Qualitative Pre-Processing for Semantic Search of Unstructured Knowledge

There has been a growing interest in treating knowledge as a significant organizational resource. Consistent with the interest in organizational knowledge, knowledge management has been constantly evolving over the last few years (Nonaka, 2005). Identification, acquisition, storage, dissemination, development and utilization of knowledge have been identified as the main tasks of knowledge management (Abecker and Decker, 1999). The advent of high throughput data acquisition technologies as well as digital storage technologies have made it possible to gather and store large amount of data in electronic form resulting in vast amount of information. Accurate and speedy access is required to such repositories, as knowledge is acquired by retrieving information (facts, text, document, images, audio, video etc.). Knowledge Management Systems have to struggle to overcome the information overload. Finding particular piece of knowledge within large knowledge repositories can be very difficult. Two related problems to do with knowledge retrieval are a. the issue of finding knowledge again, once it has been stored and b. the problem of retrieving the subset of content from the repository that is relevant to a particular problem. A large section of researchers within knowledge management is AbSTRACT