As of Januar 2012, I am a senior key expert and project manager at Siemens Corporate Technology in Munich. Since October 2010 I was working at the Artificial Intelligence Group at Bielefeld University doing my post-doctoral research at the Excellence…
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…
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…
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…
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…
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…
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…
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…
Abstract: Research results in the field of Question Answering (QA) have shown that the classification of natural language questions significantly contributes to the accuracy of the generated answers. In this paper we present an approach which extends the prevalent question…
A Lexical Resource for German Sentiment Analysis: Feel free to use/download the GermanPolarityClues dictionary A new publicly available lexical resource for sentiment analysis for the German language The resource offers a number of 10.141 polarity features, associated to three numerical…
WikiQA is a German open domain question answering system that uses the Wikipedia as a knowledge base to answer natural language questions. It has been developed by the KnowCIT project (Artificial Intelligence Group) within the CITEC at Bielefeld University. Using…
