Semantics in the Enterprise


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.


Semantic Web technologies were designed from the ground up for disparate information integration. Disparate data and its impact on data quality and consistency remain one of the most difficult challenges facing large enterprises today. Yet, there has been relatively little use of Semantic Web technologies in these organizations.


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.


Supporting Materials: Stand-alone recording of the demo presented in this webcast (Flash) The semantic web query language, SPARQL is a powerful tool for exploring, finding, processing and managing data within semantic models and applications. Learn from the industry experts as they show how SPARQL can be used to deliver these capabilities to business users.


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:


This paper describes how advanced semantic web and natural language techniques can be used within the context of enterprise collaboration to solve concrete user problems.


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.

Executive Summary

A common challenge facing today’s enterprise, its employees, and customers, is the ability to easily and effectively access corporate data and product/services-related information.  To obtain the accurate and specific information needed from a vast corporate network is a daunting task, especially as data grows more complex and the workforce becomes increasingly mobile.  What if we had pervasive access to it all– enabling us to make timely business decisions while continuing on with our busy days?

Executive Summary

The adage “content is king” has never been truer than it is today. Companies across the board are rapidly evolving their services to provide their customers with even more value in the face of the economic meltdown. With its near unlimited capacity and zero-cost of publishing, the Internet has grown astronomically. In 2006, it was estimated that the Internet encompassed 70 million blogs and 150 million Web sites (three million times the information size of all books ever written), and is currently growing by ten thousand pages per hour. What’s particularly interesting is that it’s not just traditional publishing companies that have to find ways to compete with the explosion of information – companies ranging from pharmaceutical developers to mortgage companies are exploring ways to create new information services by tapping the immense amount of information available on the Internet today. However, creating these new information services can be extraordinarily time consuming and expensive without the help of semantic technologies.