Exploiting pervasive enterprise chronicles using unstructured information management

Abstract

Strides made in semiconductor technology and pervasive devices are fueling the ability to amass ever-increasing volumes of rich multimedia data chronicling the activities and experiences of enterprise employees. Rich content analytics are crucial to exploit the potential of such electronic chronicles, which represent a vital untapped resource in today's enterprises. This paper describes a system called Picasso that adds a new dimension to Enterprise Search and Mining, by capturing and structuring information surrounding employee activities and making available vital insights from such information through our Unstructured Information Management Architecture (UIMA). © 2005 IEEE.