Information extraction from semi and unstructured data sources: a systematic literature review
Millions of structured, semi structured and unstructured documents have been produced around the globe on a daily basis. Sources of such documents are individuals as well as several research societies like IEEE, Elsevier, Springer and Wiley that we use to publish the scientific documents enormously....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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ICIC-EL Office
2020
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| Online Access: | http://eprints.uthm.edu.my/6551/1/AJ%202020%20%28348%29.pdf |
| _version_ | 1825710208910884864 |
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| author | Zaman, Gohar Mahdin, Hairulnizam Hussain, Khalid Rahman, Atta-ur- |
| author_facet | Zaman, Gohar Mahdin, Hairulnizam Hussain, Khalid Rahman, Atta-ur- |
| author_sort | Zaman, Gohar |
| collection | UTHM |
| description | Millions of structured, semi structured and unstructured documents have been produced around the globe on a daily basis. Sources of such documents are individuals as well as several research societies like IEEE, Elsevier, Springer and Wiley that we use to publish the scientific documents enormously. These documents are a huge resource of scientific knowledge for research communities and interested users around the world. However, due to their massive volume and varying document formats, search engines are facing problems in indexing such documents, thus making retrieval of information inefficient, tedious and time consuming. Information extraction from such documents is among the hottest areas of research in data/text mining. As the number of such documents is increasing tremendously, more sophisticated information extraction techniques are necessary. This research focuses on reviewing and summarizing existing state-of-theart techniques in information extraction to highlight their limitations. Consequently, the research gap is formulated for the researchers in information extraction domain. |
| first_indexed | 2024-03-05T21:54:08Z |
| format | Article |
| id | uthm.eprints-6551 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:54:08Z |
| publishDate | 2020 |
| publisher | ICIC-EL Office |
| record_format | dspace |
| spelling | uthm.eprints-65512022-03-01T01:14:12Z http://eprints.uthm.edu.my/6551/ Information extraction from semi and unstructured data sources: a systematic literature review Zaman, Gohar Mahdin, Hairulnizam Hussain, Khalid Rahman, Atta-ur- T Technology (General) Millions of structured, semi structured and unstructured documents have been produced around the globe on a daily basis. Sources of such documents are individuals as well as several research societies like IEEE, Elsevier, Springer and Wiley that we use to publish the scientific documents enormously. These documents are a huge resource of scientific knowledge for research communities and interested users around the world. However, due to their massive volume and varying document formats, search engines are facing problems in indexing such documents, thus making retrieval of information inefficient, tedious and time consuming. Information extraction from such documents is among the hottest areas of research in data/text mining. As the number of such documents is increasing tremendously, more sophisticated information extraction techniques are necessary. This research focuses on reviewing and summarizing existing state-of-theart techniques in information extraction to highlight their limitations. Consequently, the research gap is formulated for the researchers in information extraction domain. ICIC-EL Office 2020 Article PeerReviewed text en http://eprints.uthm.edu.my/6551/1/AJ%202020%20%28348%29.pdf Zaman, Gohar and Mahdin, Hairulnizam and Hussain, Khalid and Rahman, Atta-ur- (2020) Information extraction from semi and unstructured data sources: a systematic literature review. ICIC Express Letters, 14 (6). pp. 593-603. ISSN 1881-803X https://dx.doi.org/ 10.24507/icicel.14.06.593 |
| spellingShingle | T Technology (General) Zaman, Gohar Mahdin, Hairulnizam Hussain, Khalid Rahman, Atta-ur- Information extraction from semi and unstructured data sources: a systematic literature review |
| title | Information extraction from semi and unstructured data sources: a systematic literature review |
| title_full | Information extraction from semi and unstructured data sources: a systematic literature review |
| title_fullStr | Information extraction from semi and unstructured data sources: a systematic literature review |
| title_full_unstemmed | Information extraction from semi and unstructured data sources: a systematic literature review |
| title_short | Information extraction from semi and unstructured data sources: a systematic literature review |
| title_sort | information extraction from semi and unstructured data sources a systematic literature review |
| topic | T Technology (General) |
| url | http://eprints.uthm.edu.my/6551/1/AJ%202020%20%28348%29.pdf |
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