Title | A framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps |
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Authors | Xu, J., Li, Z., Li, Shuliang and Yanyan, Z. |
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Type | Conference paper |
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Abstract | There is still a lack of effective paradigms and tools for analysing and discovering the contents and relationships of project knowledge contexts in the field of project management. In this paper, a new framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps under big data environments is proposed and developed. The conceptual paradigm, theoretical underpinning, extended topic model, and illustration examples of the ontology model for project knowledge maps are presented, with further research work envisaged. |
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Keywords | project knowledge context extraction; topic model; dynamic knowledge map |
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Year | 2015 |
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Conference | Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96311P (July 6, 2015); doi:10.1117/12.2196528 |
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Publisher | SPIE |
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Publisher's version | |
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Publication dates |
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Published | 2015 |
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Journal | SPIE Proceedings |
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Journal citation | 9631, p. 96311P |
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ISSN | 0277-786X |
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Funder | .Other external funder (add details in Notes below) |
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Digital Object Identifier (DOI) | https://doi.org/10.1117/12.2196528 |
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Web address (URL) of conference proceedings | http://proceedings.spiedigitallibrary.org/volume.aspx?conferenceid=3533&volumeid=17249 |
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