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.
A story about the Semantic Web
Transcript, interview bios, and other info (incluyendo una transcripcion espanol) on kateray.net
Downloadable version on drop.io/web3point0
Interviews with:
Tim Berners-Lee
Clay Shirky
Chris Dixon
David Weinberger
Nova Spivack
Jason Shellen
Lee Feigenbaum
John Hebeler
Alon Halevy
David Karger
Abraham Bernstein
SentiWordNet is a lexical resource for opinion mining. SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, objectivity.
What do you send people who you want to introduce to the semantic web to persuade them to take it seriously? Lets say you want to persuade a senior business leader to approve a project/budget that includes semantic web technology?
Linked Data Semantic Repository (LDSR) represents a reason-able view to the web of data. It aims to allow users to find resources and facts based on the semantics of the data, like web search engines index WWW pages and facilitate their usage.
By now, you've no doubt heard about the promising implications of the semantic Web and semantic technology.
But, until recently, much of what was written about semantics described it as a near artificial intelligence, with huge implications for the Web, but precious little to add to business IT. In the past year, more has emerged about how it would actually function, but still, very little had been written about how how semantics could be used within enterprises or other organizations.
Semantic Web is a maturing field of technology that continues to be the emphasis of much focused research. This foundational text introduces the standardized knowledge representation languages for modeling ontologies operating at the core of the semantic web.
04. Mai 2009 Wer Google fragt, erhält Links. Wer Wolfram Alpha fragt, bekommt Antworten. Die „Wissensmaschine“ des Mathematikgenies Stephen Wolfram spuckt auf die Frage nach der Temperatur in einer Stadt eine Grafik mit dem Temperaturverlauf der vergangenen Tage und eine Vorhersage für die kommenden Tage aus.
J. Strötgen, and M. Gertz. Proceedings of the 5th International Workshop on Semantic Evaluation, page 321--324. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
M. Knuth, N. Ludwig, L. Wolf, and H. Sack. Proc. of the Second International Workshop on Mining Ubiquitous and Social Environments - MUSE'11, page 43--53. Athens, Greece, (September 2011)