SASA - A Semi-Automatic Semantic Annotator for Personal Knowledge Management

نویسندگان

  • Kim Tighe
  • Sean O' Riain
چکیده

Best practice organisations have realised that people and their knowledge remain their greatest assets and will continue to be the largest contributory factor in obtaining future competitive advantage. Knowledge fundamentally derived from people in the absence of their understanding, personal context and application remains largely as obscure information. Current personal knowledge management (PKM) activities do not adequately support the finding, reminding, reuse and collaboration of information. In this paper we propose a novel PKM tool called SASA, a semi-automatic semantic annotator of PDF documents, which will enable collecting, connecting and collaborating of discovered information to facilitate knowledge sharing and personal content management within a business setting. SASA, a plug-in for Adobe Acrobat Professional, utilises Semantic Web technologies to enable building, augmenting and sharing of ontologies amongst knowledge workers. Within an ontology named entities are connected to additional information such as Web pages, documents, mail messages, personal notes, and wikis. SASA automatically derives the context of the document, highlights named entities and applies the relevant additional information. The business case for such a tool is outlined and user scenario development used to illustrate how SASA will assist Business Client Account Managers in the laborious process of reviewing, annotating and gathering information from customer documentation by enhancing their PKM.

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تاریخ انتشار 2006