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Lars Bauer

Corporate taxonomy - Wikipedia, the free encyclopedia - 0 views

  • Corporate taxonomy is the hierarchical classification of entities of interest of an enterprise, organization or administration, used to classify documents, digital assets and other information.
  • Corporate taxonomies are increasingly used in information systems (particularly content management and knowledge management systems), as a way to allow instant access to the right information within exponentially growing volumes of data in learning organizations.
  • Information intelligence: Content classification and enterprise taxonomy practice. Delphi Group. 2004. Last checked 8/20/07. This whitepaper defines taxonomy and classification within an enterprise information architecture, analyzes trends in taxonomy software applications, and provides examples of approaches to using this technology to solve business problems.
Lars Bauer

Taxonomy Strategies - 0 views

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    "Taxonomy Strategies LLC is an information management consultancy that specializes in applying taxonomies, metadata, automatic classification, and other information retrieval technologies to the needs of business."
Lars Bauer

Recommind - MindServer Categorization - 0 views

  • MindServerâ„¢ Categorization automatically maps structured and unstructured information into an information structure - taxonomy, ontology, or subject heading classification.
Lars Bauer

ChiefTech: How many people does it take to implement an information management project? - 0 views

  • example of an Australian property development company with 750 staff that implemented a document management system with the following project team: Project Manager - 60% full time; Information Manager - full time; Change Manager - 50% full time for 6 months; Classification Specialist - 2 months full time; and DMS Administrator - full time for 6 months.
Lars Bauer

Bibliography (Taxonomy Strategies) - 0 views

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    Most of the items selected are written for a general business audience, or are a basic primer on the particular topic. Much of the material is freely available on the web. Topics include: Information Management, Information Retrieval, Knowledge Management, Metadata, Search Research, Semantic Web, Taxonomy
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