Semantic Web Mining of Un-structured Data: Challenges and Opportunities

The management of unstructured data is acknowledged as one of the most critical unsolved problems in data management and business intelligence fields in current times. The major reason for this unresolved problem is primarily because of the actuality that the methods, systems and related tools that have established themselves so successfully converting structured information into business intelligence, simply are ineffective when we try to implement the same on unstructured information. New methods and approaches are very much necessary. It is a known realism that huge amount of information is shared by the organizations across the world over the web. It is, however, significant to observe that this information explosion across the globe has resulted in opening a lot of new avenues to create tools for data management and business intelligence primarily focusing on unstructured data. In this paper, we explore the challenges being faced by information system developers during mining of unstructured data in the context of semantic web and web mining. Opportunities in the wake of these challenges are discussed towards the end of the paper.