Facebook

08.10.09

The Washington Semantic Web Meetup

05.07.09
sBooks: Beingmeta Reinvents the Software of the Book
01.21.09
Executive Summary

We have used a sophisticated array of AI/Machine Learning systems in combination with statistical methods, background knowledge and expert defined rules engines, to create, entirely automatically, a structured database with high quality information. The example we have produced contains structured company records and fields for over 2 million IT and telecoms companies using data taken from their websites.

01.20.09
Executive Summary

The future web is expected to evolve into a situation aware web that surfaces the hidden knowledge of enterprises and individuals and enables greatly more powerful paradigms. Actualizing these requirements demands a semantic technology that is magnitudes greater in efficiency and performance than conventional layered technologies.

01.13.09
Executive Summary

As social tagging grows increasingly popular on the Web, organizations are curious to see how this trendy Web 2.0 approach can benefit the business world. Social tagging allows users to employ their own language to organize and retrieve content, and encourages social collaboration between peers by making those tags visible to others. Organizations are thus looking to social tagging as a potential solution for increased findability on intranets, news/blog monitoring and collaboration in workgroups. The enterprise context is different however, and many of the elements that make social tagging work on the Web make it a challenge behind the firewall.