View source for SciGraph

{{Short description|Search service for journal articles}}
{{Infobox website
| name             = SciGraph
| logo             =
| type             = [[Search engine]]
| author           = [[Springer Nature]]
| launch_date      = {{start date|2017|3}}
}}
'''SciGraph''' was a search engine tool developed by [[Springer Nature]], the former URL was https://scigraph.springernature.com/explorer. The technology, which was considered a [[Linked data|Linked Open Data]] (LOD) platform,<ref>{{Cite web|title=Springer Nature SciGraph|url=https://www.eurekalert.org/multimedia/533414|access-date=2021-10-25|website=EurekAlert!|language=en}}</ref> collects information that covers the research landscape, which includes research projects, publications, conferences, funding agencies, and others.<ref> {{ Cite conference | last = Rucci | first = Enzo | title = Cloud Computing, Big Data & Emerging Topics: 8th Conference, JCC-BD&ET 2020, La Plata, Argentina, September 8-10, 2020, Proceedings|publisher=Springer Nature|year=2020 |url=https://books.google.com/books?id=X-oEEAAAQBAJ&dq=loud+Computing%2C+Big+Data+%26+Emerging+Topics++8th+Conference%2C+JCC+BD%26ET+2020%2C+La+Plata%2C+Argentina%2C+September+8+10%2C+2020%2C+Proceedings.&pg=PP6  |access-date= |doi=10.1007/978-3-030-61218-4_6 |isbn=978-3-030-61217-7|location=Cham, Switzerland|pages=86|language=en|issn=1865-0929|oclc=1204142972}}</ref> Key features of the platform include the detailed semantic description of the relationship of information and the visualization of the scholarly domain.
== Development ==
The development of SciGraph began with an initiative to create a platform that will host Springer Nature's entire publication archive, which cover texts published as early as 1815.<ref name=":1">{{Cite web|title=Springer Nature Uses LOD to Create a Rich Database for Scientists to Work Together|url=https://www.ontotext.com/knowledgehub/case-studies/sn-scigraph-uses-graphdb/|access-date=2021-11-04|website=Ontotext|language=en-US}}</ref> The number of these resources is reported to be about 13 million.<ref name=":1" /> The technology behind the platform was built on earlier Springer Nature projects developed for the purpose of collecting information on the research landscape.<ref name=":0">{{ Cite conference | last1 = Hammond | first1 = Tony | last2 = Pasin | first2 = Michele | last3 = Theodoris | first3 = Evangelos | title = Data integration and disintegration: Managing Springer Nature SciGraph with SHACL and OWL | journal = ISWC (Posters, Demos & Industry Tracks) | location =  Kobe, Japan |date= 2017 | url = http://ceur-ws.org/Vol-1963/paper493.pdf | access-date = October 26, 2021 | s2cid = 45786582 | issn = 1613-0073 }} </ref> The first SciGraph data set was published in February 2017.<ref name=":0" /> The platform was launched in March 2017 and significantly expanded with the addition of publications of key partners.<ref>{{Cite web|title=SciGraph – Access|date=22 December 2017 |url=https://librarylearningspace.com/tag/scigraph/|access-date=2021-10-25|language=en-US}}</ref> The datasets span a broad range of topics, which include [[computer science]], [[medicine]], [[List of life sciences|life sciences]], [[chemistry]], [[engineering]], and [[astronomy]], among others.<ref name=":2" /> The developers also plan to include citations, [[patent]]s, and [[clinical trial]]s in the future.<ref>{{cite conference |last1=Garcia-Silva |first1=Andres |last2=Gómez-Pérez |first2=José Manuél |title=Not Just About Size - A Study on the Role of Distributed Word Representations in the Analysis of Scientific Publications |journal=Dl4Kgs@Eswc 2018 |location= Heraklion, Greece |pages=21–32 |date=1 April 2018 |url=https://ceur-ws.org/Vol-2106/paper3.pdf |access-date= |bibcode= 2018arXiv180401772G |arxiv=1804.01772 |issn=1613-0073}}</ref>
== Technology ==
SciGraph constitutes 1.5 to 2 billion triples where a triple is formatted as "subject-predicate-object" and could link any subject or concept through a predicate (verb) to another object, demonstrating the type of relationship that exists between them.<ref>{{Cite book |last1=Light|first1=Ryan|title=The Oxford Handbook of Social Networks|last2=Moody|first2=James|publisher=Oxford University Press|year=2020|isbn=978-0-19-025176-5|location=New York|pages=603|language=en}}</ref> Its graph structure is used by other academic [[search engine]]s such as [[Semantic Scholar]]. <ref>{{ Cite conference  |last1=Jose |first1=Joemon M. |last2=Yilmaz |first2=Emine |last3=Magalhães |first3=João |last4=Castells |first4=Pablo |last5=Ferro |first5=Nicola |last6=Silva |first6=Mário J. |last7=Martins |first7=Flávio |title= Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part I |date=2020 |publisher=Springer Nature |location=Cham, Switzerland  |page=254 |url=https://www.researchgate.net/publication/340574116 |access-date=|doi=10.1007/978-3-030-45442-5_31 |isbn=978-3-030-45438-8  |arxiv=1912.13080 }}</ref>
SciGraph collects data from Springer Nature and its partners from the scholarly domain as well as funders, research projects, conferences, affiliations, and publications.<ref>{{Cite book|last1=Bespalov|first1=Anton|title=Good Research Practice in Non-Clinical Pharmacology and Biomedicine|last2=Michel|first2=Martin C.|last3=Steckler|first3=Thomas|series=Handbook of Experimental Pharmacology |publisher=Springer Nature|year=2020 |volume=257 |url= https://books.google.com/books?id=PPHRDwAAQBAJ&q=343&pg=PA343  |access-date= |doi=10.1007/164_2019_290 |isbn=978-3-030-33655-4|location=Cham|pages=343|pmid=31691858 |s2cid=207902492 |language=en}}</ref> The collected information serves as rich semantic description of how information is related and it also provides a visualization of the scholarly domain.<ref>{{Cite book|last1=Gayo|first1=Jose Emilio Labra|title=Validating RDF Data|last2=Prud'hommeaux|first2=Eric|last3=Boneva|first3=Iovka|last4=Kontokostas|first4=Dimitris|chapter=Applications |series=Synthesis Lectures on Data, Semantics, and Knowledge |date=2018 |publisher=Morgan & Claypool Publishers |pages=212|language=en|doi=10.1007/978-3-031-79478-0_6|oclc=1019932975|url=https://books.google.com/books?id=ISBN9781681731643  |access-date= |isbn=978-1-68173-164-3 }}</ref> The platform has been considered the only large-scale dataset that reconciles authors' affiliations through the disambiguation and linking with external authoritative datasets according to institutions.<ref name=":2">{{ Cite conference | last1=González-Beltrán|first1=Alejandra|title=Semantics, Analytics, Visualization: 3rd International Workshop, SAVE-SD 2017, Perth, Australia, April 3, 2017, and 4th International Workshop, SAVE-SD 2018, Lyon, France, April 24, 2018, Revised Selected Papers|last2=Osborne|first2=Francesco|last3=Peroni|first3=Silvio|last4=Vahdati|first4=Sahar|publisher=Springer|year=2018 |url= https://www.researchgate.net/publication/328623441  |access-date= |doi= 10.1007/978-3-030-01379-0_5 |isbn=978-3-030-01378-3|location=Cham|pages=64|language=en }}</ref>
== References ==
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[[Category:Bibliographic databases in computer science]]
[[Category:Internet search engines]]
[[Category:Scholarly search services]]
[[Category:Applications of artificial intelligence]]