Dr. Ulli Waltinger
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Applied Artificial Intelligence & Machine Learning Research
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Co-Chair: Human Centered AI: Trustworthiness of AI Models and Data, AAAI 2019 Fall Symposium Series in Arlington, VA, USA, November 7–9, 2019

Co-Chair: Human Centered AI: Trustworthiness of AI Models and Data, AAAI 2019 Fall Symposium Series in Arlington, VA, USA, November 7–9, 2019

7. November 2019 · by Ulli Waltinger · in Allgemein, Conference, Project

Join and discuss with us #HumanCenteredAI at the #AAAI 2019 #FallSymposiumSeries in Arlington, VA, #USA, November 7–9, 2019 – agenda is set and registration is now open: https://bit.ly/2nveduf #HumanCentered #AI: #Trustworthiness of AI #Models and #Data To facilitate the widespread…

Reports on the 2014 AAAI Fall Symposium Series

Reports on the 2014 AAAI Fall Symposium Series

30. Oktober 2015 · by Ulli Waltinger · in Project, Publications

Abstract: The AAAI 2014 Fall Symposium Series was held Thursday through Saturday, November 13–15, at the Westin Arlington Gateway in Arlington, Virginia adjacent to Washington, DC. The titles of the seven symposia were Artificial Intelligence for Human-Robot Interaction, Energy Market…

Ontology-based translation of natural language queries to SPARQL

Ontology-based translation of natural language queries to SPARQL

7. November 2014 · by Ulli Waltinger · in Project, Publications

Abstract: We present an implemented approach to transform natural language sentences into SPARQL, using background knowledge from ontologies and lexicons. Therefore, eligible technologies and data storage possibilities are analyzed and evaluated. The contributions of this paper are twofold. Firstly, we…

Natural Language Access to Enterprise Data

Natural Language Access to Enterprise Data

22. April 2014 · by Ulli Waltinger · in Project, Publications

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…

USI Answers: Natural Language Question Answering Over (Semi-) Structured Industry Data

USI Answers: Natural Language Question Answering Over (Semi-) Structured Industry Data

14. Juli 2013 · by Ulli Waltinger · in Project, Publications

Abstract: The paper reports on the progress towards the goal of offering easy access to enterprise data to a large number of business users, most of whom are not familiar with the specific syntax or semantics of the underlying data…

About

Ulli Waltinger is the Global Head of Artificial Intelligence & New Technologies at Siemens Advanta, prior Vice President & Partner for Artificial Intelligence & IoT at Siemens Advanta and a Fellow of the Siemens AI Lab. Prior he was the Head of the Machine Intelligence Research Group and the Technology Head of the Siemens AI Lab at Siemens Corporate Technology, Siemens’ global research organization

Tags

AI Artificial Intelligence Deep Learning Industrial AI Information Retrieval KI Knowledge Graph Künstliche Intelligenz Machine Intelligence Machine Learning Natural Language Processing Question Answering Responsible AI Siemens SiemensAI Siemens AI Siemens AI Lab Siemens Artificial Intelligence Social Semantics statistical modeling Sustainability Symbolic Learning

Neue Beiträge

  • Podcast: Innovation, Agents, & Democratizing Intelligence, Richard Socher, 2. September 2025 2. September 2025
  • Podcast: Leading with Purpose in the Age of AI, Judith Wiese, 21st of August 2025 21. August 2025
  • Podcast: Industrial AI in Pharma & Life Science, 1st of June 2025 19. Juni 2025

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