{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T16:15:57Z","timestamp":1774023357495,"version":"3.50.1"},"publisher-location":"New York, New York, USA","reference-count":14,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1145\/3184558.3186985","type":"proceedings-article","created":{"date-parts":[[2018,4,18]],"date-time":"2018-04-18T18:04:25Z","timestamp":1524074665000},"page":"227-230","source":"Crossref","is-referenced-by-count":2,"title":["Etymo"],"prefix":"10.1145","author":[{"given":"Weijian","family":"Zhang","sequence":"first","affiliation":[{"name":"University of Manchester, Manchester, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathan","family":"Deakin","sequence":"additional","affiliation":[{"name":"University of Manchester, Manchester, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicholas J.","family":"Higham","sequence":"additional","affiliation":[{"name":"University of Manchester, Manchester, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuaiqiang","family":"Wang","sequence":"additional","affiliation":[{"name":"JD.com, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","reference":[{"key":"key-10.1145\/3184558.3186985-1","unstructured":"J&#246;ran Beel and Bela Gipp. 2009. Google Scholar's Ranking Algorithm: An Introductory Overview Proceedings of the 12th International Conference on Scientometrics and Informetrics (ISSI'09), Vol. Vol. 1. ISSI, Rio de Janeiro (Brazil), 230--241."},{"key":"key-10.1145\/3184558.3186985-2","doi-asserted-by":"crossref","unstructured":"D&#225;niel Fogaras. 2003. Where to start browsing the web. In International Workshop on Innovative Internet Community Systems. Springer, 65--79.","DOI":"10.1007\/978-3-540-39884-4_6"},{"key":"key-10.1145\/3184558.3186985-3","unstructured":"Kun He, Yingru Li, Sucheta Soundarajan, and John E. Hopcroft. 2017. Hidden Community Detection in Social Networks. (Feb. 2017). deftempurl%https:\/\/arxiv.org\/abs\/1702.07462 tempurl ArXiv preprint arXiv:1702.07462."},{"key":"key-10.1145\/3184558.3186985-4","unstructured":"Jorge E. Hirsch. 2005. An Index to Quantify An Individual's Scientific Research Output. Proceedings of the National Academy of Sciences of the United States of America Vol. 102, 46 (2005), 16569. deftempurl%https:\/\/doi.org\/10.1073\/pnas.0507655102showDOItempurl"},{"key":"key-10.1145\/3184558.3186985-5","unstructured":"Jon M. Kleinberg. 1999. Authoritative Sources in a Hyperlinked Environment. J. Assoc. Comput. Mach. Vol. 46, 5 (Sept. 1999), 604--632. deftempurl%https:\/\/doi.org\/10.1145\/324133.324140showDOItempurl"},{"key":"key-10.1145\/3184558.3186985-6","unstructured":"Amy N Langville and Carl D Meyer. 2011. Google's PageRank and beyond: The science of search engine rankings. Princeton University Press."},{"key":"key-10.1145\/3184558.3186985-7","unstructured":"Quoc Le and Tomas Mikolov. 2014. Distributed Representations of Sentences and Documents Proceedings of the 31st International Conference on Machine Learning (ICML-14). 1188--1196. deftempurl%http:\/\/www.jmlr.org\/proceedings\/papers\/v32\/le14.pdf tempurl"},{"key":"key-10.1145\/3184558.3186985-8","unstructured":"Laurens van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of Machine Learning Research Vol. 9, Nov (2008), 2579--2605."},{"key":"key-10.1145\/3184558.3186985-9","doi-asserted-by":"crossref","unstructured":"Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schutze. 2008. Introduction to Information Retrieval. Cambridge University Press, Cambridge.","DOI":"10.1017\/CBO9780511809071"},{"key":"key-10.1145\/3184558.3186985-10","unstructured":"Angelo Antonio Salatino and Enrico Motta. 2016. Detection of Embryonic Research Topics by Analysing Semantic Topic Networks International Workshop on Semantic, Analytics, Visualization. Springer, 131--146."},{"key":"key-10.1145\/3184558.3186985-11","unstructured":"Bahar Sateli, Felicitas L&#246;ffler, Birgitta K&#246;nig-Ries, and Ren&#233; Witte. 2017. ScholarLens: Extracting Competences from Research Publications for the Automatic Generation of Semantic User Profiles. PeerJ Computer Science Vol. 3 (July. 2017), e121. deftempurl%https:\/\/doi.org\/10.7717\/peerj-cs.121showDOItempurl"},{"key":"key-10.1145\/3184558.3186985-12","unstructured":"Zhaowei Tan, Changfeng Liu, Yuning Mao, Yunqi Guo, Jiaming Shen, and Xinbing Wang. 2016. AceMap: A Novel Approach Towards Displaying Relationship Among Academic Literatures. In Proceedings of the 25th International Conference Companion on World Wide Web (WWW '16 Companion). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 437--442. deftempurl%https:\/\/doi.org\/10.1145\/2872518.2890514showDOItempurl"},{"key":"key-10.1145\/3184558.3186985-13","doi-asserted-by":"crossref","unstructured":"Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. 2008. Arnetminer: extraction and mining of academic social networks Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 990--998.","DOI":"10.1145\/1401890.1402008"},{"key":"key-10.1145\/3184558.3186985-14","unstructured":"Laurens Van Der Maaten. 2014. Accelerating t-SNE using tree-based algorithms. Journal of machine learning research Vol. 15, 1 (2014), 3221--3245."}],"event":{"name":"Companion of the The Web Conference 2018","location":"Lyon, France","acronym":"WWW '18","number":"2018","sponsor":["IW3C2, International World Wide Web Conference Committee","SIGWEB, ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"start":{"date-parts":[[2018,4,23]]},"end":{"date-parts":[[2018,4,27]]}},"container-title":["Companion of the The Web Conference 2018 on The Web Conference 2018  - WWW '18"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3184558.3186985","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3186985&ftid=1958118&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:08:24Z","timestamp":1750208904000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3184558.3186985"}},"subtitle":["A New Discovery Engine for AI Research"],"proceedings-subject":"The Web Conference 2018","short-title":[],"issued":{"date-parts":[[2018]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1145\/3184558.3186985","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}