Sören Auer

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 …

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 …

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 …

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

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 …

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 …