Abstract
Faced with growing knowledge management needs, enterprises are increasingly realizing the importance of seamlessly integrating critical business information distributed across both structured and unstructured data sources. Academicians have focused on this problem but there still remain a lot of obstacles for its widespread use in practice. One of the key problems is the absence of schema in unstructured text. In this paper we present a new paradigm for integrating information which overcomes this problem – that of Context Oriented Information Integration. The goal is to integrate unstructured data with the structured data present in the enterprise and use the extracted information to generate actionable insights for the enterprise. We present two techniques which enable context oriented information integration and show how they can be used for solving real world problems.
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Mohania, M., Bhide, M., Roy, P., Chakaravarthy, V.T., Gupta, H. (2009). Context Oriented Information Integration. In: Hameurlain, A., Küng, J., Wagner, R. (eds) Transactions on Large-Scale Data- and Knowledge-Centered Systems I. Lecture Notes in Computer Science, vol 5740. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03722-1_12
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DOI: https://doi.org/10.1007/978-3-642-03722-1_12
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