Papers and case studies

Learning Concept Embeddings for Efficient Bag-of-Concepts Densification

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 This paper proposes two neural embedding models in order to learn continuous concept vectors. Once learned, an efficient vector aggregation method to generate fully dense bag-of-concepts representations is proposed. Empirical results on a benchmark dataset for measuring entity semantic relatedness show superior performance over other concept embedding models.

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Mined Semantic Analysis: A New Concept Space Model for Semantic Representation of Textual Data

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 Mined Semantic Analysis (MSA) represents textual structures as a Bag of Concepts (BoC) where concepts are derived from encyclopedic corpora. MSA uncovers implicit relations between concepts by mining for their associations. Empirical results show competitive performance of MSA compared to prior state-of-the-art methods. 

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Analysis of the USPTO’s Statistical Mapping Between the CPC System and USPC System.

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 This study concludes that researchers need to be careful when using CPC codes to define technology areas and to compare technology trends over time periods that include the USPTO’s transition from the USPC system to the CPC system. Specifically, if their period of study includes 2013 to 2015, aggregated with any time period before or after those years, patent codes should likely not be used to define the technology area under study. 

Exploring Emerging Technologies Using Patent Data and Patent Classification

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 This paper reports preliminary results on discovering emerging new technologies. One technique uses the corpus of US patents and the ontology implicit in the patent examiner's classification manual. It also explores using topic modeling and interactive visualization techniques to find emerging technology trends and validates such discoveries by interacting with patents metadata and text.

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Exoskeletons: A Technology Exploration Using Patent Data Visualization

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This case study developed an interactive visualization that allows for the exploration of the exoskeleton technology landscape. The visualization can be used to understand the sub-technologies required to complete an exoskeleton system, the organizations currently working on each sub-technology, and the level of innovative investment being made in each sub-technology. If your company is interested in a similar visualization for your product, please reach out to us.

Determining Technical Diversity of an Organization's Innovation Strategy

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This case study developed a method for assessing the technological diversity of a company’s innovation strategy. Is your company’s innovation strategy driven by combining technologies from a broad set of relatively unrelated technological domains or does your innovation sprout from the combination of closely related technologies?  Is your company combining technologies in novel ways?  How does your technological diversity compare to your competitors?  Contact us to learn how we can assess your innovative diversity.

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