A Visual Semantic Framework for Innovation Analytics

Authors

  • Walid Shalaby University of North Carolina, Charlotte
  • Kripa Rajshekhar Metonymy Labs
  • Wlodek Zadrozny University of North Carolina, Charlotte

DOI:

https://doi.org/10.1609/aaai.v30i1.9838

Keywords:

semantic analysis, innovation analytics, congnitive assistance, visual framework

Abstract

In this demo we present a semantic framework for innovation and patent analytics powered by Mined Semantic Analysis (MSA). Our framework provides cognitive assistance to its users through a Web-based visual and interactive interface. First, we describe building a conceptual knowledge graph by mining user-generated encyclopedic textual corpus for semantic associations. Then, we demonstrate applying the acquired knowledge to support many cognition and knowledge based use cases for innovation analysis including technology exploration and landscaping, competitive analysis, literature and prior art search and others.

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Published

2016-03-05

How to Cite

Shalaby, W., Rajshekhar, K., & Zadrozny, W. (2016). A Visual Semantic Framework for Innovation Analytics. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9838