Using text mining techniques for identifying research gaps and priorities: a case study of the environmental science in Iran
Abstract This study aims to observe the researchers’ behavior in Iranian scientific databases to determine the research gaps and priorities in their field of research. Text mining and natural language processing techniques were used to identify what researchers are looking for and to analyze existin...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Rabiei, Mohammad [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Anmerkung: |
© Akadémiai Kiadó, Budapest, Hungary 2016 |
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| Übergeordnetes Werk: |
Enthalten in: Scientometrics - Springer Netherlands, 1978, 110(2016), 2 vom: 03. Dez., Seite 815-842 |
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| Übergeordnetes Werk: |
volume:110 ; year:2016 ; number:2 ; day:03 ; month:12 ; pages:815-842 |
| Links: |
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| DOI / URN: |
10.1007/s11192-016-2195-8 |
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| Katalog-ID: |
OLC2033213234 |
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| 520 | |a Abstract This study aims to observe the researchers’ behavior in Iranian scientific databases to determine the research gaps and priorities in their field of research. Text mining and natural language processing techniques were used to identify what researchers are looking for and to analyze existing research works. In this paper, the information about the behavior of researchers who work in the field of environmental science and existing research works in the Iranian scientific database are processed. The search trends in all areas are evaluated by analyzing the users’ search data. The trend analysis indicates that in the period of February 2013 to July 2015, the growth of the researchers’ requests in some domains of the environment such as Industry, Training, Assessment, Material, Water and Pollution was 1.5 up to 2 times more than the overall requests. A Combination of the trend analysis and clustering of queries led to shaping four priority zones. Then, the research priorities for each environmental research area were determined. The results show that Training, Pollution, Rangeland, Management and Law are those domains in the environmental research which have the most research gaps in Iran, but there are enough research in Forest, Soil and Industry domains. At the end, we describe the steps for the implementation of a decision support system in environmental research management. Researchers, managers and policy makers can use this proposed “research demand and supply monitoring” system or RDSM to make appropriate decisions and allocate their resources more efficiently. | ||
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10.1007/s11192-016-2195-8 doi (DE-627)OLC2033213234 (DE-He213)s11192-016-2195-8-p DE-627 ger DE-627 rakwb eng 050 370 VZ 11 ssgn Rabiei, Mohammad verfasserin aut Using text mining techniques for identifying research gaps and priorities: a case study of the environmental science in Iran 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2016 Abstract This study aims to observe the researchers’ behavior in Iranian scientific databases to determine the research gaps and priorities in their field of research. Text mining and natural language processing techniques were used to identify what researchers are looking for and to analyze existing research works. In this paper, the information about the behavior of researchers who work in the field of environmental science and existing research works in the Iranian scientific database are processed. The search trends in all areas are evaluated by analyzing the users’ search data. The trend analysis indicates that in the period of February 2013 to July 2015, the growth of the researchers’ requests in some domains of the environment such as Industry, Training, Assessment, Material, Water and Pollution was 1.5 up to 2 times more than the overall requests. A Combination of the trend analysis and clustering of queries led to shaping four priority zones. Then, the research priorities for each environmental research area were determined. The results show that Training, Pollution, Rangeland, Management and Law are those domains in the environmental research which have the most research gaps in Iran, but there are enough research in Forest, Soil and Industry domains. At the end, we describe the steps for the implementation of a decision support system in environmental research management. Researchers, managers and policy makers can use this proposed “research demand and supply monitoring” system or RDSM to make appropriate decisions and allocate their resources more efficiently. Research priority Research gap Text mining Environment studies Researchers’ behavior analysis Hosseini-Motlagh, Seyyed-Mahdi aut Haeri, Abdorrahman aut Enthalten in Scientometrics Springer Netherlands, 1978 110(2016), 2 vom: 03. Dez., Seite 815-842 (DE-627)13005352X (DE-600)435652-4 (DE-576)015591697 0138-9130 nnns volume:110 year:2016 number:2 day:03 month:12 pages:815-842 https://doi.org/10.1007/s11192-016-2195-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-HSW SSG-OPC-BBI GBV_ILN_4012 AR 110 2016 2 03 12 815-842 |
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10.1007/s11192-016-2195-8 doi (DE-627)OLC2033213234 (DE-He213)s11192-016-2195-8-p DE-627 ger DE-627 rakwb eng 050 370 VZ 11 ssgn Rabiei, Mohammad verfasserin aut Using text mining techniques for identifying research gaps and priorities: a case study of the environmental science in Iran 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2016 Abstract This study aims to observe the researchers’ behavior in Iranian scientific databases to determine the research gaps and priorities in their field of research. Text mining and natural language processing techniques were used to identify what researchers are looking for and to analyze existing research works. In this paper, the information about the behavior of researchers who work in the field of environmental science and existing research works in the Iranian scientific database are processed. The search trends in all areas are evaluated by analyzing the users’ search data. The trend analysis indicates that in the period of February 2013 to July 2015, the growth of the researchers’ requests in some domains of the environment such as Industry, Training, Assessment, Material, Water and Pollution was 1.5 up to 2 times more than the overall requests. A Combination of the trend analysis and clustering of queries led to shaping four priority zones. Then, the research priorities for each environmental research area were determined. The results show that Training, Pollution, Rangeland, Management and Law are those domains in the environmental research which have the most research gaps in Iran, but there are enough research in Forest, Soil and Industry domains. At the end, we describe the steps for the implementation of a decision support system in environmental research management. Researchers, managers and policy makers can use this proposed “research demand and supply monitoring” system or RDSM to make appropriate decisions and allocate their resources more efficiently. Research priority Research gap Text mining Environment studies Researchers’ behavior analysis Hosseini-Motlagh, Seyyed-Mahdi aut Haeri, Abdorrahman aut Enthalten in Scientometrics Springer Netherlands, 1978 110(2016), 2 vom: 03. Dez., Seite 815-842 (DE-627)13005352X (DE-600)435652-4 (DE-576)015591697 0138-9130 nnns volume:110 year:2016 number:2 day:03 month:12 pages:815-842 https://doi.org/10.1007/s11192-016-2195-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-HSW SSG-OPC-BBI GBV_ILN_4012 AR 110 2016 2 03 12 815-842 |
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10.1007/s11192-016-2195-8 doi (DE-627)OLC2033213234 (DE-He213)s11192-016-2195-8-p DE-627 ger DE-627 rakwb eng 050 370 VZ 11 ssgn Rabiei, Mohammad verfasserin aut Using text mining techniques for identifying research gaps and priorities: a case study of the environmental science in Iran 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2016 Abstract This study aims to observe the researchers’ behavior in Iranian scientific databases to determine the research gaps and priorities in their field of research. Text mining and natural language processing techniques were used to identify what researchers are looking for and to analyze existing research works. In this paper, the information about the behavior of researchers who work in the field of environmental science and existing research works in the Iranian scientific database are processed. The search trends in all areas are evaluated by analyzing the users’ search data. The trend analysis indicates that in the period of February 2013 to July 2015, the growth of the researchers’ requests in some domains of the environment such as Industry, Training, Assessment, Material, Water and Pollution was 1.5 up to 2 times more than the overall requests. A Combination of the trend analysis and clustering of queries led to shaping four priority zones. Then, the research priorities for each environmental research area were determined. The results show that Training, Pollution, Rangeland, Management and Law are those domains in the environmental research which have the most research gaps in Iran, but there are enough research in Forest, Soil and Industry domains. At the end, we describe the steps for the implementation of a decision support system in environmental research management. Researchers, managers and policy makers can use this proposed “research demand and supply monitoring” system or RDSM to make appropriate decisions and allocate their resources more efficiently. Research priority Research gap Text mining Environment studies Researchers’ behavior analysis Hosseini-Motlagh, Seyyed-Mahdi aut Haeri, Abdorrahman aut Enthalten in Scientometrics Springer Netherlands, 1978 110(2016), 2 vom: 03. Dez., Seite 815-842 (DE-627)13005352X (DE-600)435652-4 (DE-576)015591697 0138-9130 nnns volume:110 year:2016 number:2 day:03 month:12 pages:815-842 https://doi.org/10.1007/s11192-016-2195-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-HSW SSG-OPC-BBI GBV_ILN_4012 AR 110 2016 2 03 12 815-842 |
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10.1007/s11192-016-2195-8 doi (DE-627)OLC2033213234 (DE-He213)s11192-016-2195-8-p DE-627 ger DE-627 rakwb eng 050 370 VZ 11 ssgn Rabiei, Mohammad verfasserin aut Using text mining techniques for identifying research gaps and priorities: a case study of the environmental science in Iran 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2016 Abstract This study aims to observe the researchers’ behavior in Iranian scientific databases to determine the research gaps and priorities in their field of research. Text mining and natural language processing techniques were used to identify what researchers are looking for and to analyze existing research works. In this paper, the information about the behavior of researchers who work in the field of environmental science and existing research works in the Iranian scientific database are processed. The search trends in all areas are evaluated by analyzing the users’ search data. The trend analysis indicates that in the period of February 2013 to July 2015, the growth of the researchers’ requests in some domains of the environment such as Industry, Training, Assessment, Material, Water and Pollution was 1.5 up to 2 times more than the overall requests. A Combination of the trend analysis and clustering of queries led to shaping four priority zones. Then, the research priorities for each environmental research area were determined. The results show that Training, Pollution, Rangeland, Management and Law are those domains in the environmental research which have the most research gaps in Iran, but there are enough research in Forest, Soil and Industry domains. At the end, we describe the steps for the implementation of a decision support system in environmental research management. Researchers, managers and policy makers can use this proposed “research demand and supply monitoring” system or RDSM to make appropriate decisions and allocate their resources more efficiently. Research priority Research gap Text mining Environment studies Researchers’ behavior analysis Hosseini-Motlagh, Seyyed-Mahdi aut Haeri, Abdorrahman aut Enthalten in Scientometrics Springer Netherlands, 1978 110(2016), 2 vom: 03. Dez., Seite 815-842 (DE-627)13005352X (DE-600)435652-4 (DE-576)015591697 0138-9130 nnns volume:110 year:2016 number:2 day:03 month:12 pages:815-842 https://doi.org/10.1007/s11192-016-2195-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-HSW SSG-OPC-BBI GBV_ILN_4012 AR 110 2016 2 03 12 815-842 |
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10.1007/s11192-016-2195-8 doi (DE-627)OLC2033213234 (DE-He213)s11192-016-2195-8-p DE-627 ger DE-627 rakwb eng 050 370 VZ 11 ssgn Rabiei, Mohammad verfasserin aut Using text mining techniques for identifying research gaps and priorities: a case study of the environmental science in Iran 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2016 Abstract This study aims to observe the researchers’ behavior in Iranian scientific databases to determine the research gaps and priorities in their field of research. Text mining and natural language processing techniques were used to identify what researchers are looking for and to analyze existing research works. In this paper, the information about the behavior of researchers who work in the field of environmental science and existing research works in the Iranian scientific database are processed. The search trends in all areas are evaluated by analyzing the users’ search data. The trend analysis indicates that in the period of February 2013 to July 2015, the growth of the researchers’ requests in some domains of the environment such as Industry, Training, Assessment, Material, Water and Pollution was 1.5 up to 2 times more than the overall requests. A Combination of the trend analysis and clustering of queries led to shaping four priority zones. Then, the research priorities for each environmental research area were determined. The results show that Training, Pollution, Rangeland, Management and Law are those domains in the environmental research which have the most research gaps in Iran, but there are enough research in Forest, Soil and Industry domains. At the end, we describe the steps for the implementation of a decision support system in environmental research management. Researchers, managers and policy makers can use this proposed “research demand and supply monitoring” system or RDSM to make appropriate decisions and allocate their resources more efficiently. Research priority Research gap Text mining Environment studies Researchers’ behavior analysis Hosseini-Motlagh, Seyyed-Mahdi aut Haeri, Abdorrahman aut Enthalten in Scientometrics Springer Netherlands, 1978 110(2016), 2 vom: 03. Dez., Seite 815-842 (DE-627)13005352X (DE-600)435652-4 (DE-576)015591697 0138-9130 nnns volume:110 year:2016 number:2 day:03 month:12 pages:815-842 https://doi.org/10.1007/s11192-016-2195-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-HSW SSG-OPC-BBI GBV_ILN_4012 AR 110 2016 2 03 12 815-842 |
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| title_sort |
using text mining techniques for identifying research gaps and priorities: a case study of the environmental science in iran |
| title_auth |
Using text mining techniques for identifying research gaps and priorities: a case study of the environmental science in Iran |
| abstract |
Abstract This study aims to observe the researchers’ behavior in Iranian scientific databases to determine the research gaps and priorities in their field of research. Text mining and natural language processing techniques were used to identify what researchers are looking for and to analyze existing research works. In this paper, the information about the behavior of researchers who work in the field of environmental science and existing research works in the Iranian scientific database are processed. The search trends in all areas are evaluated by analyzing the users’ search data. The trend analysis indicates that in the period of February 2013 to July 2015, the growth of the researchers’ requests in some domains of the environment such as Industry, Training, Assessment, Material, Water and Pollution was 1.5 up to 2 times more than the overall requests. A Combination of the trend analysis and clustering of queries led to shaping four priority zones. Then, the research priorities for each environmental research area were determined. The results show that Training, Pollution, Rangeland, Management and Law are those domains in the environmental research which have the most research gaps in Iran, but there are enough research in Forest, Soil and Industry domains. At the end, we describe the steps for the implementation of a decision support system in environmental research management. Researchers, managers and policy makers can use this proposed “research demand and supply monitoring” system or RDSM to make appropriate decisions and allocate their resources more efficiently. © Akadémiai Kiadó, Budapest, Hungary 2016 |
| abstractGer |
Abstract This study aims to observe the researchers’ behavior in Iranian scientific databases to determine the research gaps and priorities in their field of research. Text mining and natural language processing techniques were used to identify what researchers are looking for and to analyze existing research works. In this paper, the information about the behavior of researchers who work in the field of environmental science and existing research works in the Iranian scientific database are processed. The search trends in all areas are evaluated by analyzing the users’ search data. The trend analysis indicates that in the period of February 2013 to July 2015, the growth of the researchers’ requests in some domains of the environment such as Industry, Training, Assessment, Material, Water and Pollution was 1.5 up to 2 times more than the overall requests. A Combination of the trend analysis and clustering of queries led to shaping four priority zones. Then, the research priorities for each environmental research area were determined. The results show that Training, Pollution, Rangeland, Management and Law are those domains in the environmental research which have the most research gaps in Iran, but there are enough research in Forest, Soil and Industry domains. At the end, we describe the steps for the implementation of a decision support system in environmental research management. Researchers, managers and policy makers can use this proposed “research demand and supply monitoring” system or RDSM to make appropriate decisions and allocate their resources more efficiently. © Akadémiai Kiadó, Budapest, Hungary 2016 |
| abstract_unstemmed |
Abstract This study aims to observe the researchers’ behavior in Iranian scientific databases to determine the research gaps and priorities in their field of research. Text mining and natural language processing techniques were used to identify what researchers are looking for and to analyze existing research works. In this paper, the information about the behavior of researchers who work in the field of environmental science and existing research works in the Iranian scientific database are processed. The search trends in all areas are evaluated by analyzing the users’ search data. The trend analysis indicates that in the period of February 2013 to July 2015, the growth of the researchers’ requests in some domains of the environment such as Industry, Training, Assessment, Material, Water and Pollution was 1.5 up to 2 times more than the overall requests. A Combination of the trend analysis and clustering of queries led to shaping four priority zones. Then, the research priorities for each environmental research area were determined. The results show that Training, Pollution, Rangeland, Management and Law are those domains in the environmental research which have the most research gaps in Iran, but there are enough research in Forest, Soil and Industry domains. At the end, we describe the steps for the implementation of a decision support system in environmental research management. Researchers, managers and policy makers can use this proposed “research demand and supply monitoring” system or RDSM to make appropriate decisions and allocate their resources more efficiently. © Akadémiai Kiadó, Budapest, Hungary 2016 |
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Using text mining techniques for identifying research gaps and priorities: a case study of the environmental science in Iran |
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https://doi.org/10.1007/s11192-016-2195-8 |
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Hosseini-Motlagh, Seyyed-Mahdi Haeri, Abdorrahman |
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| up_date |
2024-07-03T16:09:37.889Z |
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