Videos tagged with Semantic Web


Where Does It Break? Or: Why the Semantic Web is Not Just 'Research as Usual'

Where Does It Break? Or: Why the Semantic Web is Not Just 'Research as Usual'

Posted in Science

Work on the Semantic Web is all to often phrased as a technological challenge: how to improve the precision of search engines, how to personalise web-sites, how to integrate weakly-structured data-sources, etc. This suggests that we will be able to realise the Semantic Web by merely applying (and at most refining) the results that are already available from many branches of Computer Science. I ...

Tags: Science, Lectures, Computer Science, Semantic Web, VideoLectures.Net



Interview with Tom Gruber

Interview with Tom Gruber

Posted in Science

Tom Gruber is an innovator in technologies that extend human intelligence. Building on early work in computer-mediated learning and artificial intelligence, he focuses on creating environments for collective intelligence. We discussed with him at he International Semantic Web Conference 2006 in Athens, Georgia in the USA. Interviewer: Davor Orli?, Center For Knowledge Transfer, Jozef Stefan Ins...

Tags: Science, Lectures, Computer Science, Semantic Web, VideoLectures.Net


Extracting Semantic Relations from Query Logs

Extracting Semantic Relations from Query Logs

Posted in Companies, Science

In this paper we study a large query log of more than twenty million queries with the goal of extracting the semantic relations that are implicitly captured in the actions of users submitting queries and clicking answers. Previous query log analyses were mostly done with just the queries and not the actions that followed after them. We first propose a novel way to represent queries in a vector ...

Tags: Yahoo!, Science, Lectures, Computer Science, Semantic Web, VideoLectures.Net


Automatic Techniques for Extracting Semantic Data (from text and media)

Automatic Techniques for Extracting Semantic Data (from text and media)

Posted in Science

Using the results of a number of large European projects Fabio will outline the main issues for acquiring ontological knowledge from text and media at large scale. A lot of the work described here is based on collaborations with the jet engine company Rolls Royce. This session will give attendees insights into how information extraction techniques can support the population of ontologies with d...

Tags: Science, Lectures, Computer Science, Semantic Web, VideoLectures.Net


Industry 1: Semantic Solutions: Generating Business Value from Semantic Web Technologies

Industry 1: Semantic Solutions: Generating Business Value from Semantic Web Technologies

Posted in Science

Thanks to the efforts of many researchers over the past five years, Semantic Web technologies have reached the point where they are now enabling new types of business solutions. In this presentation, we will show how IBM Research is using Semantic Web technologies and Semantic Super Computing to generate new insight from the Web, intranets and large document repositories. It includes an introdu...

Tags: Business, IBM, Science, Lectures, Computer Science, Semantic Web, VideoLectures.Net



Ground Facts, Rules and Probabilistic Inference for Cyc

Ground Facts, Rules and Probabilistic Inference for Cyc

Posted in Science

One aspect of Cyc is a very large, logic-based knowledge base that includes, inter-alia, large amounts of background knowledge over a wide variety of domains, but it is more than that; the Cyc project is an attempt to move towards general artificial intelligence by supporting automated reasoning about a very wide variety of real-world concerns. To support that goal, Cyc also encompasses, obviou...

Tags: Science, Lectures, Computer Science, Semantic Web, VideoLectures.Net


A short Tutorial on Semantic Web

A short Tutorial on Semantic Web

Posted in Science

The availability of electronically stored information increased drastically through the development of the World Wide Web. Currently the WWW contains more than a billion documents, but support for accessing and precessing information is limited. Most information is only presentable but not understandable by computers. Tim Berners-Lee envisioned the Semantic Web that aims at providing automated ...

Tags: Science, Lectures, Computer Science, Semantic Web, VideoLectures.Net


Semantic Web Rules with Ontologies, and their E-Services Applications

Semantic Web Rules with Ontologies, and their E-Services Applications

Posted in Science

Rules are a main emerging area of the Semantic Web. There has been significant progress in just the last three years in several aspects of Semantic Web rules. This includes exciting developments in the underlying knowledge representation formalisms as well as advances in integration of rules with ontologies; translations between heterogeneous commercial rule engines; development of open-source ...

Tags: Science, Lectures, Computer Science, Semantic Web, VideoLectures.Net, Ontologies


Qualitative Spatial Relationships for Image Interpretation by using Semantic Graph

Qualitative Spatial Relationships for Image Interpretation by using Semantic Graph

Posted in Science

In this paper, a new way to express complex spatial relations is proposed in order to integrate them in a Constraint Satisfaction Problem with bilevel constraints. These constraints allow to build semantic graphs, which can describe more precisely the spatial relations between subparts of a composite object that we look for in an image. For example, it allows to express complex spatial relation...

Tags: Science, Lectures, Computer Science, Semantic Web, VideoLectures.Net, Computer Vision, Image Analysis


How I was right even when I was wrong

How I was right even when I was wrong

Posted in Science

For the past several years I have warned people not to ask me to predict the future, because my predictions are usually wrong. Undaunted by failure, in this talk I will try to predict the future of the semantic web based on a very personal view of its history, the history of the internet, web, semantic web, and AI, and the mistakes I've made predicting where and how they would be valuable. Auth...

Tags: IBM, Science, Lectures, Computer Science, Semantic Web, VideoLectures.Net