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The first suggestion of a digital database of journal paper abstracts was made at a conference on ''Astronomy from Large Data-Bases'' held in [[Garching bei München]] in 1987.<ref>{{cite journal |last1=Squibb |first1=G.F. |last2=Cheung |first2=C.Y. |year=1988 |title=NASA astrophysics data system (ADS) study |journal=European Southern Observatory Conference and Workshop Proceedings |volume=28 |page=489 |bibcode=1988ESOC...28..489S}}</ref><ref>{{cite conference |last1=Adorf |first1=H.-M. |last2=Busch |first2=E.K. |year=1988 |title=Intelligent access to a bibliographical full text data base |volume=28 |page=143 |bibcode=1988ESOC...28..143A |journal=European Southern Observatory Conference and Workshop Proceedings}}</ref><ref>{{cite conference |last=Rey-Watson |first=J.M. |year=1988 |title=Access to astronomical literature through commercial databases |volume=28 |page=453 |bibcode=1988ESOC...28..453R |journal=European Southern Observatory Conference and Workshop Proceedings}}</ref><ref>{{cite conference |last1=Rhodes |first1=C. |last2=Kurtz |first2=M.J. |last3=Rey-Watson |first3=J.M. |year=1988 |title=A library collection of software documentation specific to astronomical data reduction |volume=28 |page=459 |bibcode=1988ESOC...28..459R |journal=European Southern Observatory Conference and Workshop Proceedings}}</ref>
An initial version of ADS, with a database consisting of 40 papers, was created as a [[proof of concept]] in 1988. The ADS Abstract Service became available for general use via proprietary network software in April 1993,
In 2011 the ADS launched ADS Labs Streamlined Search which introduced [https://www.researchgate.net/publication/228582891_Retrieval_from_facet_spaces facets] for query refinement and selection. In 2013, ADS Labs 2.0 started featuring a new search engine, full-text search functionality, scalable facets, and an API was introduced. In 2015, the new ADS, code-named Bumblebee, was released as ADS-beta. The ADS-beta system features a micro-services API and client-side dynamic page loading served on a cloud platform. In May 2018 the beta label was dropped and Bumblebee became the default ADS interface—with some legacy features (ADS Classic) remaining available.<ref>{{Cite conference |last1=Accomazzi |first1=Alberto |last2=Kurtz |first2=Michael J. |last3=Henneken |first3=Edwin |last4=Grant |first4=Carolyn S. |last5=Thompson |first5=Donna M. |last6=Chyla |first6=Roman |last7=McDonald |first7=Steven |last8=Shaulis |first8=Taylor J. |last9=Blanco-Cuaresma |first9=Sergi |last10=Shapurian |first10=Golnaz |last11=Hostetler |first11=Timothy W. |last12=Templeton |first12=Matthew R. |last13=Lockhart |first13=Kelly E. |date=January 2018 |title=ADS Bumblebee comes of age |conference=231st Meeting of the American Astronomical Society |at=362.17 |bibcode=2018AAS...23136217A}}</ref> Development continues to the present day, with an extensible [[API]] available: enabling users to build their own utilities on top of the ADS bibliographic record.
The ADS service is distributed worldwide with twelve [[Web mirror|mirror sites]] in twelve countries and with the database synchronized by weekly updates using [[rsync]], a mirroring utility which allows updates to only the portions of the database which have changed. All updates are triggered centrally, but they initiate scripts at the mirror sites which "pull" updated data from the main ADS servers.<ref name="architecture">{{cite journal |last1=Accomazzi |first1=A. |last2=Eichhorn |first2=G. |last3=Kurtz |first3=M.J. |last4=Grant |first4=C.S. |last5=Murray |first5=S.S. |year=2000 |title=The NASA Astrophysics Data System: Architecture |journal=Astronomy and Astrophysics Supplement Series |volume=143 |issue=1 |pages=85–109 |doi=10.1051/aas:2000172 |bibcode=2000A&AS..143...85A |arxiv=astro-ph/0002105 |s2cid=7182316}}</ref>
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==Search engine==
[[Image:A complex ADS search.png|thumb|right|An example of a complex search combining object, title and abstract queries with a date filter
Since its inception, the ADS has developed a highly complex [[search engine]] to query the abstract and [[Object database|object databases]]. The search engine is tailor-made for searching astronomical abstracts, and the engine and its [[user interface]] assume that the user is well-versed in astronomy and able to interpret search results which are designed to return more than just the most relevant papers. The database can be queried for author names, [[astronomical object]] names, title words, and words in the abstract text, and results can be filtered according to a number of criteria. It works by first gathering synonyms and simplifying search terms as described above, and then generating an "inverted file", which is a list of all the documents matching each search term. The user-selected logic and filters are then applied to this inverted list to generate the final search results.<ref name="search">{{cite journal |last1=Eichhorn |first1=G. |last2=Kurtz |first2=M.J. |last3=Accomazzi |first3=A. |last4=Grant |first4=C.S. |last5=Murray |first5=S.S. |year=2000 |title=The NASA Astrophysics Data System: The search engine and its user interface |journal=Astronomy and Astrophysics Supplement Series |volume=143 |issue=1 |pages=61–83 |doi=10.1051/aas:2000171 |bibcode=2000A&AS..143...61E |arxiv=astro-ph/0002102 |s2cid=2787647}}</ref>
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* [[Bibcode]]
* [[INSPIRE-HEP]]
* [[NASA]]'s [[Planetary Data System]] (PDS)
* [[PubMed]]
* [[Michael J. Kurtz]]
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