Abstract: An early vision in Computer Science has been to create intelligent systems capable of reasoning on large amounts of data. Today, this vision can be delivered by integrating Relational Databases with the Semantic Web using the W3C standards: a graph data model (RDF), ontology language (OWL), mapping language (R2RML) and query language (SPARQL). The research community has successfully been showing how intelligent systems can be created with Semantic Web technologies, dubbed now as Knowledge Graphs. However, where is the mainstream industry adoption? What are the barriers to adoption? Are these engineering and social barriers or are they open scientific problems that need to be addressed? This talk will chronicle our journey of deploying Semantic Web technologies with real world users to address Business Intelligence and Data Integration needs, describe technical and social obstacles that are present in large organizations, and scientific and engineering challenges that require attention.
Bio: Juan Sequeda’s goal as a scientist is to create knowledge from inscrutable data reliably. Juan’s research interests are on the intersection of Logic and Data for (ontology-based) data integration and semantic/graph data management. Sequeda has received the NSF Graduate Research Fellowship, 2nd Place in the 2013 Semantic Web Challenge for his work on ConstituteProject.org, Best Student Research Paper at the 2014 International Semantic Web Conference and the 2015 Best Transfer and Innovation Project by the Institute for Applied Informatics. He is on the Editorial Board of the Journal of Web Semantics, member of multiple program committees (ISWC, ESWC, WWW, AAAI, IJCAI). He was the General Chair of AMW2018, PC chair of ISWC 2017 In-Use track, co-creator of COLD workshop (7 years co-located at ISWC). As an entrepreneur, Juan is a product manager, does business development and strategy, and works with customers to understand their problems. He has served as a bridge between academia and industry as the current chair of the Property Graph Schema Working Group, member of the Graph Query Languages task force of the Linked Data Benchmark Council (LDBC) and past invited expert member and standards editor at the World Wide Web Consortium (W3C).
Research Interest: Knowledge Graphs, Semantic Web, Databases, (Ontology-Based) Data Integration, Semantic and Graph Data Management.
Date: 11/01/2019, 12.00 to 13.00.
Where: Auditorium Javier Pinto, Department of Computer Science, Universidad Católica. (Edificio San Agustín, 4to piso, Vicuña Mackenna 4860, Santiago).
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