- From: George Shannon <George.Shannon@raphaelanalytics.com>
- Date: Mon, 4 Jan 2010 08:52:36 -0600
- To: <semantic-web@w3.org>
- Message-ID: <BC8961FA3A0F4AA8A9C7743B478645E6@raphael01>
Hi All: I am new to the group. I joined to see if I could interest anyone in providing their dispassionate third-party views on the topic of ontological learning tools. We are a small startup company who has done initial prototyping of tools for knowledge extraction using ontologies and the mathematics of topology to improve search precision. We started in medicine since ontologies currently exist in that domain. We are considering the pursuit of a new artificial intelligence tool for semi-automated ontological learning from free-form text. The technology would likely involve evolutionary learning on parallel architectures that includes natural language processing to extract logic assertions from free-form text. We are very early in looking at the possibility of prototyping this tool, so I am looking for dispassionate views from third-parties to verify that a demand exists for semi-automated ontological learning, and to gather thoughts about potential applications with the greatest value. I suppose like any small startup we have gotten excited about our ideas only to find that a great demand did not exist. So I'm looking for outside feedback. I have two objectives: a) gather views from knowledgeable parties in the industry, and b) if results are positive then become active in the appropriate groups so we can become engaged in standards and trends. As a goal the tool would be developed on non-proprietary platforms (rdf/owl, etc); however, we do see the possibility of more exotic AI "stuff" like genetic algorithms in the mix. It is too early to really know. So, the two basic questions I would like to pose to kick off a discussion are as follows: 1. If a practical approach to ontological learning were made available, would there be a significant demand for it? (I.e., if ontological learning were made available, would it fill a critical gap in semantic web technologies, or are manual grass roots efforts sufficient, perhaps things like manual publishing of linked data?) 2. What are the ontological learning tools that would likely have the greatest demand? For example, what kind of information is examined, and what kinds of ontologies are generated from this information? I would greatly appreciate input and thoughts on this topic, and hope to have a good dialogue on the topic. Thank you in advance for your interest and thoughtful responses. I appreciate the opportunity to join this group and I hope that this discussion can add in some way to the group's charter. Regards, George George Shannon President, Raphael Analytics, Inc. 16 Spur Drive Fenton, MO 63026 (314) 550-5589 (cell) <mailto:George.Shannon@raphaelanalytics.com> George.Shannon@raphaelanalytics.com <http://www.raphaelanalytics.com/> www.raphaelanalytics.com The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use of, or taking of any action in reliance upon, this information by persons or entities other than the intended recipient is prohibited. If you received this in error, please contact the sender and delete the material from any computer.
Received on Monday, 4 January 2010 15:07:08 UTC