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Semantic Web
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==== Tags and identifiers ==== [[Tag (metadata)|Tag]]s, including hierarchical categories and tags that are collaboratively added and maintained (e.g. with [[folksonomy|folksonomies]]) can be considered part of, of potential use to or a step towards the semantic Web vision.<ref>{{cite web |title=Towards the Semantic Web: Collaborative Tag Suggestions |url=https://www.ambuehler.ethz.ch/CDstore/www2006/www.rawsugar.com/www2006/13.pdf}}</ref><ref>{{cite book |last1=Specia |first1=Lucia |last2=Motta |first2=Enrico |title=The Semantic Web: Research and Applications |chapter=Integrating Folksonomies with the Semantic Web |series=Lecture Notes in Computer Science |date=2007 |volume=4519 |pages=624β639 |doi=10.1007/978-3-540-72667-8_44 |publisher=Springer |isbn=978-3-540-72666-1 |language=en|doi-access=free }}</ref><ref>{{cite web |title=Bridging the gap between folksonomies and the semantic web: an experience report |url=http://oro.open.ac.uk/23608/4/semnet2007.pdf}}</ref> Unique [[identifier]]s, including hierarchical categories and collaboratively added ones, analysis tools and [[metadata]], including tags, can be used to create forms of semantic webs β webs that are to a certain degree semantic<!-- (often also available on the Web)-->.<ref>{{cite journal |last1=Nicholson |first1=Josh M. |last2=Mordaunt |first2=Milo |last3=Lopez |first3=Patrice |last4=Uppala |first4=Ashish |last5=Rosati |first5=Domenic |last6=Rodrigues |first6=Neves P. |last7=Grabitz |first7=Peter |last8=Rife |first8=Sean C. |title=scite: A smart citation index that displays the context of citations and classifies their intent using deep learning |journal=Quantitative Science Studies |date=5 November 2021 |volume=2 |issue=3 |pages=882β898 |doi=10.1162/qss_a_00146|doi-access=free }}</ref> In particular, such has been used for structuring scientific research i.a. by research topics and [[branches of science|scientific fields]] by the projects [[OpenAlex]],<ref>{{cite news |last1=Singh Chawla |first1=Dalmeet |title=Massive open index of scholarly papers launches |url=https://www.nature.com/articles/d41586-022-00138-y |access-date=14 February 2022 |journal=[[Nature (journal)|Nature]] |date=24 January 2022 |language=en |doi=10.1038/d41586-022-00138-y}}</ref><ref>{{cite news |title=OpenAlex: The Promising Alternative to Microsoft Academic Graph |url=https://library.smu.edu.sg/topics-insights/openalex-promising-alternative-microsoft-academic-graph |access-date=14 February 2022 |work=Singapore Management University (SMU) |language=en}}</ref><ref>{{cite web |title=OpenAlex Documentation |url=https://docs.openalex.org/ |access-date=18 February 2022}}</ref> [[Wikidata]] and [[Scholia]] which are under development and provide [[API]]s, Web-pages, feeds and graphs for various [[Semantic query|semantic queries]].
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