Dr. Ulli Waltinger
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Applied Artificial Intelligence & Machine Learning Research
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Smart Data Access: Semantic Web Technologies for Energy Diagnostics

Smart Data Access: Semantic Web Technologies for Energy Diagnostics

23. Oktober 2014 · by Ulli Waltinger · in Project, Publications

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…

LinkedHealthAnswers: Towards Linked Data-driven Question Answering for the Health Care Domain

LinkedHealthAnswers: Towards Linked Data-driven Question Answering for the Health Care Domain

28. Mai 2014 · by Ulli Waltinger · in Project, Publications

Abstract: This paper presents Linked Health Answers, a natural language question answering systems that utilizes health data drawn from the Linked Data Cloud. The contributions of this paper are three-fold: Firstly, we review existing state-of-the-art NLP platforms and components, with a special…

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…

Market Intelligence: Linked Data-driven Entity Resolution for Customer and Competitor Analysis

Market Intelligence: Linked Data-driven Entity Resolution for Customer and Competitor Analysis

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

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…

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Twitter: ulliwaltinger

Ulli Waltinger
  • “A cyberpunk illustration of an Consultant and Artificial Intelligence go hand in hand to the Client, digital art”… https://t.co/aeEB81pkFd 08:49:26 AM Juni 24, 2022 from Twitter Web App ReplyRetweetFavorite
  • RT @WillManidis: The tapping process is done via "intercept probe" A small device containing a prism that splits the light coming across t… 07:28:04 AM Juni 16, 2022 from Twitter for iPhone ReplyRetweetFavorite
  • RT @tunguz: Forget DALL•E, the future belongs to AI for curve fitting. https://t.co/5XlktZs79S 12:50:29 PM Juni 06, 2022 from Twitter for iPhone ReplyRetweetFavorite
  • RT @Siemens: AI research and innovation are vital at Siemens: more than 30% of our PhD students work on AI topics. Find out how Siemens con… 06:41:38 PM Mai 19, 2022 from Twitter for iPhone ReplyRetweetFavorite
  • #BionicReading - 💪 pretty cool 😎 https://t.co/gcGDPMu0f4 01:21:35 PM Mai 19, 2022 from Twitter for iPhone ReplyRetweetFavorite
  • RT @kevin2kelly: I just turned 70. Here is my advice which I wish I had known earlier. https://t.co/QbixszWwOX 10:05:55 AM April 29, 2022 from Twitter for iPhone ReplyRetweetFavorite
  • RT @MIT_CSAIL: "Programs must be written for people to read, and only incidentally for machines to execute." ― MIT professor Harold Abelson 06:57:49 PM April 11, 2022 from Twitter for iPhone ReplyRetweetFavorite
@ulliwaltinger

About

Ulli Waltinger is the Associate Vice President for Artificial Intelligence & IoT (#AIoT) at Siemens Advanta Consulting 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 Digital Libraries Industrial AI Information Retrieval KI Knowledge Graph Künstliche Intelligenz Machine Intelligence Machine Learning Natural Language Processing Question Answering Responsible AI Siemens AI SiemensAI Siemens AI Lab Siemens Artificial Intelligence Social Semantics statistical modeling Sustainability Symbolic Learning

Neueste Beiträge

  • 3 Levels by MUC.DAI x Founders | Künstliche Intelligenz (KI), 11th November 2021 4. November 2021
  • Talk: How to combine Enterprise AI and IndustrialAI for the Electric Utilties, IoT Solutions World Congress Digital Summit 11th of May 2021, Siemens Advanta Consulting 11. Mai 2021
  • Artificial Intelligence & IoT (#AIoT) at Siemens Advanta Consulting 1. Mai 2021

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