications

References 42 publications

StaticsTutor: Free Body Diagram Tutor for Problem Framing

StaticsTutor: Free Body Diagram Tutor for Problem Framing

Simple Method for Ontology Automatic Extraction from Documents

Concept Extraction Based on Hybrid Approach Combined with Semantic Analysis

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