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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Williams, K. Lichi Li Khabsa, M. Jian Wu Shih, P.C. Giles, C.L. |
| Copyright Year | 2014 |
| Description | Author affiliation: Inf. Sci. & Technol., Comput. Sci. & Eng, Pennsylvania State Univ., University Park, PA, USA (Williams, K.; Lichi Li; Khabsa, M.; Jian Wu; Shih, P.C.; Giles, C.L.) |
| Abstract | The automatic extraction of metadata and other information from scholarly documents is a common task in academic digital libraries, search engines, and document management systems to allow for the management and categorization of documents and for search to take place. A Web-accessible API can simplify this extraction by providing a single point of operation for extraction that can be incorporated into multiple document workflows without the need for each workflow to implement and support its own extraction functionality. In this paper, we describe CiteSeerExtractor, a RESTful API for scholarly information extraction that exploits the fact that there is duplication in scholarly big data and makes use of a near duplicate matching backend. The backend stores previously extracted metadata and avoids extracting metadata from a document if it has already been extracted before. We describe the design, implementation, and functionality of CiteSeerExtractor and show how the duplicate document matching results in a difference of 8.46% in the time required to extract header and citation information from approximately 3.5 million documents compared to a baseline. |
| Starting Page | 105 |
| Ending Page | 112 |
| File Size | 362147 |
| Page Count | 8 |
| File Format | |
| e-ISBN | 9781479950546 |
| DOI | 10.1109/ICWS.2014.27 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data mining Big data Web servers Information retrieval Databases Hamming distance CiteSeerExtractor Web service information extraction scholarly big data |
| Content Type | Text |
| Resource Type | Article |
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| 1 | Ministry of Education (GoI), Department of Higher Education |
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Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
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