Developing ArXivSI to Help Scientists to Explore the Research Papers in ArXiv

dc.audienceAudience::Science and Technology Libraries Section
dc.conference.sessionTypeScience and Technology
dc.conference.venueCape Town International Convention Centre
dc.contributor.authorZhang, Zhixiong
dc.contributor.authorQian, Li
dc.contributor.authorShi, Hongbo
dc.date.accessioned2025-09-24T08:22:24Z
dc.date.available2025-09-24T08:22:24Z
dc.date.issued2015
dc.description.abstractArXiv is an important e-print service in the fields of physics, mathematics, computer science etc. It becomes a driving force in scientific communication in those fields. But there are some weaknesses in search function and user interface provided by arXiv platform. The feature widely criticized is that arXiv search platform cannot help user to explore valuable research papers housed in arXiv in a convenient manner. ArXiv search platform just provides a simple search result set for user. It does not help user to “analyze” what is included in the result set and “reveal” some clues for user to better understand and use the search result. In order to help scientists efficiently discovery information they wanted housed in arXiv, the authors developed a system named arXiv Search Interface (arXivSI) *with the help of CUL (Cornell University Library). arXivSI is an external search system to index the metadata of papers stored in arXiv. The most obvious difference between arXivSI and arXiv search platform is that arXivSI provides a more suitable search functions with faceted search features and arXivSI provides a navigable and exploratory interface with visualization analysis features. It can help scientists to explore the research papers stored in arXiv. After arXivSI service is released publicly, it is widely used by scientists from more than 100 countries.en
dc.identifier.citation1. Zhang Zhixiong, Zhang Shanshan, Ku Liping, Li Lin. Survey and Analysis on Cognition and Using of arXiv for China Mainland Researchers. New technology of library and information services. 2014, 30(7/8): 1-8. 2. HEP - INSPIRE-HEP. http://inspirehep.net [accessed May 14, 2015] 3. The SAO/NASA Astrophysics Data System. http://adsabs.harvard.edu/ [accessed May 14, 2015] 4. Open Archives Initiative (OAI). http://arxiv.org/help/oa/index [accessed May 14, 2015] 5. Apache Solr. http://lucene.apache.org/solr/ [accessed May 14, 2015] 6. arXiv, Open Archives Initiative (OAI), http://arxiv.org/help/oa/index [accessed May 14, 2015] 7. The 1998 ACM Computing Classification System. http://www.acm.org/about/class/1998/ [accessed May 14, 2015] 8. Mathematics Subject Classification. http://www.ams.org/mathscinet/msc/msc2010.html [accessed May 14, 2015] 9. Information visualization - Wikipedia, the free encyclopedia. http://en.wikipedia.org/wiki/Information_visualization [accessed May 14, 2015] 10. D3.js - Data-Driven Documents. http://d3js.org/ [accessed May 14, 2015] 11. Sigma.js. http://sigmajs.org/ [accessed May 14, 2015]
dc.identifier.relatedurlhttp://conference.ifla.org/ifla81
dc.identifier.urihttps://repository.ifla.org/handle/20.500.14598/5496
dc.language.isoen
dc.rightsAttribution 3.0 Unported
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.subject.keywordarXiv
dc.subject.keywordarXiv Search Interface
dc.subject.keywordarXivSI
dc.subject.keywordFaceted Search
dc.subject.keywordKnowledge Exploration
dc.titleDeveloping ArXivSI to Help Scientists to Explore the Research Papers in ArXiven
dc.typeArticle
ifla.UnitSection:Science and Technology Libraries Section
ifla.oPubIdhttps://library.ifla.org/id/eprint/1137/

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