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Word Taxonomy for On-line Visual Asset Management and Mining

Full Text: nldb99.pdf PDF

We have designed and implemented MultiMediaMiner, a system prototype to mine high-level multimedia information and knowledge from large multimedia repositories like the WWW. WordNet, a semantic network for English, was used to clean and transform sets of keywords extracted from Web pages to index multimedia objects contained in these pages. WordNet was also enriched and used to generate concept hierarchies necessary for interactive information retrieval and the construction of multi-dimensional data cubes for multimedia data mining with MultiMediaMiner.

Citation

O. Zaiane, E. Hagen, J. Han. "Word Taxonomy for On-line Visual Asset Management and Mining". International Workshop on Application of Natural Language to Information Systems, pp 271-276, June 1999.

Keywords:  
Category: In Workshop

BibTeX

@misc{Zaiane+al:NLDB99,
  author = {Osmar R. Zaiane and Eli Hagen and Jiawei Han},
  title = {Word Taxonomy for On-line Visual Asset Management and Mining},
  Pages = {271-276},
  booktitle = {International Workshop on Application of Natural Language to
    Information Systems},
  year = 1999,
}

Last Updated: September 10, 2020
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