1 Understanding User Roles Understanding User Roles ( in ontologizing the Ontolog body of knowledge) Lisa Dawn Colvin April 20, 2006.

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Presentation transcript:

1 Understanding User Roles Understanding User Roles ( in ontologizing the Ontolog body of knowledge) Lisa Dawn Colvin April 20, 2006

2 Potential Community is Broad Ontology practitioners are from AI to IA A small sample of people who use the word ontology: Information Architects, Librarians, Logicians, Information Scientists, Application Developers, Computer Scientists, AI Researchers, Knowledge Engineers, Subject Matter Experts, Computational Linguists, Standards Developers, Metadata and Data Architects and Modelers, Business Analysts, Philosophers, Innovators, Venture Capitalists, Futurists, Taggers …

3 Goals may be similar across groups* Browse : Want to learn more about a particular area or become familiar with the content available Search : Find a particular piece of Information Fully-specified in Wiki. (Seeking a list of all participants in an Ontolog conference call on 01/02/04) Under-specified in Wiki, but easy to see how to specify (Seeking an expert in a particular area of ontological engineering) Under-specified in Wiki, but more difficult to specify (Seeking solutions to particular problems in ontological engineering.) Create: Generate new knowledge based on existing knowledge Knowledge Maps of ontological expertise within the community Social Networking maps Annotations of discussions and problem solving *Source: D.Bedford slides from

4 Mapping Goals to Reference Sources FIND people who participated in a discussion Agents (people, organizations, etc.) Agent Roles* (participant, observer, etc.) Activities or Events (conference calls, discussions) Time (now, dates, date ranges) (*Agent roles could be represented as nodes in the ontology OR as relationships between nodes OR as attributes in some other schema. No representational formalization is specified.)

5 Reference Sources within Ontolog Many Ontolog WikiWords and links are instances of Reference Sources Agents (people, organizations they work for ) Agent Roles (speaker ) Events (conference calls ) Information Assets (presentation slides and podcasts ( )

6 Whats next? Leverage tools to help build our reference model and architecture Level of granularity and complexity of representation will depend on the user goals we are trying to meet Challenges present in any ontology build: Extensible representation that isnt overly complex Knowledge governance (preventing semantic shift) Boot strapping to encourage utility