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Researcher profile

Sören Auer

6 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Enterprise Knowledge Graphs: A Backbone of Linked Enterprise Data

    2016

    Semantic technologies in enterprises have recently received increasing attention from both the research and industrial side. The concept of Linked Enterprise Data (LED) describes a framework to incorporate benefits of semantic technologies into enterprise IT …

  2. Efficient Processing of Semantically Represented Sensor Data

    2017

    Large collections of sensor data are semantically described using ontologies, e.g., the Semantic Sensor Network (SSN) ontology. Semantic sensor data are RDF descriptions of sensor observations from related sampling frames or sensors at multiple points …

  3. Demonstration of a customizable representation model for graph-based visualizations of ontologies – GIzMO

    2019 · Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover)

    Visualizations can facilitate the development, exploration, communication, and sense-making of ontologies. Suitable visualizations, however, are highly dependent on individual use cases and targeted user groups. In this demo, we present a methodology that enables customizable …

  4. DBpedia – A large-scale, multilingual knowledge base extracted from Wikipedia

    2015 · Semantic Web

    The DBpedia community project extracts structured, multilingual knowledge from Wikipedia and makes it freely available on the Web using Semantic Web and Linked Data technologies. The project extracts knowledge from 111 different language editions of

  5. Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level

    2017

    Question Answering (QA) systems over Knowledge Graphs (KG) automatically answer natural language questions using facts contained in a knowledge graph. Simple questions, which can be answered by the extraction of a single fact, constitute a …

  6. Why Reinvent the Wheel

    2018

    Modern question answering (QA) systems need to flexibly integrate a number of components specialised to fulfil specific tasks in a QA pipeline. Key QA tasks include Named Entity Recognition and Disambiguation, Relation Extraction, and Query …