Timo Homburg
Timo Homburg
Phd Student, i3Mainz, Hochschule Mainz
Verified email at hs-mainz.de - Homepage
Title
Cited by
Cited by
Year
Akkadian word segmentation
T Homburg, C Chiarcos
Proceedings Tenth International Conference on Language Resource Evaluation …, 2016
14*2016
Automatic Integration of Spatial Data into the Semantic Web.
C Prudhomme, T Homburg, JJ Ponciano, F Boochs, A Roxin, C Cruz
WebIST, 107-115, 2017
132017
Interpreting heterogeneous geospatial data using semantic web technologies
T Homburg, C Prudhomme, F Würriehausen, A Karmacharya, F Boochs, ...
International Conference on Computational Science and Its Applications, 240-255, 2016
92016
Interpretation and automatic integration of geospatial data into the semantic web
C Prudhomme, T Homburg, JJ Ponciano, F Boochs, C Cruz, AM Roxin
Computing 102 (2), 365-391, 2020
82020
Situation-dependent data quality analysis for geospatial data using semantic technologies
T Homburg, F Boochs
International Conference on Business Information Systems, 566-578, 2018
52018
POSTagging and Semantic Dictionary Creation for Hittite Cuneiform
T Homburg
DH2017, 2017
42017
Semantische Extraktion auf antiken Schriften am Beispiel von Keilschriftsprachen mithilfe semantischer Wörterbücher
T Homburg
Digital Humanities im deutschsprachigen Raum (DHd 2018), 2018
32018
Learning Cuneiform The Modern Way
T Homburg, C Chiarcos, T Richter, D Wicke
DHd 2015, 2015
32015
Semantic Data Integration and Quality Assurance of Thematic Maps in the German Federal Agency for Cartography and Geodesy
T Homburg, S Steppan, F Würriehausen
International Conference on Business Information Systems, 543-555, 2019
22019
Using an INSPIRE Ontology to Support Spatial Data Interoperability
F Würriehausen, T Homburg, H Müller
INSPIRE 2016, 2016
22016
GeoSPARQL+: syntax, semantics and system for integrated querying of graph, raster and vector data
T Homburg, S Staab, D Janke
International Semantic Web Conference, 258-275, 2020
12020
Paleo Codage - A machine-readable way to describe cuneiform characters paleographically
T Homburg
DH2019, 2019
12019
Identification and classification of objects in 3D point clouds based on a semantic concept
JJ Ponciano, F Boochs, A Tremeau
12019
Map change prediction for quality assurance
T Homburg, F Boochs, C Cruz, AM Roxin
Adjunct Proceedings of the 14th International Conference on Location Based …, 2018
12018
Integration, Quality Assurance and Usage of Geospatial Data with Semantic Tools
T Homburg, C Prudhomme, F Boochs, C Christophe, A Roxin
gis.Science 3, 2017
12017
Connecting Semantic Situation Descriptions with Data Quality Evaluations—Towards a Framework of Automatic Thematic Map Evaluation
T Homburg
Information 11 (11), 532, 2020
2020
GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data--Technical Report
T Homburg, S Staab, D Janke
arXiv preprint arXiv:2009.05032, 2020
2020
Evaluating linked data location based services using the exam-ple of Stolpersteine
T Homburga, K Böhma, N Bruhna, G Hubricha
Advances in Cartography and GIScience of the ICA 2, 7, 2019
2019
Linked Data & VGI - Eine komparative Qualitätsanalyse für Deutschland, Österreich und die Schweiz auf Basis von Wikidata und OpenStreetMap
T Homburg, P Neis
AGIT - Journal für Angewandte Geoinformatik 52019, 141-156, 2019
2019
A Fuzzy Search Algorithm for Transcriptions of Arabic Place Names
M Scherl, M Unold, T Homburg
Dhd2019, 2019
2019
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Articles 1–20