Results

Forecasting of the Traffic Situation in the Hannover Region

The main requirement of road traffic participants is to know the current traffic situation. Such data is typically obtained from routing services where the time of many different individual trips is taken into account.

In the context of Data4UrbanMobility tools were developed that allow to predict the traffic situation based on such time series data. The following figure presents an interface to visualize typical time series patterns as well as outliers present in the data:

The prediction of the traffic situation is made available in the form of a map based interface for the end user:

Data4UrbanMobility Data Protection Regulation

The work on the Data4UrbanMobility data protection regulation is completed. The document is publicly available and can be found here.

First Version of MiC-App Available

A first version of the novel MiC-App (Move in the City) App is now available for D4UM-associates as well as a protected group of public users. The mobile MiC-App is a tool to gather data.

MiC was developed by the Institute for Sustainable Urbanism at the University of Braunschweig and the Projektionisten GmbH. MiC links the growing  awareness of  digital citizen rights with the potential of evaluation big datasets. Therefore MiC gives the opportunity to citizen to actively participate in a citizen science project to take part in the development of the mobility of the feature.

MiC gathers data of the users movement, where the user has the about which data should be recorded. All data is pseudonymised such that the privacy of the contributing citizen is ensured.

Current Status:

In the first version of the app, the user can easily start and end the tracking of his/her movement. It is worth to point out, that the user decides when he is tracked and when not. A summary of his/her activity is available for the user as well as the opportunity to issue feedback or even delete all of his contributed data.

Updated System with Dashboard V2

With the new version of our system,  the dashboard will provide even more insights into the impact of public events on the traffic situation.

The coloring and labels let us easily distinguish between the different type of events. By clicking on the label we show the typically affected subgraph for that event type. This allows the user to check what specific routes are typically affected by an event at that location.

Examples: Visualisation of a concert and a football game.

In addition, the graph at the top right gives additional information on how big the impact around the events start time tends to be.

{API}
We enriched the api endpoints with additional information from the data models that were developed as part of the research efforts.

D4UM App Version 1.0

We just released the first Version of the D4UM App. Every project member now has access to the application and can try out its features. Let’s quickly go over some of its main features.
The EFA integration (EFA is a routing engine covering Lower Saxony and Bremen ) allows for quick access to tip information using all available public transport options. Our focus, when designing the application, was on quick and easy navigation to provide a simple and easy to use trip planning tool.

Departures and Connections

On the departure screen we show the user the closes stops for public transportation in his immediate vicinity. On the connection screen the user can fill in his desired starting location( either an address or an existing stop ) and destination and query for what connections are available to him. The provided information contains real time data , meaning we are able to visualized delays for any given connection.

 

 

Map

On the map screen you can see and or find all available stops of public transportation. This allows for providing the user with a great way to find out what stops are available in their city. By clicking on any of the shown stops will open the departure screen and provide you with the information mentioned above. To better visualize a selected connection, we show the route you plan to travel on the map.

 

Menu / Settings

Additional features can be found in the settings menu of the application. Here you can find settings that allow you to customize your routing results for both the departures and connection screen. The best way to let us know what you think about the application is to use the feedback module. This can be found here as well. First click on the emoji that best describe how you feel about the app. And then put in any additional information or ideas or thoughts you may have. Now what is left is just to press send and you will send us an email.

We look forward to hearing from you.

Quantification  and Prediction of Impact of Public Events

Current Data4UrbanMobility research results allow for measuring and prediction of spatial impact on road traffic of public events. Connected, affected street segments nearby public events are identified to measure the spatial impact. The approach is depicted in the following figure:

(Karte von https://www.openstreetmap.org)

An event is marked as yellow dot, affected streets in red and the measured impact in dark blue. Moreover, an approach making use of machine learning algorithms was developed to predict the impact determined in this way, resulting an error-reduction of up to 40% when compared to existing state-of-the-art approaches.

D4UM – Platform V1 Released

The first version of the Data4UrbanMobiltiy platform has been released. The platform was designed and implemented following a 3-tier-architecture. The platform provides RESTfull Web services for mobility applications like dashboards or mobile apps. As a demonstration, an interactive map application has been developed that visualizes the spatial impact of public events. The following figure shows a screenshot of the application.

The figure shows 4 public events in the city of Hannover. The colors represent different types of public events (e.g. concerts, fairs, sport events). The circles visualize the spatial impact on road traffic caused by the public events.

Comprehensive Set of Requirements

The Data4UrbanMobility analysis of requirements includes requirements of the application partners Region Hannover (RH) and Wolfsburg AG (WAG) as well as non functional requirements. The requirements were collected by MOMA. The L3S derived research question for data analysis which are based  on the requirements of RH and WAG. The research question address especially the information needs of end-users.

The current research questions particularly include

  1. Automated verification of traffic warnings and prediction of their impact
  2. Identification of events and prediction of their impact
  3. Investigation of correlation of road traffic data, public transportation query logs, traffic warnings and twitterfeeds
  4. Determination of optimal traveling timepoints

Growing Data Collection

ISU create a comprehensive data matrix containing potential source of mobility related data. The Data4UrbanMobility data model describes all project relevant data sets and sets them into context. This makes the data available in a unified manor for both analysis and applications. The selected data sources were transformed according to the Data4UrbanMobility data model by L3S. The data quality of selected data sources (i.e. public transportation query logs and road traffic data) was examined.

Tools for extracting the relevant information from the datasets were developed to enable the integration of the datasets.

  • Street and graph extraction from OpenStreetMap
  • Bulkloader for public transportation queries
  • Integration of “Zentrales Haltestellen Verzeichniss” (central registry of public transportation stops)

The current collection (December 12th 2017) contians

EFA-Logs: 17 million public transportation queries
Road traffic data: 174 thousand street sements with a frequency of 15 minutes
GTFS-data: 90 thousand. public transportation stops, 2.6 thousand routes
Weather: Radolan “Regenraster” (rain grid)
Twitter: 2,5 Mio. Tweets starting at June 2017

OSM: 440 thousand streets 
Events: 21 thousand public events (August 14th 2016-July 17th 2018)

Traffic warnings: 13 thousand warning (since June 2017)

Visualization of Public Transportation Information

In order to allow intuitive analytics of public transportation information, the PROJEKTIONISTEN (PROJ) developed a dashboard web application. First prototypes visualize queries addressed to the regional timetable information system EFA (www.efa.de). The prototypes serve as foundations for exploration analyses as well as the implementation of future versions of the dashboard. The following figure shows an integrated visualization of the most frequent origins and destinations of the queries.

Analysen der EFA-Logs

Analysis of EFA Public Transportation Query Logs

Analyses regarding the impact of public events on public transportation are currently conducted to address early research questions. To this extend, explorative data analyses of the impact of major public events such as football games and medium sized events such as concerts were conducted. Visual analytics were used as a first step towards comprehensive analyses, which show start-like patterns for city center which identify mobility hubs of central importance.

The figure shows the direct connection between origin and destination of public transportation queries. Darker colors correspond to more frequent queried trips. Star-like pattern identify the central train station and the central metro station.

Analyses of single stations reveal weekday dependent patterns.

The figure depicts the average number of queries with the destination “Hannover Stadionbrücke”. Differences emerge between Weekends and workdays.

The impact of public events on the queries can be visualized  as well.

The figure shows the number of queries with the Destination “Hannover Stadionbrücke” for Wednesday, April 26th 2017 (orange) as well as the average number of queries on a Wednesday for the same destination. On this day a concert took place in venue nearby. The concert start at 8 pm. The significant deviations between 5 pm and 7 pm is highly likely to be caused by visitors of the concert. This shows that public transportation queries are a valuable information source to investigate the impact of public events on mobility infrastructure.

 

  • App-basierte Lieferdienste in Deutschland: Warum Menschen Gig-Work aufnehmen und meist schnell wieder beenden. Friedrich, Martin; Helm, Ines; Jost, Ramona; Lang, Julia; Müller, Christoph (2025). 2025–04.
  • Der abwesende Partner in der Sozialpartnerschaft: Veränderungen der Mitbestimmungspraxis in Betrieben mit chinesischen Investoren. Technical Report (84), Bian, Shuwen (2025).
  • Resound: A Moment of Reflection in a Techno-Spiritual RtD Inquiry. Claisse, Caroline; Chatting, David; Wolf, Sara; Morris, Ben; Durrant, Abigail C in TEI ’25 (2025).
  • Polyfloral nutritional resources promote bumble bee colony development after exposure to a pesticide mixture. Castle, Denise; Alkassab, Abdulrahim T.; Erler, Silvio; Bischoff, Gabriela; Gerdes, Falk; Yurkov, Andrey; Steinert, Michael; Steffan-Dewenter, Ingolf; Pistorius, Jens (2025). 296 118170.
  • Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development Fischer, Raphael; Wischnewski, Magdalena; van der Staay, Alexander; Poitz, Katharina; Janiesch, Christian; Liebig, Thomas (2025).
  • Floral diversity enhances winter survival of honeybee colonies across climatic regions. Mainardi, Giulia; Sponsler, Douglas; Minaud, Etienne; Vardakas, Filippos; Charistos, Leonidas; Requier, Fabrice; Hatjina, Fani; Steffan‐Dewenter, Ingolf (2025).
  • LOLA - An Open-Source Massively Multilingual Large Language Model. Srivastava, Nikit; Kuchelev, Denis; Ngoli, Tatiana Moteu; Shetty, Kshitij; Röder, Michael; Zahera, Hamada M.; Moussallem, Diego; Ngomo, Axel-Cyrille Ngonga O. Rambow, L. Wanner, M. Apidianaki, H. Al-Khalifa, B. D. Eugenio, S. Schockaert (eds.) (2025). 6420–6446.
  • Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach. Hassouna, Mohamed; Holzhüter, Clara; Lehna, Malte; de Jong, Matthijs; Viebahn, Jan; Sick, Bernhard; Scholz, Christoph (2025).
  • Teaching and Learning with Social Mixed Reality: Fostering Teacher Educators’ Technology Competencies Focusing on Diversity Hartmann, Melanie; Tiede, Jennifer; Latoschik, Marc Erich; Grafe, Silke (R. J. Cohen, ed.) (2025). Association for the Advancement of Computing in Education (AACE), Orlando, FL, USA.
  • Ontolearn---A Framework for Large-scale OWL Class Expression Learning in Python. Demir, Caglar; Baci, Alkid; Kouagou, N’Dah Jean; Sieger, Leonie Nora; Heindorf, Stefan; Bin, Simon; Blübaum, Lukas; Bigerl, Alexander; Ngonga Ngomo, Axel-Cyrille (2025).
  • Enhancement of Quality of Service in Underwater Wireless Sensor Networks. S, Vinayprasad M; N, Jayaram M (N. Meghanathan, ed.) (2025). 17(2) 53–70.
  • Towards a phenomenological ontology of war. Gilks, Mark (2025). First View 1–19.
  • Bringing Diversity from Diffusion Models to Semantic-Guided Face Asset Generation. Cai, Yunxuan; Xiang, Sitao; Li, Zongjian; Chen, Haiwei; Zhao, Yajie (2025).
  • Natural Language Generation. Reiter, Ehud (2025).
  • Visualizing Intracellular Localization of Natural-Product-Based Chemical Probes Using Click-Correlative Light and Electron Microscopy. Schaller, Eva; Hofmann, Julian; Maher, Pamela; Stigloher, Christian; Decker, Michael (2025). 20(3) 721–730.
  • ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness. Li, Boqian; Feng, Haiwen; Cai, Zeyu; Black, Michael J.; Xiu, Yuliang (2025).
  • MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation. Sinha, Sankalp; Khan, Mohammad Sadil; Usama, Muhammad; Sam, Shino; Stricker, Didier; Ali, Sk Aziz; Afzal, Muhammad Zeshan (2025).
  • SceneFactory: A Workflow-centric and Unified Framework for Incremental Scene Modeling. Yuan, Yijun; Bleier, Michael; Nüchter, Andreas (2025). 1–20.
  • Forcing the world into machines. Geuter, Jürgen (2025).
  • Wax Arts With Honeybees – Taking First Steps Toward Multispecies Co-Creation. Huber, Stephan; Friedenberger, Tamara; Borlinghaus, Parzival; Wolf, Sara in TEI ’25 (2025).
  • (Un)designing AI for Mental and Spiritual Wellbeing. Smith, C. Estelle; Bezabih, Alemitu; Freed, Diana; Halperin, Brett A.; Wolf, Sara; Claisse, Caroline; Li, Jingjin; Hoefer, Michael; Rifat, Mohammad Rashidujjaman in CSCW Companion ’24 (2024). 117–120.
  • Plekhg5 controls the unconventional secretion of Sod1 by presynaptic secretory autophagy. Hutchings, Amy-Jayne; Hambrecht, Bita; Veh, Alexander; Giridhar, Neha Jadhav; Zare, Abdolhossein; Angerer, Christina; Ohnesorge, Thorben; Schenke, Maren; Selvaraj, Bhuvaneish T.; Chandran, Siddharthan; Sterneckert, Jared; Petri, Susanne; Seeger, Bettina; Briese, Michael; Stigloher, Christian; Bischler, Thorsten; Hermann, Andreas; Damme, Markus; Sendtner, Michael; Lüningschrör, Patrick (2024). 15(1) 8622-.
  • Leveraging Prompting Guides as Worked Examples for Advanced Prompt Engineering Strategies. Tolzin, Antonia; Knoth, Nils; Janson, Andreas (2024).
  • Top Manufacturer of Orthocoir Sheets, Coir Cake & China Coir. Coir, We (W. Coir, ed.) (2024).
  • PCFWebUI: Data-driven WebUI for holistic decarbonization based on PCF-Tracking. Kumar, Ajay; Naumann, Marius; Henne, Kevin; Sherif, Mohamed Ahmed in CEUR Workshop Proceedings, D. Garijo, A. L. Gentile, A. Kurteva, A. Mannocci, F. Osborne, S. Vahdati (eds.) (2024). (Vol. 3759)
  • Evaluating Negation with Multi-way Joins Accelerates Class Expression Learning. Karalis, Nikolaos; Bigerl, Alexander; Demir, Caglar; Heidrich, Liss; Ngomo, Axel-Cyrille Ngonga in Lecture Notes in Computer Science, A. Bifet, J. Davis, T. Krilavicius, M. Kull, E. Ntoutsi, I. Zliobaite (eds.) (2024). (Vol. 14946) 199–216.
  • Making Alternatives Through Design for Mediated Spiritual Practice. Claisse, Caroline; Chatting, David; Wolf, Sara; Morris, Ben; Durrant, Abigail C in HttF ’24 (2024).
  • Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins. Karalis, Nikolaos; Bigerl, Alexander; Heidrich, Liss; Sherif, Mohamed Ahmed; Ngonga Ngomo, Axel-Cyrille (2024).
  • IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains. Gusmita, Ria Hari; Faruq, Muhammad; Mousallem, Diego; Ngonga Ngomo, Axel-Cyrille (2024).
  • Navigating Intersections of Religion/Spirituality and Human-Computer Interaction. Markum, Robert B.; Maas, Franzisca; Wolf, Sara; Halperin, Brett A.; Claisse, Caroline; Buie, Elizabeth in NordiCHI ’24 Adjunct (2024).
  • Enhancing Answers Verbalization using Large Language Models. Vollmers, Daniel; Sharma, Parth; Zahera, Hamada M.; Ngonga Ngomo, Axel-Cyrille (2024).
  • UniQ-Gen: Unified Query Generation across Multiple Knowledge Graphs. Vollmers, Daniel; Srivastava, Nikit; Zahera, Hamada M.; Moussallem, Diego; Ngonga Ngomo, Axel-Cyrille (2024).
  • FaVEL: Fact Validation Ensemble Learning. Qudus, Umair; Tatkeu Pekarou, Franck Lionel; Morim da Silva, Ana Alexandra; Röder, Michael; Ngonga Ngomo, Axel-Cyrille in Lecture Notes in Computer Science, M. Alam, M. Rospocher, M. van Erp, L. Hollink, G. A. Gesese (eds.) (2024). (Vol. 15370) 209–225.
  • Inference over Unseen Entities, Relations and Literals on Knowledge Graphs. Demir, Caglar; Kouagou, N; Sharma, Arnab; Ngonga Ngomo, Axel-Cyrille (2024). arXiv–2410.
  • Sensing Heritage: Exploring Creative Approaches for Capturing, Experiencing and Safeguarding the Sensorial Aspects of Cultural Heritage. Ppali, Sophia; Pasia, Marina; Wolf, Sara; Han, Jihae; Muntean, Reese; Yoo, Minyoung; Rodil, Kasper; Berger, Arne; Papallas, Andreas; Ciolfi, Luigina; Stevens, John; Covaci, Alexandra in DIS ’24 Companion (2024). 445–448.
  • ENHANCING PERSONALIZED RECIPE RECOMMENDATION THROUGH MULTI CLASS CLASSIFICATION. Neelam, Harish; Veerella, Koushik Sai (H. Neelam; K. S. Veerella, eds.) (2024). 14(5) 11.
  • Still Not a Lot of Research? Re-Examining HCI Research on Religion and Spirituality. Wolf, Sara; Friedrich, Paula; Hurtienne, Jörn in CHI EA ’24 (2024).
  • An OWL Ontology for Linguistic Phenomena with Applications to Gallo-Italic Dialects in Sicily. Cantone, Domenico; Di Caro, Vincenzo Nicolò; Longo, Cristiano; Menza, Salvatore; Asmundo, Marianna Nicolosi; Santamaria, Daniele Francesco in CEUR Workshop Proceedings, A. Bikakis, R. Ferrario, S. Jean, B. Markhoff, A. Mosca, M. N. Asmundo (eds.) (2024). (Vol. 3809)
  • Exploring Virtual Reality for Religious Education in Real-World Settings. Wolf, Sara; Nord, Ilona; Hurtienne, Jörn (2024). 953–954.
  • Mediating the Sacred: Configuring a Design Space for Religious and Spiritual Tangible Interactive Artifacts. Markum, Robert B.; Wolf, Sara; Claisse, Caroline; Hoefer, Michael in TEI ’24 (2024).
  • Multi-Resolution Diffusion Models for Time Series Forecasting. Shen, Lifeng; Chen, Weiyu; Kwok, James (2024).
  • Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting. Zahera, Hamada M.; Ali, Manzoor; Sherif, Mohamed Ahmed; Moussallem, Diego; Ngomo, Axel-Cyrille Ngonga in Studies on the Semantic Web, A. A. Salatino, M. Alam, F. Ongenae, S. Vahdati, A. L. Gentile, T. Pellegrini, S. Jiang (eds.) (2024). (Vol. 60) 353–368.
  • The God-I-Box: Iteratively Provotyping Technology-Mediated Worship Services. Wolf, Sara; Steinmüller, Benedikt; Mörike, Frauke; Luthe, Simon; Hurtienne, Jörn in DIS ’23 (2023). 1710–1723.
  • COBALT: A Content-Based Similarity Approach for Link Discovery over Geospatial Knowledge Graphs. Becker, Alexander; Ahmed, Abdullah; Sherif, Mohamed Ahmed; Ngonga Ngomo, Axel-Cyrille (2023).
  • Analysis of Common Supervised Learning Algorithms Through Application. Narula, Palak (2023).
  • REDFM: a Filtered and Multilingual Relation Extraction Dataset. Huguet Cabot, ‪Pere-Lluís; Tedeschi, Simone; Ngonga Ngomo, Axel-Cyrille; Navigli, Roberto A. Rogers, J. Boyd-Graber, N. Okazaki (eds.) (2023). 4326–4343.
  • Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras. Demir, Caglar; Ngomo, Axel-Cyrille Ngonga (2023).
  • Native Execution of GraphQL Queries over RDF Graphs Using Multi-way Joins. Karalis, Nikolaos; Bigerl, Alexander; Ngonga Ngomo, Axel-Cyrille (2023).
  • Using Pre-trained Language Models for Abstractive DBPEDIA Summarization: A Comparative Study. Zahera, Hamada M.; Vitiugin, Fedor; Sherif, Mohamed Ahmed; Castillo, Carlos; Ngonga Ngomo, Axel-Cyrille (2023).
  • Parameterized Complexity of Weighted Team Definability. Kontinen, Juha; Mahmood, Yasir; Meier, Arne; Vollmer, Heribert (2023).
  • Hashing the Hypertrie: Space- and Time-Efficient Indexing for SPARQL in Tensors. Bigerl, Alexander; Conrads, Lixi; Behning, Charlotte; Saleem, Muhammad; Ngonga Ngomo, Axel-Cyrille U. Sattler, A. Hogan, M. Keet, V. Presutti, J. P. A. Almeida, H. Takeda, P. Monnin, G. Pirrò, C. d’Amato (eds.) (2022). 57–73.
  • Consistent signals of a warming climate in occupancy changes of three insect taxa over 40 years in central Europe. Engelhardt, Eva Katharina; Biber, Matthias F.; Dolek, Matthias; Fartmann, Thomas; Hochkirch, Axel; Leidinger, Jan; Löffler, Franz; Pinkert, Stefan; Poniatowski, Dominik; Voith, Johannes; Winterholler, Michael; Zeuss, Dirk; Bowler, Diana E.; Hof, Christian (2022). 28(13) 3998–4012.
  • Hardware-agnostic computation for large-scale knowledge graph embeddings. Demir, Caglar; Ngomo, Axel-Cyrille Ngonga (2022). 13
  • LAUREN - Knowledge Graph Summarization for Question Answering. Jalota, Rricha; Vollmers, Daniel; Moussallem, Diego; Ngomo, Axel-Cyrille Ngonga (2021).
  • GATES: Using Graph Attention Networks for Entity Summarization. Firmansyah, Asep Fajar; Moussallem, Diego; Ngomo, Axel-Cyrille Ngonga (2021).
  • ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs. Zahera, Hamada M.; Heindorf, Stefan; Ngonga Ngomo, Axel-Cyrille (2021).
  • Towards holistic Entity Linking: Survey and directions. Oliveira, Italo Lopes; Fileto, Renato; Speck, René; Garcia, Lu’is Paulo F.; Moussallem, Diego; Lehmann, Jens (2021). 95
  • Automatically generating instructions from tutorials for search and user navigation. Heindorf, Stefan; Lipka, Nedim (2021).
  • I-AID: Identifying Actionable Information from Disaster-related Tweets. Zahera, Hamada M.; Jalota, Rricha; Sherif, Mohamed Ahmed; Ngonga Ngomo, Axel-Cyrille (2021).
  • NABU - Multilingual Graph-Based Neural RDF Verbalizer. Moussallem, Diego; Gnaneshwar, Dwaraknath; Ferreira, Thiago Castro; Ngomo, Axel-Cyrille Ngonga in Lecture Notes in Computer Science, J. Z. Pan, V. Tamma, C. d’Amato, K. Janowicz, B. Fu, A. Polleres, O. Seneviratne, L. Kagal (eds.) (2020). (Vol. 12506) 420–437.
  • HOBBIT: A platform for benchmarking Big Linked Data. Röder, Michael; Kuchelev, Denis; Ngonga Ngomo, Axel-Cyrille (2020). 3(1) 15–35.
  • Experience Matters: Design and Evaluation of an Anesthesia Support Tool Guided by User Experience Theory. Klüber, Sara; Maas, Franzisca; Schraudt, David; Hermann, Gina; Happel, Oliver; Grundgeiger, Tobias in DIS ’20 (2020). 1523–1535.
  • Tentris -- A Tensor-Based Triple Store. Bigerl, Alexander; Conrads, Lixi; Behning, Charlotte; Sherif, Mohamed Ahmed; Saleem, Muhammad; Ngonga Ngomo, Axel-Cyrille J. Z. Pan, V. Tamma, C. d’Amato, K. Janowicz, B. Fu, A. Polleres, O. Seneviratne, L. Kagal (eds.) (2020). 56–73.
  • Participant’s View: Short-Term Evaluation of Realizing PD Ideals. Klüber, Sara; Maas, Franzisca; Hohm, Anna; Hurtienne, Jörn in PDC ’20 (2020). 138–142.
  • Squirrel - Crawling RDF Knowledge Graphs on the Web. Röder, Michael; de Souza Jr, Geraldo; Ngonga Ngomo, Axel-Cyrille in Lecture Notes in Computer Science, J. Z. Pan, V. Tamma, C. d’Amato, K. Janowicz, B. Fu, A. Polleres, O. Seneviratne, L. Kagal (eds.) (2020). (Vol. 12507) 34–47.
  • OPTIC: A Deep Neural Network Approach for Entity Linking using Word and Knowledge Embeddings. Oliveira, Italo Lopes; Moussallem, Diego; Garcia, Lu’is Paulo Faina; Fileto, Renato J. Filipe, M. Smialek, A. Brodsky, S. Hammoudi (eds.) (2020). 315–326.
  • Designing Ritual Artifacts for Technology-Mediated Relationship Transitions. Klüber, Sara; Löffler, Diana; Hassenzahl, Marc; Nord, Ilona; Hurtienne, Jörn in TEI ’20 (2020). 349–361.
  • Finally on Par?! Multimodal and Unimodal Interaction for Open Creative Design Tasks in Virtual Reality. Zimmerer, Chris; Wolf, Erik; Wolf, Sara; Fischbach, Martin; Lugrin, Jean-Luc; Latoschik, Marc Erich (2020). 222–231.
  • MindPeaks: Formative Evaluation Method of Mindfulness Meditation Apps. Reinhardt, Daniel; Baur, Cordula; Klüber, Sara; Hurtienne, Jörn in DIS’ 20 Companion (2020). 37–42.
  • "Paint That Object Yellow": Multimodal Interaction to Enhance Creativity During Design Tasks in VR. Wolf, Erik; Klüber, Sara; Zimmerer, Chris; Lugrin, Jean-Luc; Latoschik, Marc Erich (2019). 195–204.
  • Supporting Multiple Patient Monitoring with Head-Worn Displays and Spearcons. Klueber, Sara; Wolf, Erik; Grundgeiger, Tobias; Brecknell, Birgit; Mohamed, Ismail; Sanderson, Penelope M. (2019). 78 86–96.
  • Under the Greenwood Tree Hardy, Thomas in The Cambridge Edition of the Novels and Stories of Thomas Hardy, (S. Gatrell, ed.) (2019). Cambridge University Press.
  • Authorization Framework for Medical Data. Madadevaiah, Geetha (2019). 11(3) 7–28.
  • Pyro: Deep Universal Probabilistic Programming. Bingham, Eli; Chen, Jonathan P.; Jankowiak, Martin; Obermeyer, Fritz; Pradhan, Neeraj; Karaletsos, Theofanis; Singh, Rohit; Szerlip, Paul A.; Horsfall, Paul; Goodman, Noah D. (2019). 20 28:1–28:6.
  • Finding Datasets in Publications: The University of Paderborn Approach. Jalota, Rricha; Srivastava, Nikit; Vollmers, Daniel; Speck, René; Röder, Michael; Usbeck, Ricardo; Ngonga Ngomo, Axel-Cyrille J. I. Lane, I. Mulvany, P. Nathan (eds.) (2019).
  • Monitoring Vital Signs with Time-Compressed Speech. Sanderson, Penelope M.; Brecknell, Birgit; Leong, SokYee; Klueber, Sara; Wolf, Erik; Hickling, Anna; Tang, Tsz-Lok; Bell, Emilea; Li, Simon Y. W.; Loeb, Robert G. (2019). 25(4) 647–673.
  • Developing a Framework for Online Practice Examination and Automated Score Generation. Sani, S. M. Saniul Islam; Karim, Rezaul; Arefin, Mohammad Shamsul (2018). abs/0806.3765
  • Proceedings of the 3rd International Workshop on Geospatial Linked Data and the 2nd Workshop on Querying the Web of Data co-located with 15th Extended Semantic Web Conference (ESWC 2018), Heraklion, Greece, June 3, 2018 Wauer, Matthias; Sherif, Mohamed Ahmed; Saleem, Muhammad; Hartig, Olaf; Usbeck, Ricardo; Verborgh, Ruben; Ngomo, Axel-Cyrille Ngonga in CEUR Workshop Proceedings (2018). (Vol. 2110) CEUR-WS.org.
  • Joint proceedings of the 4th Workshop on Semantic Deep Learning (SemDeep-4) and NLIWoD4: Natural Language Interfaces for the Web of Data (NLIWOD-4) and 9th Question Answering over Linked Data challenge (QALD-9) co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, California, United States of America, October 8th - 9th, 2018 Choi, Key-Sun; Anke, Luis Espinosa; Declerck, Thierry; Gromann, Dagmar; Kim, Jin-Dong; Ngonga Ngomo, Axel-Cyrille; Saleem, Muhammad; Usbeck, Ricardo in CEUR Workshop Proceedings (2018). (Vol. 2241) CEUR-WS.org.
  • Towards a Semantic Message-driven Microservice Platform for Geospatial and Sensor Data. Wauer, Matthias; Sherif, Mohamed Ahmed; Ngonga Ngomo, Axel-Cyrille in CEUR Workshop Proceedings, M. Wauer, M. A. Sherif, M. Saleem, O. Hartig, R. Usbeck, R. Verborgh, A.-C. N. Ngomo (eds.) (2018). (Vol. 2110) 47–58.
  • Using Multi-Label Classification for Improved Question Answering. Usbeck, Ricardo; Hoffmann, Michael; Röder, Michael; Lehmann, Jens; Ngomo, Axel-Cyrille Ngonga (2017).
  • Second RDF Stream Processing and the Querying the Web of Data Workshops Calbimonte, JP; Tran, MD; Dell’Aglio, D; Le Phuoc, D; Saleem, Muhammad; Usbeck, Ricardo; Verborgh, Ruben; Ngonga Ngomo, Axel-Cyrille (2017).
  • Joint Proceedings of BLINK2017: 2nd International Workshop on Benchmarking Linked Data and NLIWoD3: Natural Language Interfaces for the Web of Data co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 21st - to - 22nd, 2017 Usbeck, Ricardo; Ngomo, Axel-Cyrille Ngonga; Kim, Jin-Dong; Choi, Key-Sun; Cimiano, Philipp; Fundulaki, Irini; Krithara, Anastasia in CEUR Workshop Proceedings (2017). (Vol. 1932) CEUR-WS.org.
  • Self-Wiring Question Answering Systems. Usbeck, Ricardo; Huthmann, Jonathan; Duldhardt, Nico; Ngonga Ngomo, Axel-Cyrille (2016).
  • Using Caching for Local Link Discovery on Large Data Sets. Hassan, Mofeed M.; Speck, René; Ngonga Ngomo, Axel-Cyrille P. Cimiano, F. Frasincar, G.-J. Houben, D. Schwabe (eds.) (2015). (Vol. 9114) 344–354.
  • Managing Geospatial Linked Data in the GeoKnow Project. Lehmann, Jens; Athanasiou, Spiros; Both, Andreas; Garcia-Rojas, Alejandra; Giannopoulos, Giorgos; Hladky, Daniel; Hoeffner, Konrad; Grange, Jon Jay Le; Ngomo, Axel-Cyrille Ngonga; Sherif, Mohamed Ahmed; Stadler, Claus; Wauer, Matthias; Westphal, Patrick; Zaslawski, Vadim T. Narock, P. Fox (eds.) (2015). (Vol. 20) 51–78.
  • The Design and Implementation of Probabilistic Programming Languages. Goodman, Noah D.; Stuhlmüller, Andreas (2014).
  • AGDISTIS - Agnostic Disambiguation of Named Entities Using Linked Open Data. Usbeck, Ricardo; Ngonga Ngomo, Axel-Cyrille; Röder, Michael; Gerber, Daniel; Coelho, Sandro Atha’ide; Auer, Sören; Both, Andreas in Frontiers in Artificial Intelligence and Applications, T. Schaub, G. Friedrich, B. O’Sullivan (eds.) (2014). (Vol. 263) 1113–1114.
  • Ensemble Learning for Named Entity Recognition. Speck, René; Ngomo, Axel-Cyrille Ngonga in Lecture Notes in Computer Science, P. Mika, T. Tudorache, A. Bernstein, C. Welty, C. A. Knoblock, D. Vrandecic, P. Groth, N. F. Noy, K. Janowicz, C. A. Goble (eds.) (2014). (Vol. 8796) 519–534.
  • Evaluating topic coherence measures. Rosner, Frank; Hinneburg, Alexander; Röder, Michael; Nettling, Martin; Both, Andreas (2014).
  • Semantic Quran: A Multilingual Resource for Natural-Language Processing. Sherif, Mohamed Ahmed; Ngonga Ngomo, Axel-Cyrille (2014). 6(4) 339–345.
  • From RDF to Natural Language and Back. Gerber, Daniel; Ngonga Ngomo, Axel-Cyrille P. Buitelaar, P. Cimiano (eds.) (2014). 193–209.
  • Publishing and Interlinking the Global Health Observatory Dataset. Zaveri, Amrapali; Lehmann, Jens; Auer, Sören; Hassan, Mofeed M.; Sherif, Mohamed Ahmed; Martin, Michael (2013). (3) 315–322.
  • The Principles and Practice of Probabilistic Programming. Goodman, Noah D. (2013). 399–402.
  • Enhanced Generic Information Services Using Mobile Messaging. Saleem, Muhammad; Zahir, Ali; Ismail, Yasir; Saeed, Bilal in Lecture Notes in Computer Science, P. Bellavista, R.-S. Chang, H.-C. Chao, S.-F. Lin, P. M. A. Sloot (eds.) (2010). (Vol. 6104) 510–521.
  • Evaluating the disparity between active areas of biomedical research and the global burden of disease employing Linked Data and data-driven discovery. Zaveri, Amrapali; Pietrobon, Ricardo; Ermilov, Timofey; Martin, Michael; Heino, Norman; Auer, Sören H.Herre, R.Hoehndorf, J.Kelso, S.Schulz (eds.) (2010).
  • Disentangling the Wikipedia Category Graph for Corpus Extraction. Ngonga Ngomo, Axel-Cyrille; Schumacher, Frank (2009). 39(2) 5–10.
  • Disentangling the Wikipedia Category Graph for Corpus Extraction. Ngomo, Axel-Cyrille Ngonga; Schumacher, Frank (2009). 39 5–10.
  • Towards an Implicit and Collaborative Evolution of Terminological Ontologies. Ngonga Ngomo, Axel-Cyrille E. Bolisani (ed.) (2008). 65–88.
  • Adaptive and Context-Sensitive Information Retrieval. Ngonga Ngomo, Axel-Cyrille S. Hawamdeh (ed.) (2007). (Vol. 5) 289–300.

By continuing to use the site, you agree to the use of cookies. more information

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close