Pruning Concept Map to Geneate Ontology
Knowledge representation in the form of a concept map can be a good idea to categorize domain terms and their relations and help to generate ontology. Supplementing detail information to and pruning useless data from the concept map, which likes a skeleton in evolving ontology, can be semantically a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Iran Telecom Research Center
2017-03-01
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| Series: | International Journal of Information and Communication Technology Research |
| Subjects: | |
| Online Access: | http://ijict.itrc.ac.ir/article-1-49-en.html |
| _version_ | 1828039336995586048 |
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| author | Maedeh Mosharraf Fattaneh Taghiyareh |
| author_facet | Maedeh Mosharraf Fattaneh Taghiyareh |
| author_sort | Maedeh Mosharraf |
| collection | DOAJ |
| description | Knowledge representation in the form of a concept map can be a good idea to categorize domain terms and their relations and help to generate ontology. Supplementing detail information to and pruning useless data from the concept map, which likes a skeleton in evolving ontology, can be semantically accomplished using the domain knowledge. In this paper, we propose a method using structural knowledge resources as well as tacit knowledge of experts to generate the ontology of eLearning domain. The concept map of eLearning is manually improved and finally verified using the group of eLearning experts. In order to enrich the ontology with merging into upcoming terms, the paper proposed an automatic method based on two external knowledge sources, Wikipedia and WordNet. The semantic similarity of concepts which is measured using the words hierarchy of WordNet combined with relations of concepts extracted from the Wikipedia graph is applied to link the new eLearning concepts to the domain ontology. The generated ontology is a dynamic knowledge source which can improve itself gradually. This integrated knowledge of eLearning domain can be used to model educational activities and to build, organize, and update specific learning resources. |
| first_indexed | 2024-04-10T16:40:19Z |
| format | Article |
| id | doaj.art-b8336dd959ab43bf8fd9c9c4966e6594 |
| institution | Directory Open Access Journal |
| issn | 2251-6107 2783-4425 |
| language | English |
| last_indexed | 2024-04-10T16:40:19Z |
| publishDate | 2017-03-01 |
| publisher | Iran Telecom Research Center |
| record_format | Article |
| series | International Journal of Information and Communication Technology Research |
| spelling | doaj.art-b8336dd959ab43bf8fd9c9c4966e65942023-02-08T07:56:06ZengIran Telecom Research CenterInternational Journal of Information and Communication Technology Research2251-61072783-44252017-03-01915361Pruning Concept Map to Geneate OntologyMaedeh Mosharraf0Fattaneh Taghiyareh1 Knowledge representation in the form of a concept map can be a good idea to categorize domain terms and their relations and help to generate ontology. Supplementing detail information to and pruning useless data from the concept map, which likes a skeleton in evolving ontology, can be semantically accomplished using the domain knowledge. In this paper, we propose a method using structural knowledge resources as well as tacit knowledge of experts to generate the ontology of eLearning domain. The concept map of eLearning is manually improved and finally verified using the group of eLearning experts. In order to enrich the ontology with merging into upcoming terms, the paper proposed an automatic method based on two external knowledge sources, Wikipedia and WordNet. The semantic similarity of concepts which is measured using the words hierarchy of WordNet combined with relations of concepts extracted from the Wikipedia graph is applied to link the new eLearning concepts to the domain ontology. The generated ontology is a dynamic knowledge source which can improve itself gradually. This integrated knowledge of eLearning domain can be used to model educational activities and to build, organize, and update specific learning resources.http://ijict.itrc.ac.ir/article-1-49-en.htmlconcept mappruningontology generationontology enrichmentelearninggraph clusteringwikipediawordnet |
| spellingShingle | Maedeh Mosharraf Fattaneh Taghiyareh Pruning Concept Map to Geneate Ontology International Journal of Information and Communication Technology Research concept map pruning ontology generation ontology enrichment elearning graph clustering wikipedia wordnet |
| title | Pruning Concept Map to Geneate Ontology |
| title_full | Pruning Concept Map to Geneate Ontology |
| title_fullStr | Pruning Concept Map to Geneate Ontology |
| title_full_unstemmed | Pruning Concept Map to Geneate Ontology |
| title_short | Pruning Concept Map to Geneate Ontology |
| title_sort | pruning concept map to geneate ontology |
| topic | concept map pruning ontology generation ontology enrichment elearning graph clustering wikipedia wordnet |
| url | http://ijict.itrc.ac.ir/article-1-49-en.html |
| work_keys_str_mv | AT maedehmosharraf pruningconceptmaptogeneateontology AT fattanehtaghiyareh pruningconceptmaptogeneateontology |