|
DDC
| 005.5 |
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Tác giả CN
| Pham, Thi Thu Thuy |
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Nhan đề
| An Improvement Method For Semantic Mapping Database To Ontology / Pham Thi Thu Thuy |
|
Mô tả vật lý
| 12 p. |
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Tóm tắt
| Enormous amount of available data in relational database (RDB) format creates a demand for automatic transforming them into Web Ontology Language (OWL) ontology to reuse in the Semantic Web Many approaches have been proposed, however, most of them simply generate output ontology as the sam flat structure with the original database and result in redundancy of ontology data. As an attempt to resolve the redundant problem we propose a novel approach to generate OWL ontology from relational database while focusing on the similarity measure of duplicate attributes in relational tables. Experimental results show that the proposed method reliably predicts semantic similarity of duplicate columns and produces a better - quality OWL ontology. |
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Từ khóa tự do
| Chương trình máy tính |
|
Từ khóa tự do
| Dữ liệu máy tính |
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Từ khóa tự do
| Mapping |
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Từ khóa tự do
| Quan hệ cơ sở dữ liệu |
|
Từ khóa tự do
| Relational database |
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Từ khóa tự do
| Similarity measure |
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Nguồn trích
| Tạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics 2018Page 187 - 198
Số: 03
Tập: 34 |
|
|
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|---|
| 001 | 21602 |
|---|
| 002 | 9 |
|---|
| 004 | 48407C58-FD6A-4C10-9E60-0F12EBC753FB |
|---|
| 005 | 202006111524 |
|---|
| 008 | 081223s vm| vie |
|---|
| 009 | 1 0 |
|---|
| 039 | |y20200611152440|zbacntp |
|---|
| 082 | |a005.5 |
|---|
| 100 | |aPham, Thi Thu Thuy |
|---|
| 245 | |aAn Improvement Method For Semantic Mapping Database To Ontology / |cPham Thi Thu Thuy |
|---|
| 300 | |a12 p. |
|---|
| 520 | |aEnormous amount of available data in relational database (RDB) format creates a demand for automatic transforming them into Web Ontology Language (OWL) ontology to reuse in the Semantic Web Many approaches have been proposed, however, most of them simply generate output ontology as the sam flat structure with the original database and result in redundancy of ontology data. As an attempt to resolve the redundant problem we propose a novel approach to generate OWL ontology from relational database while focusing on the similarity measure of duplicate attributes in relational tables. Experimental results show that the proposed method reliably predicts semantic similarity of duplicate columns and produces a better - quality OWL ontology. |
|---|
| 653 | |aChương trình máy tính |
|---|
| 653 | |aDữ liệu máy tính |
|---|
| 653 | |aMapping |
|---|
| 653 | |aQuan hệ cơ sở dữ liệu |
|---|
| 653 | |aRelational database |
|---|
| 653 | |aSimilarity measure |
|---|
| 773 | |tTạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics |d2018|gPage 187 - 198|v34|i03 |
|---|
| 890 | |c0|a0|b0|d0 |
|---|
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