AdaptiveBlue AB Meta & Glue + Machine Learning with RDF @ Hearst

From Semantic Web NYC

Date:

April 9, 2009

Location:

Hearst Tower
300 W 57th Street
New York, NY 10019

Session Type: Technical-Applied-Research
Session Level: Beginner-Intermediate

Organizer

Marco Neumann, KONA

Speaker:

Mike Dunn
CTO & VP 
Interactive Media
Hearst Corp.
http://www.hearst.com

Alex Iskold
Founder/CEO, AdaptiveBlue
http://www.adaptiveblue.com

Paul Dix
Senior Developer at kgb 
http://www.kgb.com

Topics:

Introduction to Interactive Media at Hearst with Mike Dunn

Mike Dunn

AdaptiveBlue

Alex Iskold

AB Meta: Extensible RDFa-based format for declaring everyday things in HTML

Slide:

http://www.swnyc.org/ftp/20090409/AdaptiveBlue_SemTechMeetupNYC.pdf

Glue: Browser addon that connects people around things they visit.

Glue is the browser addon that leverages semantic technologies to automatically connect people around things they visit online. Glue works automatically as you browse popular sites about books, music, movies, wines, restaurants, gadgets, stocks, actors, tv shows and other everyday things around the web. The Glue bar appears right on your current page to show you friends who looked at the same things and what they thought.

AB Meta

AB Meta is a simple, RDFa-based format for annotating pages that are about things. A book publisher can use AB Meta to provide information about a book such as the author and ISBN, a restaurant owner can provide information such as the cuisine, phone number and address and a movie reviewer can annotate reviews with movie titles and directors. The format allows site owners to describe the main thing on the HTML page using standard META headers. The AB Meta format also allows content owners to declare multiple things in each page using standard RDFa notation.

Machine Learning Techniques for the Semantic Web Intro

Speaker:

Paul Dix

Site:

http://www.pauldix.net/

Slide:

http://www.swnyc.org/ftp/20090409/machine_learning_semantic_web_slides.pdf

Machine Learning Techniques for the Semantic Web are key to bring intelligent services to the web and the enterprise. Paul Dix will present the current state of the art in the field and address their relevance to product development.

Machine Learning Tools

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