Suchmaschinen werden von Internetusern täglich genutzt. Nach etwas „googeln“ hat es als Synonym für die Suche im Netz nicht nur ins umgangssprachliche Vokabular, sondern auch in den Duden geschafft. Eine Suchmaschine zu bedienen ist einfach und intuitiv – die Anwender geben einen Begriff ein und erwarten, die relevantesten Treffer zu finden. Um diese Erwartungshaltung zu erfüllen, müssen Entwickler von Such-Engines hoch komplexe Beziehungen und logische Prozesse beachten. „Semantische Suche“ ist dafür die Lösung. Dieser Artikel erklärt, was dahinter steckt.
We'll analyze the trends and technologies that power the Semantic Web. We'll identify patterns that are beginning to emerge, classify the different trends, and peak into what the future holds. (tags: semanticweb)
Getting to know PROV - the W3C Provenance Specifications
Provenance (the origin or source) of information is critical in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In order to promote the widespread publication of provenance information on the Web, the W3C is producing the W3C PROV set of specifications. These specifications provide a basis for the common exchange of provenance information on the Web. This half-day tutorial provides you with an in depth dive into these specifications including hands on information on how to publish, query and access provenance information. You will learn how to model your provenance data using the PROV data model and ontology, how to produce provenance information that enables integrity checking and inferences, as well as how to expose and acquire provenance information using PROV access mechanisms and services.