Difference between revisions of "Research Area Classification Using Wikipedia and Information Retrieval"
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| + | | title = Research Area Classification Using Wikipedia and Information Retrieval | ||
| + | | date = 2017 | ||
| + | | authors = [[Hailah Al-Ballaa]]<br />[[Hmood Al-Dossari]]<br />[[Abdulrahman A. Mirza]] | ||
| + | | doi = 10.1145/3109761.3158375 | ||
| + | | link = https://doi.acm.org/10.1145/3109761.3158375 | ||
| + | }} | ||
'''Research Area Classification Using Wikipedia and Information Retrieval''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Hailah Al-Ballaa]], [[Hmood Al-Dossari]] and [[Abdulrahman A. Mirza]]. | '''Research Area Classification Using Wikipedia and Information Retrieval''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Hailah Al-Ballaa]], [[Hmood Al-Dossari]] and [[Abdulrahman A. Mirza]]. | ||
== Overview == | == Overview == | ||
The research areas 1 of researchers can be identified using their publication that reflects their current interest. However, the full text of these publications is not always available. Other data regarding these publications, such as titles, are available in many bibliographic databases, but these data are usually short, sparse, and multidimensional. In this paper, authors propose an approach for identifying the research areas of faculty members using some of their publication, [[information retrieval]] and [[Wikipedia]] content. Wikipedia is one of the largest encyclopedias to date. It is collaboratively written and kept up to date. A prototype system was implemented and evaluated using real data. Accuracy of 89.3% was achieved. The results are encouraging and show that keywords achieve the highest accuracy in identifying research areas. | The research areas 1 of researchers can be identified using their publication that reflects their current interest. However, the full text of these publications is not always available. Other data regarding these publications, such as titles, are available in many bibliographic databases, but these data are usually short, sparse, and multidimensional. In this paper, authors propose an approach for identifying the research areas of faculty members using some of their publication, [[information retrieval]] and [[Wikipedia]] content. Wikipedia is one of the largest encyclopedias to date. It is collaboratively written and kept up to date. A prototype system was implemented and evaluated using real data. Accuracy of 89.3% was achieved. The results are encouraging and show that keywords achieve the highest accuracy in identifying research areas. | ||
Revision as of 08:38, 25 October 2019
Authors | Hailah Al-Ballaa Hmood Al-Dossari Abdulrahman A. Mirza |
|---|---|
Publication date | 2017 |
DOI | 10.1145/3109761.3158375 |
Links | Original |
Research Area Classification Using Wikipedia and Information Retrieval - scientific work related to Wikipedia quality published in 2017, written by Hailah Al-Ballaa, Hmood Al-Dossari and Abdulrahman A. Mirza.
Overview
The research areas 1 of researchers can be identified using their publication that reflects their current interest. However, the full text of these publications is not always available. Other data regarding these publications, such as titles, are available in many bibliographic databases, but these data are usually short, sparse, and multidimensional. In this paper, authors propose an approach for identifying the research areas of faculty members using some of their publication, information retrieval and Wikipedia content. Wikipedia is one of the largest encyclopedias to date. It is collaboratively written and kept up to date. A prototype system was implemented and evaluated using real data. Accuracy of 89.3% was achieved. The results are encouraging and show that keywords achieve the highest accuracy in identifying research areas.
