Dynamic semantic description and search methods for heterogeneous learning resources
Learning resources are massive, heterogeneous, and constantly changing. How to find the required resources quickly and accurately has become a very challenging work in the management and sharing of learning resources. According to the characteristics of learning resources, this paper proposes a prog...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2021-11-01
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| Series: | Bulletin of the Polish Academy of Sciences: Technical Sciences |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/121347/PDF/2442_BPASTS_2022_70_3.pdf |
| _version_ | 1818503639985029120 |
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| author | Xiaocong Lai Ying Pan Xueling Jiang |
| author_facet | Xiaocong Lai Ying Pan Xueling Jiang |
| author_sort | Xiaocong Lai |
| collection | DOAJ |
| description | Learning resources are massive, heterogeneous, and constantly changing. How to find the required resources quickly and accurately has become a very challenging work in the management and sharing of learning resources. According to the characteristics of learning resources, this paper proposes a progressive learning resource description model, which can describe dynamic heterogeneous resource information on a fine-grained level by using information extraction technology, then a semantic annotation algorithm is defined to calculate the semantic of learning resource and add these semantic to the description model. Moreover, a semantic search method is proposed to find the required resources, which calculate the content with the highest similarity to the user query, and then return the results in descending order of similarity. The simulation results show that the method is feasible and effective. |
| first_indexed | 2024-12-10T21:26:43Z |
| format | Article |
| id | doaj.art-7e87e1f622fc44209b24676ffcd268bb |
| institution | Directory Open Access Journal |
| issn | 2300-1917 |
| language | English |
| last_indexed | 2024-12-10T21:26:43Z |
| publishDate | 2021-11-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Bulletin of the Polish Academy of Sciences: Technical Sciences |
| spelling | doaj.art-7e87e1f622fc44209b24676ffcd268bb2022-12-22T01:32:58ZengPolish Academy of SciencesBulletin of the Polish Academy of Sciences: Technical Sciences2300-19172021-11-01703https://doi.org/10.24425/bpasts.2021.139434Dynamic semantic description and search methods for heterogeneous learning resourcesXiaocong Lai0Ying Pan1Xueling Jiang2Guangxi Key Lab of Human-machine Interaction and Intelligent Decision, Nanning Normal University, Nanning 530001, People’s Republic of ChinaGuangxi Key Lab of Human-machine Interaction and Intelligent Decision, Nanning Normal University, Nanning 530001, People’s Republic of ChinaGuangxi Key Lab of Human-machine Interaction and Intelligent Decision, Nanning Normal University, Nanning 530001, People’s Republic of ChinaLearning resources are massive, heterogeneous, and constantly changing. How to find the required resources quickly and accurately has become a very challenging work in the management and sharing of learning resources. According to the characteristics of learning resources, this paper proposes a progressive learning resource description model, which can describe dynamic heterogeneous resource information on a fine-grained level by using information extraction technology, then a semantic annotation algorithm is defined to calculate the semantic of learning resource and add these semantic to the description model. Moreover, a semantic search method is proposed to find the required resources, which calculate the content with the highest similarity to the user query, and then return the results in descending order of similarity. The simulation results show that the method is feasible and effective.https://journals.pan.pl/Content/121347/PDF/2442_BPASTS_2022_70_3.pdfheterogeneous datalearning resourcessemantic descriptionsemantic search |
| spellingShingle | Xiaocong Lai Ying Pan Xueling Jiang Dynamic semantic description and search methods for heterogeneous learning resources Bulletin of the Polish Academy of Sciences: Technical Sciences heterogeneous data learning resources semantic description semantic search |
| title | Dynamic semantic description and search methods for heterogeneous learning resources |
| title_full | Dynamic semantic description and search methods for heterogeneous learning resources |
| title_fullStr | Dynamic semantic description and search methods for heterogeneous learning resources |
| title_full_unstemmed | Dynamic semantic description and search methods for heterogeneous learning resources |
| title_short | Dynamic semantic description and search methods for heterogeneous learning resources |
| title_sort | dynamic semantic description and search methods for heterogeneous learning resources |
| topic | heterogeneous data learning resources semantic description semantic search |
| url | https://journals.pan.pl/Content/121347/PDF/2442_BPASTS_2022_70_3.pdf |
| work_keys_str_mv | AT xiaoconglai dynamicsemanticdescriptionandsearchmethodsforheterogeneouslearningresources AT yingpan dynamicsemanticdescriptionandsearchmethodsforheterogeneouslearningresources AT xuelingjiang dynamicsemanticdescriptionandsearchmethodsforheterogeneouslearningresources |