000			02049nam a22001817a 4500
005			20260203174555.0
020			_a978-0387710006
082			_a005.132 MIK
100			_aPeter Mika _91237
245			_aSocial Networks and the Semantic Web
250			_a1
260			_aSpringer _bSpain _c2024
300			_aPrint length ‏ : ‎ 234 pages _bItem Weight ‏ : ‎ 503 g Dimensions ‏ : ‎ 16.15 x 2.03 x 24.28 cm
520			_aScience is like a tree: contrary to popular belief, both trees and science grow at their edges, not at their core. For science, this means that most of the fruitful and exciting developments are not happening at the core of established ?elds, but are instead happening at the boundaries between such ?elds. This has been particularly true for Computer Science. The most interesting database developments don’t happen inside the Database community, but rather where databases hit Biology. Similarly, the most interesting developments in Ar- ?cial Intelligence in recent years have happened where AI met the Web. Theyoung?eldofSemanticWebresearchhasbeenoneoftheresultsofanumber of different sub?elds of Computer Science being exposed to the challenges of the Web: databases, computational linguistics, knowledge representation, knowled- based systems and service-oriented computing are just some of the sub?elds that are all making contributions to the Semantic Web vision, namely a Web that consists not only of linksbetween web-pagesfull of picturesand text, but of a Semantic Web that consists of links between computer-interpretable data. Such a Semantic Web would make it possible to query and reason over integrated data-sets consisting of separate pieces of information that were never intended to be linked together, but that can nevertheless be fruitfully combined and integrated, sometimes even by a third party who neither wrote nor ownsany of the original piecesof data (just as is possible with web-pages on the current Web).
546			_aLanguage ‏ : ‎ English
650			_aCSE _914
942			_cBK
999			_c38178 _d38178