The Symbiotic Cycle of Knowledge Capture and Knowledge Delivery
Getting Value From Diagnostic Knowledge Management
Vast repositories of information are commonplace, yet the value extracted from them is often suspect. The job of extracting valuable knowledge would be a lot easier if the data quality was better, and the data quality could be a lot better if it was populated more intelligently during its creation. At the root of the problem is the divergence of objectives between those whose job it is to extract potential value from such data repositories, and those whose job it is to contribute the source data during their normal workday.
There is a clear symbiosis between the delivery of knowledge and the capture of knowledge. Done well, each makes the other easier to achieve.
The approach used by some companies is to place an intelligent tool in the hands of their front line workers that both assists them in their jobs and actively elicits crucial, new information at the point of use.
The technology is important, but clearly, the human users are a key link in that chain. The cycle remains incomplete until we consider the people who will ultimately use the data gathering and extraction tools and who will rely on the knowledge obtained. To complete the cycle, issues around implementation and reactions to change must also be exploredï¿½because the value of any information resource management tool depends ultimately on its usage.
This presentation will delve into the experience of CaseBank Technologies Inc in one of the most challenging domains in this realm – diagnostic knowledge for complex equipment.
This presentation will address:
- The symbiosis between knowledge capture and knowledge delivery
- Building and maintaining the knowledge, including text mining technology
- Implementing the system
Phil D’Eon is CEO of CaseBank Technologies Inc. CaseBank’s advanced case-based reasoning software, SpotLightï¿½, is used to provide global diagnostic knowledge support for major international manufacturers and operators of aircraft, automobiles, chemical plants, and refineries. Recently, the same technology and processes were applied with success to Medical Knowledge and Public Security domains.
Natalia N. Modjeska is Sr. Product Developer and Project Manager, Rondo Text Mining project at Casebank Technologies Inc. She holds a Master’s degree in Linguistics from Umea University, Sweden, and a Ph.D. degree in Natural Language Processing (NLP) from the University of Edinburgh, UK. Before joining CaseBank, Natalia was affiliated with the Computational Linguistics group and the Interactive Media Lab, both University of Toronto. Since the inception of the Canadian Language Technologies Roadmap committee, Natalia has served as NLP expert on its Content and Knowledge Management industries subcommitee. At CaseBank, Natalia leads development of knowledge mining tools from textual data. Anne Toner Fung is a principal and senior consultant with the Adao Institute for Change that specializes in helping organizations, teams, and individuals gain from change. Anne holds a Queen’s Executive MBA. Her business acumen was earned the hard way… on the front line. For over nineteen years she has honed her entrepreneurial, financial, and leadership skills. As an entrepreneur she ran a successful industrial service company. In the finance sector she rose to become Director of a national financial services group. As a leader, she implemented a turn around strategy for an international print media firm. Anne is currently writing her second book “Colliding with Change” in order to share her experience and insight with a world that is facing unprecedented change.
The presentation can be obtained from Natalia N. Modjeska at Casebank, www.casebank.com