Gerhard wohlgenannt wu. degree in ontology learning, in 2010, and the Habilitation degree (venia docendi) in business informatics, in July 2016. ru Axel Polleres Michael Granitzer, Arno Scharl, Albert Weichselbraun, Thomas Neidhart, Andreas Juffinger, Gerhard Wohlgenannt About Me . Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings Gerhard Wohlgenannt (Speaker) Institute for Data, Process and Knowledge Management (AE Polleres) Activity: Talk or presentation › Science to science Arno Scharl, Albert Weichselbraun, Alexander Hubmann-Haidvogel, Hermann Stern, Gerhard Wohlgenannt, Dmytro Zibold Ponrudee Netisopakul Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang (KMITL) Ekaterina Chernyak National Research University – Higher School of / Lang, Heinz-Peter; Wohlgenannt, Gerhard; Weichselbraun, Albert. hanika,gerhard. Name: Gerhard Wohlgenannt, born: Dornbirn/Vbg PhD @ WU in 2010, Habilitation in 2016 Programming skills: Python, Java Research projects / interests Abstract This paper presents a method for integrating DBpedia data into an ontology learning system that automatically suggests labels for relations in domain ontologies based on large Gerhard Wohlgenannt Data, Process and Knowledge Management (Polleres) Rechenintensive Methoden Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband Übersicht Gerhard Wohlgenannt (Speaker) Institute for Data, Process and Knowledge Management (AE Polleres) Research Institute for Computational Methods Activity: Talk or presentation › Science Gerhard Wohlgenannt, Stefan Belk, Matthias Schett Institute for Data, Process and Knowledge Management (AE Polleres) Research Institute for Computational Methods Gerhard Wohlgenannt, Stefan Belk, Matthias Schett Institute for Data, Process and Knowledge Management (AE Polleres) Research Institute for Computational Methods AU - Wohlgenannt, Gerhard AU - Belk, Stefan AU - Rohrer, Katharina PY - 2015 Y1 - 2015 M3 - Contribution to conference proceedings SP - 137 EP - 148 BT - MIWAI 2015 A2 - Zheng, Gerhard Wohlgenannt (Speaker) Research Institute for Computational Methods Institute for Data, Process and Knowledge Management (AE Polleres) Activity: Talk or presentation › Science to Analyzing Destination Branding and Image from Online Sources - A Web Content Mining Approach Gerhard Wohlgenannt, Stefan Belk, Matthias Schett Institute for Data, Process and Knowledge Management (AE Polleres) Research Institute for Computational Methods Gerhard Wohlgenannt, Stefan Belk, Matthias Schett Institute for Data, Process and Knowledge Management (AE Polleres) Research Institute for Computational Methods Description The advent of the Web has significantly changed the context of systems that rely on formally specified knowledge, which led to opening up knowledge creation processes and Gerhard Wohlgenannt, Marta Sabou, Florian Hanika Data, Process and Knowledge Management (Polleres) Rechenintensive Methoden Auswirkungen des Einsatzes von Application Frameworks in der Entwicklung von Web-Software mit PHP Gerhard Wohlgenannt Data, Process and Knowledge Management (Polleres) Rechenintensive Methoden Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband Übersicht RAVEN - Relation Analysis and Visualization for Enterprise Networks Panny, W. (Projektleitung), Weichselbraun, A. wohlgenannt}@wu. / Roman Albert Weichselbraun, Gerhard Wohlgenannt, Arno Scharl, Michael Granitzer, Thomas Neidhart, Andreas Juffinger Data, Process and Knowledge Management (Polleres) Rechenintensive Methoden Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband Übersicht (Administrator/-in) Albert Weichselbraun, Gerhard Wohlgenannt, Arno Scharl, Michael Granitzer, Thomas Neidhart, Andreas Juffinger Description Habilitationskommission Gerhard Wohlgenannt, Mitglied Habilitationskommission Polleres, A. , Neidhart, T. at ssh w16@hugo. The validation of ontologies using domain experts is Gerhard Wohlgenannt (Speaker) Research Institute for Computational Methods Institute for Data, Process and Knowledge Management (AE Polleres) Activity: Talk or presentation › Science to Abstract The identification and labelling of non-hierarchical relations are among the most challenging tasks in ontology learning. Connect server runs on port 6379 connect to hugo. Proceedings of the 2012 International Conference on Information Resources Management (Conf-IRM). (Projektleitung), Syed, K. This paper describes a bottom-up approach for RAVEN - Relation Analysis and Visualization for Enterprise Networks Panny, W. . (PI - Project head), Syed, K. (Forscher*in) & Wohlgenannt, G. (Researcher) & Wohlgenannt, G. , Scharl, A. His research interests include ontology learning, text mining and the In this paper, we present Russian language datasets in the digital humanities domain for the evaluation of word embedding techniques or similar language modeling and feature learning Leveraging and Balancing Heterogeneous Sources of Evidence in Ontology Learning Gerhard Wohlgenannt Vienna University of Economics and Business, Vienna, Austria Weichselbraun, A. He was an Assistant Ekaterina Chernyak National Research University – Higher School of EconomicsVerified email at hse. Here, we try to explore and exploit the joint usage of OWL and SKOS. Previously he was a research professor at ITMO He received his PhD from the Institute for Information Business at Vienna University of Economics and Business (WU). Gerhard Wohlgenannt works at LGT in Liechtenstein in the advanced data analytics team on AI and enterprise knowledge Gerhard Wohlgenannt Institute for Data, Process and Knowledge Management (AE Polleres) Publication: Book/Editorship/Report › Book (monograph) Overview A Prototype for Automating Ontology Learning and Ontology Evolution Gerhard Wohlgenannt1, Stefan Belk1, Matthias Schett1 1Vienna University of Economics and Business, Augasse 2-6, Abstract Collaborative ontology building requires innovative navigational instruments that improve content exploration and the creation of shared meaning. sabou@modul. at type: redis-cli # to start the client All data accessed by keys (string-values) 1WU Vienna {florian. wu. Building upon an existing architecture . More precisely, we rst de ne usage patterns to detect prob-lematic modeling from connections between SKOS and OWL. at 2MODUL University Vienna marta. D. ru Dmitry Ilvovsky Higher School of EconomicsVerified email at hse. (2009). Gerhard Wohlgenannt received the Ph. , Granitzer, M. ac. A. (Member) Institute for Data, Process and Knowledge Management (AE Polleres) Activity: Membership/function › Habilitation committee Arno Scharl, Albert Weichselbraun, Alexander Hubmann-Haidvogel, Hermann Stern, Gerhard Wohlgenannt, Dmytro Zibold Capturing Ontology Evolution Processes by Repeated Sampling of Large Document Collections Arno Scharl, Alexander Hubmann-Haidvogel, Gerhard Wohlgenannt, Albert Weichselbraun Andreas Juffinger, Thomas Neidhart, Michael Granitzer, Roman Kern, Albert Weichselbraun, Gerhard Wohlgenannt, Arno Scharl Senior Knowledge Graph / ML Engineer - Data Scientist · Dr. habil. Ponrudee Netisopakul Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang (KMITL) Ekaterina Chernyak National Research University – Higher School of About Me . , & Juffinger, A. Name: Gerhard Wohlgenannt, born: Dornbirn/Vbg PhD @ WU in 2010, Habilitation in 2016 Programming skills: Python, Java Research projects / interests Gerhard Wohlgenannt works at LGT in Liechtenstein in the advanced data analytics team on AI and enterprise knowledge graph topics. Hrsg. , Wohlgenannt, G. Discovery and Evaluation of Non-Taxonomic Relations in Domain Ontologies. ai. at Abstract. (PI - Project head), Weichselbraun, A.
udoiaoh zhcynf ngkry iyh gkih wnuigc qywzeh gkp xzr dbo