Continuing my series of podcast conversations with interesting people, this week I spoke with David Siegel in New York. David is the author of several best-selling books, and has just published Pull: the power of the Semantic Web to transform your business [Amazon US] [Amazon UK
].
We discuss the premise behind the book, and delve into David’s perspective that the ‘semantic web’ is far broader than many have traditionally thought.
During our conversation, we mention the following resources;
- Business Rules Markup Language (BRML)
- Creating Killer Web Sites
- eXtensible Markup Language (XML)
- Futurize Your Enterprise
- GoodRelations, and my podcast with Martin Hepp and Jamie Taylor
- Kayak
- Linked Data
- NeuroCommons
- PubSubHubbub
- Pull
- Pull website
- Resource Discovery Framework (RDF)
- Science Commons
- Secrets of Successful Web Sites
- Universal Product Code (UPC)
- weather.com
- Web Ontology Language (OWL)
- Wolfram Alpha
- World Wide Web Consortium (W3C)
- XBRL, and my podcast with Diane Mueller
Related articles by Zemanta
- The Power of Pull (windley.com)
- How the Semantic Web Will Pull the Future Near (nextny.org)
- The Next Web to Be User-Centric (Thoughts on David Siegel’s Pull Book) (semanticsincorporated.com)
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Paul Miller works at the interface between the worlds of Cloud Computing and the Semantic Web, providing the insights that enable you to exploit the next wave as we approach the World Wide Database.
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[...] I spoke with David this week, and recorded our conversation as a podcast that is now available onlin…. We discuss the premise behind the book, and then explore some of the presumptions upon which his argument is built. [...]
We have moved from a broadcast mode. At this point we have reached overload. We need tools to create filtering. The idea of meta data is absurd. We need a more transparent tool. I have spent the last thirteen years working on an ontology based filtering system. It is an AI based system which allows the user to create their own ontology.
In truth it is not a pull systems but a filtering system.