{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:20:54Z","timestamp":1750306854862,"version":"3.41.0"},"reference-count":20,"publisher":"Association for Computing Machinery (ACM)","issue":"Winter","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGWEB Newsl."],"published-print":{"date-parts":[[2014,1]]},"abstract":"<jats:p>\n            A significant number of scholarly articles in computer science and other disciplines contain algorithms that provide concise descriptions for solving a wide variety of computational problems. Automatically finding and extracting these algorithms in scholarly digital documents would make possible algorithm indexing, searching, discovering, and analysis. Currently, only well known algorithms are cataloged. In order to find new and cutting-edge algorithms, a user must manually search through a large collection of scholarly documents or author homepages. In this article, we describe an initial prototype of\n            <jats:italic>AlgorithmSeer<\/jats:italic>\n            , a system for extracting, indexing, and searching for algorithms in scholarly documents. The initial system has been tested as part of the CiteSeer\n            <jats:sup>\n              <jats:italic>X<\/jats:italic>\n            <\/jats:sup>\n            digital library and search engine. Current issues and future directions, such as algorithm information extraction and classification, are also discussed.\n          <\/jats:p>","DOI":"10.1145\/2559858.2559863","type":"journal-article","created":{"date-parts":[[2014,1,21]],"date-time":"2014-01-21T13:31:00Z","timestamp":1390311060000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["\"Building a search engine for algorithms\" by Suppawong Tuarob, Prasenjit Mitra, and C. Lee Giles with Martin Vesely as coordinator"],"prefix":"10.1145","volume":"2014","author":[{"given":"Suppawong","family":"Tuarob","sequence":"first","affiliation":[{"name":"The Pennsylvania State University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prasenjit","family":"Mitra","sequence":"additional","affiliation":[{"name":"The Pennsylvania State University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C. 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ICDAR 2007. Ninth International Conference on.","volume":"1","author":"Lu X.","unstructured":"Lu , X. , Wang , J. , Mitra , P. , and Giles , C . 2007. Automatic extraction of data from 2-d plots in documents . In Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on. Vol. 1 . 188--192. Lu, X., Wang, J., Mitra, P., and Giles, C. 2007. Automatic extraction of data from 2-d plots in documents. In Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on. Vol. 1. 188--192."},{"key":"e_1_2_1_11_1","volume-title":"Technical Report 1999-66, Stanford InfoLab. November. Previous number = SIDL-WP-1999-0120.","author":"Page L.","year":"1999","unstructured":"Page , L. , Brin , S. , Motwani , R. , and Winograd , T . 1999 . The pagerank citation ranking: Bringing order to the web. Technical Report 1999-66, Stanford InfoLab. November. Previous number = SIDL-WP-1999-0120. Page, L., Brin, S., Motwani, R., and Winograd, T. 1999. The pagerank citation ranking: Bringing order to the web. Technical Report 1999-66, Stanford InfoLab. November. Previous number = SIDL-WP-1999-0120."},{"key":"e_1_2_1_12_1","unstructured":"Stewart J. G. and Callan J. 2009. Genre Oriented Summarization. Ph.D. thesis Carnegie Mellon University.  Stewart J. G. and Callan J. 2009. Genre Oriented Summarization. Ph.D. thesis Carnegie Mellon University."},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2010.03.011"},{"volume-title":"Information Computing Technology (ICCICT), 2012 International Conference on. 1--6.","author":"Tripathy A.","key":"e_1_2_1_14_1","unstructured":"Tripathy , A. , Joshi , N. , Thomas , S. , Shetty , S. , and Thomas , N . 2012. Vedd- a visual wrapper for extraction of data using dom tree. In Communication , Information Computing Technology (ICCICT), 2012 International Conference on. 1--6. Tripathy, A., Joshi, N., Thomas, S., Shetty, S., and Thomas, N. 2012. Vedd- a visual wrapper for extraction of data using dom tree. In Communication, Information Computing Technology (ICCICT), 2012 International Conference on. 1--6."},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2013.151"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2232817.2232869"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2467696.2467754"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2467696.2467706"},{"volume-title":"Proc. ASME 2013 Int. Design Engineering Technical Conf. Computers and Information in Engineering Conf. IDETC\/CIE '13","author":"Tuarob S.","key":"e_1_2_1_19_1","unstructured":"Tuarob , S. and Tucker , C. S . 2013. Fad or here to stay: Predicting product market adoption and longevity using large scale, social media data . In Proc. ASME 2013 Int. Design Engineering Technical Conf. Computers and Information in Engineering Conf. IDETC\/CIE '13 . Tuarob, S. and Tucker, C. S. 2013. Fad or here to stay: Predicting product market adoption and longevity using large scale, social media data. In Proc. ASME 2013 Int. Design Engineering Technical Conf. Computers and Information in Engineering Conf. 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