By Bernhard Haslhofer, Erich J. Neuhold (auth.), Dieter Fensel (eds.)
In the mid Nineteen Nineties, Tim Berners-Lee had the belief of constructing the area broad net right into a „Semantic Web“, an internet of data which may be interpreted by means of machines as a way to enable the automated exploitation of information, which till then needed to be performed through people manually.
One of the 1st humans to investigate themes relating to the Semantic internet was once Professor Rudi Studer. From the start, Rudi drove initiatives like ONTOBROKER and On-to-Knowledge, which later led to W3C criteria equivalent to RDF and OWL. through the overdue Nineties, Rudi had confirmed a study team on the collage of Karlsruhe, which later grew to become the nucleus and breeding flooring for Semantic internet learn, and plenty of of today’s famous learn teams have been both based by way of his disciples or benefited from shut cooperation with this imagine tank.
In this booklet, released in social gathering of Rudi’s sixtieth birthday, lots of his colleagues glance again at the major learn effects completed over the past twenty years. lower than the editorship of Dieter Fensel, as soon as one in every of Rudi’s early PhD scholars, a magnificent record of individuals and contributions has been gathered, overlaying parts like wisdom administration, Ontology Engineering, provider administration, and Semantic Search.
Overall, this publication presents a good review of the cutting-edge in Semantic internet learn, through combining old roots with the most recent effects, which could ultimately make the dream of a “Web of information, software program and companies” come true.
Read or Download Foundations for the Web of Information and Services: A Review of 20 Years of Semantic Web Research PDF
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2) and other related logical and conceptual data models (Sect. 3) from that period. 1 The Relational Model In the 1970s, a large number of modeling approaches were proposed, and quite a number of them are still in use today. The Relational Model [19] had a seminal influence on this field because the simplicity of the table-oriented visualization allowed easy understanding and use of the data in a data storage independent way. Each row (tuple) in a relational table describes an entity with named attributes.
Figure 5 shows how our illustrative example can be deployed in a distributed setting. In the first case, a top-down design is realized by integrating external schemas into a single global schema. Guided by application-oriented metadata the design of the local schemas for the different computers in the network then follows. Here, considerable research effort was spent on strategies for splitting relations horizontally or vertically but, in retrospect, difficulties often arose from the low level of available semantic information.
1(1), 75–116 (1985). 1016/0169-023X(85)90027-8 24. : Augmenting Human Intellect: A Conceptual Framework. Stanford Research Institute, Menlo Park (1962) 25. : Concepts for modelling information. M. ) IFIP Working Conference on Modelling in Data Base Management Systems, Freudenstadt, Germany, pp. 95–109. North-Holland, Amsterdam (1976) 26. : From databases to dataspaces: a new abstraction for information management. SIGMOD Rec. 34(4), 27–33 (2005). 1107502 27. : A generalized approach to document markup.