Learning cuneiform the modern way. - Timo Homburg; Christian Chiarcos; Thomas Richter; Dirk Wicke (DHd, 2015)

Interpreting Heterogeneous Geospatial Data Using Semantic Web Technologies. - Timo Homburg; Claire Prudhomme; Falk Würriehausen; Ashish Karmacharya; Frank Boochs; Ana Roxin; Christophe Cruz (ICCSA (3), 2016)

Word Segmentation for Akkadian Cuneiform. - Timo Homburg; Christian Chiarcos (LREC, 2016)

POSTagging and Semantic Dictionary Creation for Hittite Cuneiform. - Timo Homburg (DH, 2017)

Automatic Integration of Spatial Data into the Semantic Web. - Claire Prudhomme; Timo Homburg; Jean-Jacques Ponciano; Frank Boochs; Ana Roxin; Christophe Cruz (WEBIST, 2017)

Situation-Dependent Data Quality Analysis for Geospatial Data Using Semantic Technologies. - Timo Homburg; Frank Boochs (BIS (Workshops), 2018)

Semantische Extraktion auf antiken Schriften am Beispiel von Keilschriftsprachen mithilfe semantischer Wörterbücher. - Timo Homburg (DHd, 2018)

Semantic Data Integration and Quality Assurance of Thematic Maps in the German Federal Agency for Cartography and Geodesy. - Timo Homburg; Sebastian Steppan; Falk Würriehausen (BIS (Workshops), 2019)

Ein unscharfer Suchalgorithmus für Transkriptionen von arabischen Ortsnamen. - Magdalena Scherl; Martin Unold; Timo Homburg (DHd, 2019)

Linked Data & VGI - eine komparative Qualitätsanalyse für Deutschland, Österreich und die Schweiz auf Basis von Wikidata und OpenStreetMap / Linked Data & VGI - A Comparative Analysing of Quality forGermany, Austria and Switzerland Based on Wikidata andOpenStreetMap. - Timo Homburg; Pascal Neis (AGIT Journal Angew. Geoinformatik, 2019)

Linked Ogham Stones - Semantische Modellierung und prototypische Analyse irischer Ogham-Inschriften. - Timo Homburg; Florian Thiery (DHd, 2020)

Mind the gap: Filling gaps in cuneiform tablets using Machine Learning Algorithms. - Timo Homburg (DH, 2020)

Towards Paleographic Linked Open Data (PLOD): A general vocabulary to describe paleographic features. - Timo Homburg (DH, 2020)

GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data. - Timo Homburg; Steffen Staab; Daniel Janke (ISWC (1), 2020)

Interpretation and automatic integration of geospatial data into the Semantic Web. - Claire Prudhomme; Timo Homburg; Jean-Jacques Ponciano; Frank Boochs; Christophe Cruz; Ana-Maria Roxin (Computing, 2020)

GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data - Technical Report. - Timo Homburg; Steffen Staab; Daniel Janke (CoRR, 2020)

Connecting Semantic Situation Descriptions with Data Quality Evaluations - Towards a Framework of Automatic Thematic Map Evaluation. - Timo Homburg (Inf., 2020)

GeoSPARQL 1.1: an almost decadal update to the most important geospatial LOD standard (short paper). - Nicholas John Car; Timo Homburg (GeoLD@ESWC, 2021)

A GeoSPARQL Compliance Benchmark. - Milos Jovanovik; Timo Homburg; Mirko Spasic (ISPRS Int. J. Geo Inf., 2021)

PaleoCodage - Enhancing machine-readable cuneiform descriptions using a machine-readable paleographic encoding. - Timo Homburg (Digit. Scholarsh. Humanit., 2021)

Software for the GeoSPARQL compliance benchmark. - Milos Jovanovik; Timo Homburg; Mirko Spasic (Softw. Impacts, 2021)

Implementation and Compliance Benchmarking of a DGGS-enabled, GeoSPARQL-aware, Triplestore. - David Habgood; Timo Homburg; Nicholas John Car; Milos Jovanovik (GeoLD@ESWC, 2022)

GeoSPARQL 1.1: Motivations, Details and Applications of the Decadal Update to the Most Important Geospatial LOD Standard. - Nicholas John Car; Timo Homburg (ISPRS Int. J. Geo Inf., 2022)

Forschungssoftware rezensieren - Konzeption, Durchführung und Umsetzung. - Timo Homburg; Anne Klammt; Fabian Offert; Florian Thiery (DHd, 2023)

CNN based Cuneiform Sign Detection Learned from Annotated 3D Renderings and Mapped Photographs with Illumination Augmentation. - Ernst Stötzner; Timo Homburg; Hubert Mara (ICCV (Workshops), 2023)

R-CNN based PolygonalWedge Detection Learned from Annotated 3D Renderings and Mapped Photographs of Open Data Cuneiform Tablets. - Ernst Stötzner; Timo Homburg; Jan Philipp Bullenkamp; Hubert Mara (GCH, 2023)

MaiCuBeDa Hilprecht - Mainz Cuneiform Benchmark Dataset for the Hilprecht Collection. - Hubert Mara; Timo Homburg (heiDATA, 2023)

GeoWebAnnotations: Extending the W3C Web Annotation Data Model for geospatial data. - Timo Homburg (GeoLD@ESWC, 2024)

The Case for a Standardised CRS Ontology. - Timo Homburg; Frans Knibbe; Ghislain Atemezing; Nathalie Abadie; Luís Moreira de Sousa (GeoLD@ESWC, 2024)

PaleOrdia: Semantically Describing (Cuneiform) Paleography using Paleographic Linked Open Data. - Timo Homburg (SemDH@ESWC, 2024)

Insights into digital ancient near Eastern studies: introduction. - Shai Gordin; Marine Béranger; Timo Homburg; Hubert Mara (it Inf. Technol., 2024)

Preparing multi-layered visualisations of Old Babylonian cuneiform tablets for a machine learning OCR training model towards automated sign recognition. - Hendrik Hameeuw; Katrien de Graef; Gustav Ryberg Smidt; Anne Goddeeris; Timo Homburg; Krishna Kumar Thirukokaranam Chandrasekar (it Inf. Technol., 2024)

QPredict: Using low quality volunteered geospatial data to evaluate high quality authority data. - Timo Homburg; Steffen Staab; Frank Boochs (ACM Trans. Spatial Algorithms Syst., 2025)