Smart Data Access: Semantic Web Technologies for Energy Diagnostics
Abstract: In today‘s (big) data-intensive world, scalable technologies enabling the efficient management, storage and analysis of large data set are needed. However, the underlying logic of the emerging data-driven business is very different to the established understanding of the traditional…
AAAI 2014 Fall Symposium: Natural Language Access to Big Data (NLA2BD)
November 13–15, 2014. Westin Arlington Gateway in Arlington, Virginia adjacent to Washington, DC. Motivation and Scope: Today’s enterprises need to make decisions based on analyzing massive and heterogeneous data sources. More and more aspects of decision making are driven by…
Natural Language Access to Enterprise Data
Abstract:This paper describes USI Answers — a natural language question answering system for enterprise data. We report on the progress towards the goal of offering easy access to enterprise data to a large number of business users, most of whom…
Market Intelligence: Linked Data-driven Entity Resolution for Customer and Competitor Analysis
Abstract: In this paper, we present a linked data-driven method for named entity recognition and disambiguation which is applied within an industry customer and competitor analysis application. The proposed algorithm primarily targets the domain of geoparsing and geocoding, but it…
