Paper:

•  Assisting the Discovery and Reuse of Document-based Knowledge using semantic Metadata

Management of unstructured Information using semantic Metadata

The amount of unstructured electronic documents in enterprise environments is growing rapidly. The  ConSense project aims to assist the enterprise wide lifecycle management of electronic documents by utilizing the context of document access by knowledge workers. From this context data one can deduct semantic relations among documents and business-domain specific entities which can be combined into a semantic network. Querying the resulting network allows for the discovery and reuse of unstructured documents.

Actual Business Domain

Knowledge workers use, create and collaborate with documents in business processes.

Context Sensors

Client-side software plugins track the context of business-relevant document usage and submit it in condensed form to the central semantic virtualization-store.

Semantic Virtualization

The context information is analyzed using heuristic business-rules resulting in semantic relationships among documents, persons, products, processes and services within the domain.

Task-specific Information

The semantic relationships are used to proactively supply knowledge workers with information and documents related to their actual task-context.

ConSense is a project of the  Department for Information Systems II (Service and Process Management -  Prof. Bodendorf)
 University of Erlangen-Nürnberg
Project contact:  Hinnerk Bruegmann

Student Participation - Master Thesis

• Sauer, Dieter: Automatic Detection of HCI Action Clusters and corresponding Workflow Patterns (Automatische Erkennung von Aktionsclustern und deren Zuordnung zu Workflows)

• Sauer, Dieter: Using Metaanalysis to extract contextual Information from the local File System

• Heckl, Christian: Interaktive Informationsvisualisierung im "Document Lifecycle Management"

• Steininger, Oliver: Erkennung von E-Mail Konversationsfäden (Recognizing Conversation Threads in Email Communication)

Student Participation - Term Papers

• Heckl, Christian; Sauer, Dieter: Unterstützung der Analyse von Informationszusammenhängen durch selektive Visualisierung (Supporting the Analysis of interconnected Information by selective Visualization)

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