Abstract
Metadata Harvestings is one of the prime research fields in information retrieval. Metadata is used to references information resources. Metadata play an significant role in describing and searching document. In early stages of metadata harvesting was manually. Later on automatic metadata harvesting techniques were invented; still they are human intensive since they require expert decision to identify relevant metadata also this is time consuming. Also automatic metadata harvesting techniques are developed but mostly works with structured format. We proposed a new approach to harvesting metadata from document using NLP. As NLP stands for Natural Language Processing work on natural language that human used in day today life.
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© 2016 Springer International Publishing Switzerland
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Doshi, R.D., Sidpara, C.B., Khimani, K.U. (2016). Automatic Metadata Harvesting from Digital Content Using NLP. In: Satapathy, S., Das, S. (eds) Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 1. Smart Innovation, Systems and Technologies, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-319-30933-0_48
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DOI: https://doi.org/10.1007/978-3-319-30933-0_48
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