Bhaumik Nagar…

With just a few simple lines of code, easily memorable HTML5 Microdata allows you to mark up pages with semantic meaning without having to worry about complexities normally associated with RDF implementation. You can easily mark up an article with semantic meaning utilizing HTML5 Microdata to specify if it is an event, organization, product, person and more.

In this video, Michael Latulippe, Director of Business Development for Get Noticed, Inc will explain many facets of HTML5 Microdata including how it arose, why it arose, how to implement it easily in sites, and how to check your work utilizing the Google Rich Snippet Tool.

Series: Collaboration Technology and Engaging the Campus 2009
Title: Semantic Web, The Search for Intelligence on the Internet
Speakers: Martin Mueller, Northwestern University

Recorded in Meeting Room B in the Thwing Center on the Campus of Case Western Reserve University in Cleveland, Ohio
Date: Thursday May 7, 2009

The topic of our talk was how structure add value to your data. We start by talking about structured data in a general context. This then leads to the Semantic Web, and finally we talked about structured data in the context of CMS systems.

Series: Collaboration Technology and Engaging the Campus 2009
Title: Semantic Web and Architecting the Future of Major Software Systems for the University and the Enterprise
Speaker: Dan Sholler – Gartner

Recorded in Meeting Room B Room in the Thwing Center on the Campus of Case Western Reserve University in Cleveland, Ohio
Date: Thursday May 7, 2009

Google TechTalks
January 25, 2006

Peter Patel-Schneider
http://www-db.research.bell-labs.com/user/pfps/

ABSTRACT
The Semantic Web has been attracting considerable attention the last few years. From the point of view of Knowledge Representation, the Semantic Web affords opportunities for both research and application.

However, several aspects of the Semantic Web, as it has been envisioned, cause problems from the Knowledge Representation viewpoint. Overcoming some of these problems has resulted in a more formal basis for the Semantic Web and an increase in expressive power in Semantic Web languages.

The Semantic Web is a field aiming a the creation, deployment, and interoperation of machine readable data on the Internet. In the talk we present some projects in DERI on Semantic Web technologies – notably Semantic Interlinking of Online Community sites, Social Semantic Collaborative Filtering, and ActiveRDF, a library for Browsing, programming and navigating Semantic Web data.

The SIOC (Semantic Interlinking of Online Communities) project [1] is an effort aiming at establishing and deploying a metadata vocabulary for interlinking and connecting distributed conversation on blogs, bulletin boards, and mailing lists. The vocabulary has been implemented…

The Semantic Web presents the vision of a distributed, dynamically growing knowledge base founded on formal logic. Common users, however, seem to have problems even with the simplest Boolean
expression. So how can we help users to query a web of logic that they do not seem to understand? One frequently proposed solution to address this problem is the use of natural language (NL) for
knowledge specification and querying. We propose to regard formal query languages and NL as two extremes of a continuum, where semistructured languages lie somewhere in the middle.

To evaluate what degree of structuredness casual users prefer, we introduce four query interfaces, each at a different point in the continuum, and evaluate the users’ preference and their query performance in a study with 48 subjects. The results of the study reveal that while the users dislike the constraints of a fully
structured formal query language they also seem at a loss with the freedom of a full NLP approach. This suggests that restricted query languages will be preferred by casual users because of their
guidance effect, mirroring findings from social science theory on human activity in general.
Speaker: Prof. Bernstein
Abraham Bernstein is a full Professor at the Department of Information Technology (Institut für Informatik) of the University of Zurich. He conducts research on various aspects of supporting dynamic (intra- and inter-) organizational processes. His work draws from both social science (organizational psychology/sociology) and technical (computer science, artificial intelligence) foundations.

Before coming to Zurich he was an Assistant Professor, at the Information Systems Department in New York University’s Stern School of Business, and received a Ph.D. at MIT’s Sloan School of Management, where he worked with Prof. Thomas W. Malone at the Center for Coordination Science.