Semantic TechnologiesJumpStart 2008 – (No cost)
Every Thursday, from October 30th – November 20th
Time: 11:30 am – 1:00 pm ET.
A 4-partwebinar series on semantic technologies.
Register now and download recording and slides from October: Taxonomy and Content /Management Strategy for No Cost
Call 1: What are Semantic Technologies and How are they Different?
October 30th, 2008
Presenters: Sherman Monroe, CEO, Monrai Technologies and Philip Pridmore-Brown, VP Marketing and Product Services, Thetus Corporation
In this session we’ll define semantic technologies and the semantic web and discuss the history of transitioning from older models of information management to new ways of integrating data, leveraging the diversity of web resources and deriving greater value from internal and external data.
Are Semantic Technologies truly different? Or is this just another example of vendor hype? What are the short-term applications that will allow organizations to explore this space and realize a return on investment?
We’ll hear from experts in the field about these topics and others in this overview session.
Towards a High Resolution Web
Presented by Sherman Monroe
The web initiated a revolution in information sharing by removing file access barriers between PCs. While people have enjoyed the breath of growing knowledge contained in the internet, computers cannot as readily interpret or make use of. This presentation addresses some of the remaining barriers to information sharing imposed by the web from the perspective of the machine. We’ll discuss the trend toward a richer description of our world of people, places, things and events, and the relationships between them.
Topics include :
– Shortcomings of early web technologies
– The role and importance of next generation semantic approaches
– The practical effects of semantic technologies on your organization
– Areas to start for taking your organization to the next generation of web technology
Semantic Technology and the Importance of Conceptual Models
Presented by Philip Pridmore-Brown
The ability of semantic technology to describe complex systems and apply computing power to analyze them goes far beyond traditional approaches to knowledge management. Semantic technology provides standards (OWL, RDF, etc.) and structure that allow information to be described in a way that captures what it is, what it means and what it’s related to—all in a machine-readable form.
At the heart of semantic technology are conceptual models that have the ability to help evaluate information to determine where it fits and how it should be treated. As more systems become interconnected both in the enterprise and across the Web and as new composite applications and services emerge, having consistent models to evaluate information fit becomes critical to accurate analysis.
In this session, we will discuss how semantic models differ from traditional metadata and taxonomy approaches. We’ll also explore the fundamentals of semantic models, including the importance of concepts and relationships in defining a model’s structure, the incorporation of rules to determine where concepts reside and what they mean, and the ability of models to incorporate change and allow for prediction.
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