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dc.contributor.authorArlitsch, Kenning
dc.contributor.authorShanks, Justin D.
dc.identifier.citationArlitsch, K., & Shanks, J. (2018). Wikipedia and Wikidata Help Search Engines Understand Your Organization: Using Semantic Web Identity to Improve Recognition and Drive Traffic. In M. Proffitt (Ed.), Leveraging Wikipedia: Connecting Communities of Knowledge. Chicago, IL: ALA Editions.en_US
dc.description.abstractSemantic Web Identity (SWI) is the condition in which search engines formally recognize entities and their relationships. Entities can be people, places, organizations, landmarks, or other “things” but in this chapter, entities will be defined as academic organizations: libraries, but also other academic units such as colleges, departments, centers, and institutes. An entity can be said to have achieved SWI if a formal display known as a Knowledge Graph Card (KC) appears for it in search engine results pages (SERP). The KC offers information about the entity directly in the search engine window, including such elements as address, phone number, hours of operation, description, link to the website, user reviews, etc. More importantly, the KC is an indicator that the search engine has achieved a machine-based comprehension of the existence and nature of the entity. With this understanding, the search engine can be more precise in its referrals and can hand off information about the entity to other semantic technologies. Far from being an end in itself, the display of an accurate and robust KC should simply be considered a positive indicator of SWI. Unfortunately, most academic organizations have not achieved SWI at this time. A search engine displays a KC when it has gathered enough verifiable facts about an entity. Search engines gather some facts organically while indexing website documents. But verifiable facts are more likely to be harvested from proprietary knowledge bases such as Google My Business, and from knowledge bases on the Linked Open Data (LOD) cloud, such as Wikipedia and Wikidata. Academic organizations have the best chance of controlling their SWI by proactively creating and curating records in these knowledge bases. This chapter will: (1) explain the significance of SWI; (2) describe a new library service developed at Montana State University that helps campus organizations implement SWI; and (3) demonstrate how SWI was successfully achieved in three case studies.en_US
dc.publisherALA Editions, the American Library Associationen_US
dc.rightsTopic of article (the “Work”): Semantic Web Identity (with Justin Shanks) Which will be published in the book “Leveraging Wikipedia: Collecting Communities of Knowledge.” Publisher will send a complimentary book to the Writer. The American Library Association (the Publisher) and the Writer agree as follows: The Writer shall hold copyright in the Work. (The Publisher shall copyright the published book, a collective work, in its name. Two years after publication, the Publisher shall license the book under the Creative Commons Attribution-NonCommercial license.) The Writer grants to the Publisher the right to print, publish, reproduce, or distribute the Work throughout the world in all means of expression by any method now known or thereafter developed, specifically electronically, and to market and sell the Work according to industry standards, including distribution through third-party database aggregators that service the library profession. The Publisher shall include the Writer’s name and institution, as appropriate, in association with the Work and in advertising and promotional materials. The Writer retains full right to use the material for library programs or to post the Work in an institutional repository or to a website. The Writer agrees not to publish the Work in any form for commercial purposes. Further, the Writer warrants that the Work (a) is the Writer’s original work and that the Writer has the full power to enter into this agreement; (b) does not infringe on the copyright or property right of another; and (c) contains no material which is obscene, libelous, defamatory, or violates another’s civil right, right of privacy, or is otherwise unlawful.en_US
dc.subjectResearch Subject Categories::SOCIAL SCIENCES::Other social sciences::Library and information scienceen_US
dc.subjectSemantic Weben_US
dc.titleWikipedia and Wikidata Help Search Engines Understand Your Organization: Using Semantic Web Identity to Improve Recognition and Drive Trafficen_US
dc.typeBook chapteren_US
mus.identifier.categorySocial Sciencesen_US
mus.relation.universityMontana State University - Bozemanen_US
mus.citation.booktitleLeveraging Wikipedia: Connecting Communities of Knowledgeen_US
mus.contributor.orcidArlitsch, Kenning|0000-0002-5919-735Xen_US
mus.contributor.orcidShanks, Justin D.|0000-0002-0587-8256en_US

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