sBooks: Beingmeta Reinvents the Software of the Book

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.

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.

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.


Back when I was an industry analyst (VP, E-Business Strategies at the META Group, since acquired by Gartner), I often had to critique emerging markets.  Unlike venture capitalists, industry analysts are privy to product roadmaps from publicly-traded companies, including the industry giants (Oracle, SAP, Microsoft, IBM).  And unlike i-bankers, they are privy to product roadmaps from start-ups.  And as a kicker, some analysts (actually, only those with the largest firms; back then, primarily limited to those analysts with Gartner, Forrester, META and Giga) get a lot of great feedback from CIOs and other end users.


One of the many factors that led to the success of the Web was in how it defined links in a very simple manner, which encouraged cross-referencing. In the last two installments of this column, I’ve discussed the importance of the identifiers of the Web: URIs. The Web’s native document element, HTML, made it easy to connect one URI to another, and so relationships between documents could grow regardless of who controlled the documents. This of course meant that sometimes such links would break, signaled by the infamous 404 “Not Found” code.


In a recent blog post, Tim Berners-Lee, Director of the World Wide Web Consortium, wrote about a new paradigm. In the early days of the internet it was the computers and the wires that were important; more recently it was the documents that were the important things, the centres of focus and attention. Now, and in the future, “it’s the things they are about which are important.” Tim refers to this as the Graph, to distinguish it from the Web, and also to distinguish it from social network sites that contain a subset of a representation of a Graph, but are not the Graph.


I’m weighing in in favor of Web 3.0 as an alias for the Semantic Web. I know there are a lot of people who will roll their eyes and initiate some anti hype exorcism, but let’s have a sober look at the pluses and minuses here.


The World Wide Web evolves; so do businesses on the World Wide Web. But what are the relationships between Web evolution and Web business evolution? And what are the general issues about Web business evolution?  This article addresses these questions.