Enterprise Architecture (EA) captures “what is happening” in the enterprise: how the enterprise’s activities, processes, capabilities, systems and components, information resources and technologies relate to the enterprise’s missions, goals and measurement system. The objective of EA is to be able to understand the relationships between these elements — analyze and continuously adjust them to align with business strategy, improve effectiveness and quality of service. This is an important goal critical in today’s enterprises where business functions are inseparable from the technologies supporting them. However, the implementation of EA typically falls very short of the goal.

With a panel of leaders from the semantic technology industry, this session will give us the opportunity to reflect on the many discussions that have taken place during the week of SemTech 2008 and help us map the course as we prepare to extend those conversations back into our workplaces. We will touch on issues of ROI, making the case for semantic technologies in the enterprise, and what to expect in the coming year in the semantic tech space. Note: This podcast is “Premium content”, and requires Semantic Universe registration, which is free.

Part  1 – Understanding The Semantic Value Proposition The term “Semantic Web” has developed some interesting yet confusing connotations since it was first introduced in the early 2000’s. Those misconceptions include but are not limited to:

The evolution of the semantic web brings new possibilities to handle the information overload. This paper focuses on the motivation to integrate two applications and the usage of semantic content for information managers. Analysts and executives need to understand today the value of semantic technologies in relation to business intelligence and decision making support. There are a number of mature semantic technology categories including automatic annotation, information extraction techniques, text mining and semantic navigation and search within the content.