Dr. Paul Buitelaar –┬áSenior Lecturer at the National University of Ireland, Galway

Dr. Paul Buitelaar is Senior Lecturer and vice-director of the Data Science Institute at NUI Galway where he leads a team in Natural Language Processing (NLP). He is also co-PI of the Insight Centre for Data Analytics where he leads the SmartEnterprise demonstrator program that brings together interdisciplinary research from across the Insight Centre in close collaboration with industry partners. His main research interests are in the development and use of NLP methods and solutions for semantic-based information access. He has been involved in a large number of national and international funded projects in this area. His team develops the Saffron framework for knowledge extraction that has been applied in a wide range of industry settings, most recently at Fidelity.

Atlantec 2019 Talk : Enterprise Knowledge Graphs for the Smart Enterprise

The modern enterprise owns large amounts of underutilized legacy data that can be mined and used, in combination with public data sources such as social media and open government data, for a variety of use cases and applications, including new products and services, optimization of business processes, more efficient staff allocation and career development, improved customer satisfaction, among others. The Insight SmartEnterprise research and demonstrator program aims at establishing efficient and dynamic methods for the meaningful analysis, interpretation and integration of such data, as well as deriving actionable knowledge from it for generating informed recommendations and decision support. The overarching goal is to develop a data value chain from i) raw enterprise and open data sources, through ii) data analysis and enrichment, to iii) recommendation, optimisation and decision support. At the core of this is the dynamic generation and maintenance of an enterprise knowledge graph that captures, represents and interrelates all relevant knowledge items across and beyond the enterprise, building on and extending research from across research disciplines, including natural language processing, computer vision, semantic technologies, graph analysis, machine learning, recommender systems, decision support and optimisation. The SmartEnterprise research program will be introduced in this presentation and illustrated with a use case at Fidelity on enterprise knowledge graph development for virtual assistants.

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