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Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
Everything you wanted to know about taxonomies in share point
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Everything you wanted to know about taxonomies in share point

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  • Project Performance Corporation, part of the AEA group, is a management consulting firm integrating cutting edge IT expertise and management consulting for top government and Fortune 500 decision makers. Ms. Tabuchi is an expert in information architecture, taxonomy design, and portal strategy for clients in the government, media, hospitality, and products industries. She has significant experience in the design, maintenance, and content management of Microsoft Office SharePoint Server 2007 and Oracle Web Center portal and related systems. In addition, she possesses expertise in web usability and project strategy.  She is a frequent speaker on topics including taxonomy design, social computing, portal strategy, content management, and web usability.
  • Project Performance Corporation, part of the AEA group, is a management consulting firm integrating cutting edge IT expertise and management consulting for top government and Fortune 500 decision makers. Ms. Tabuchi is an expert in information architecture, taxonomy design, and portal strategy for clients in the government, media, hospitality, and products industries. She has significant experience in the design, maintenance, and content management of Microsoft Office SharePoint Server 2007 and Oracle Web Center portal and related systems. In addition, she possesses expertise in web usability and project strategy.  She is a frequent speaker on topics including taxonomy design, social computing, portal strategy, content management, and web usability.
  • Traditional search assumes the end user knows what they are looking for, or must enter the ‘right’ combination of words to get the ‘right’ result.Knowledge workers need to identify content in the context of what they are seeking. The fundamental problem with search solutions is that they are based on an index of single words. Yet most queries are expressed in short patterns of words and not single words in isolation – which are highly ambiguous. In the example above, a search engine would identify all the documents that contained the words: triple, heart, bypass instead of documents that contained the concept of ‘triple heart bypass’. Since the concept has been identified, other documents that have related concepts will be identified even if they do not contain that exact phrase. The metadata generation issue is increasingly a growing concern in enterprises. Not only for search but also for records management, compliance, and enterprise content management. A comprehensive approach requires more than syntactic metadata and requiring end users to add rich metadata is haphazard and subjective at best. Since conceptClassifier for SharePoint is no longer restricted to keyword identification, compound term metadata can be automatically generated either when the content is created or ingested. The generation of metadata based on concepts extracts compound terms and keywords from a document or corpus of documents that are highly correlated to a particular concept. By identifying the most significant patterns in any text, these compound terms can then be used to generate non-subjective metadata based on an understanding of conceptual meaning. Compound term processing can address many challenges facing large enterprises and provide many benefits. Identification of concepts within a large corpus of information removes the ambiguity in search, eliminates inconsistent meta-tagging, and automatic classification and taxonomy management based on concept identification simplifies development and on-going maintenance.  
  • Can have multiple instances of managed Metadata Services – ideal approach is to have an ‘Enterprise’ taxonomy and then could have multiple ‘local’ or ‘regional’ taxonomiesGroups are the security boundary that provides the ability to have groups of users who will manage themAlways use a core Managed Metadata Service term store for the enterprise taxonomy• Allow local Managed Metadata Services for isolated, locally managed term stores• Always use synonyms when defining terms, consistent content tagging is essential for content management and for driving findability• Use term translation to support other languages for the term• Avoid random or haphazard tagging due to unintelligible terms• Enable managed keywords for user-driven freeform tagging of content• Ensure that term sets are evolved according to best practices• Define and enforce a policy for reviewing open term sets for improper usageNote that search do not comprise term synonyms or translations when searching, it only finds the stored key term. The same applies to faceted search – or 'refinement panels' as they are called.You can have multiple Term Set stores and Content Type Hub inventories in SharePoint 2010. This allows for combining both enterprise definitions and local definitions to support both shared and isolated taxonomy configurations. See Plan to share terminology and content types on Technet.
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