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ORCIDHeiner Stuckenschmidt
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- affiliation: University of Mannheim, Germany
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2020 – today
- 2023
[j69]Bernhard Schäfer
, Han van der Aa, Henrik Leopold, Heiner Stuckenschmidt:
Sketch2Process: End-to-End BPMN Sketch Recognition Based on Neural Networks. IEEE Trans. Software Eng. 49(4): 2621-2641 (2023)- [c211]Diana Sola, Han van der Aa, Christian Meilicke, Heiner Stuckenschmidt:
Activity Recommendation for Business Process Modeling with Pre-trained Language Models. ESWC 2023: 316-334 - [c210]Jan Spreitzenbarth, Heiner Stuckenschmidt, Christoph Bode:
Designing an AI-enabled Bundling Generator in an Automotive Case Study. HICSS 2023: 4495-4504 - [c209]Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt:
Outlying Aspect Mining via Sum-Product Networks. PAKDD (1) 2023: 27-38 - [i23]Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Heiner Stuckenschmidt:
Investigating the Combination of Planning-Based and Data-Driven Methods for Goal Recognition. CoRR abs/2301.05608 (2023) - [i22]Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt:
Leveraging Planning Landmarks for Hybrid Online Goal Recognition. CoRR abs/2301.10571 (2023) - [i21]Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt:
Learning Decision Trees with Gradient Descent. CoRR abs/2305.03515 (2023) - 2022
- [j68]Diana Sola, Han van der Aa, Christian Meilicke, Heiner Stuckenschmidt:
Exploiting label semantics for rule-based activity recommendation in business process modeling. Inf. Syst. 108: 102049 (2022) - [j67]Sarah Alturki, Lea Cohausz, Heiner Stuckenschmidt:
Predicting Master's students' academic performance: an empirical study in Germany. Smart Learn. Environ. 9(1): 38 (2022) - [j66]Fabian Burzlaff, Nils Wilken, Christian Bartelt, Heiner Stuckenschmidt:
Semantic Interoperability Methods for Smart Service Systems: A Survey. IEEE Trans. Engineering Management 69(6): 4052-4066 (2022) - [j65]Sarah Alturki, Ioana Hulpus, Heiner Stuckenschmidt:
Predicting Academic Outcomes: A Survey from 2007 Till 2018. Technol. Knowl. Learn. 27(1): 275-307 (2022) - [c208]Michael Oesterle, Christian Bartelt, Stefan Lüdtke, Heiner Stuckenschmidt:
Self-learning Governance of Black-Box Multi-Agent Systems. COINE 2022: 73-91 - [c207]Christian Schreckenberger, Christian Bartelt, Heiner Stuckenschmidt:
Dynamic Forest for Learning from Data Streams with Varying Feature Spaces. CoopIS 2022: 95-111 - [c206]Patrick Betz, Christian Meilicke, Heiner Stuckenschmidt:
Supervised Knowledge Aggregation for Knowledge Graph Completion. ESWC 2022: 74-92 - [c205]Patrick Betz, Christian Meilicke, Heiner Stuckenschmidt:
Adversarial Explanations for Knowledge Graph Embeddings. IJCAI 2022: 2820-2826 - [c204]Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt:
Exchangeability-Aware Sum-Product Networks. IJCAI 2022: 4864-4870 - [c203]Lea Cohausz, Nils Wilken, Heiner Stuckenschmidt:
Plan-Similarity Based Heuristics for Goal Recognition. PerCom Workshops 2022: 316-321 - [c202]Jakob Kappenberger, Kilian Theil, Heiner Stuckenschmidt:
Evaluating the Impact of AI-Based Priced Parking with Social Simulation. SocInfo 2022: 54-75 - [i20]Christoph Kilian Theil, Dirk Hovy, Heiner Stuckenschmidt:
Top-Down Influence? Predicting CEO Personality and Risk Impact from Speech Transcripts. CoRR abs/2201.07670 (2022) - [i19]Sascha Marton, Stefan Lüdtke, Christian Bartelt, Andrej Tschalzev, Heiner Stuckenschmidt:
Explaining Neural Networks without Access to Training Data. CoRR abs/2206.04891 (2022) - [i18]Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt:
Outlier Explanation via Sum-Product Networks. CoRR abs/2207.08414 (2022) - 2021
- [j64]Taha Alhersh, Heiner Stuckenschmidt, Atiq ur Rehman, Samir Brahim Belhaouari:
Learning Human Activity From Visual Data Using Deep Learning. IEEE Access 9: 106245-106253 (2021) - [j63]Bernhard Schäfer, Margret Keuper, Heiner Stuckenschmidt:
Arrow R-CNN for handwritten diagram recognition. Int. J. Document Anal. Recognit. 24(1): 3-17 (2021) - [j62]Federico Nanni, Goran Glavas, Ines Rehbein, Simone Paolo Ponzetto, Heiner Stuckenschmidt:
Political Text Scaling Meets Computational Semantics. Trans. Data Sci. 2(4): 29:1-29:27 (2021) - [j61]Oliver Frendo, Nadine Gaertner, Heiner Stuckenschmidt:
Open Source Algorithm for Smart Charging of Electric Vehicle Fleets. IEEE Trans. Ind. Informatics 17(9): 6014-6022 (2021) - [j60]Oliver Frendo, Nadine Gaertner, Heiner Stuckenschmidt:
Improving Smart Charging Prioritization by Predicting Electric Vehicle Departure Time. IEEE Trans. Intell. Transp. Syst. 22(10): 6646-6653 (2021) - [j59]Gabriele Civitarese, Timo Sztyler, Daniele Riboni, Claudio Bettini, Heiner Stuckenschmidt:
POLARIS: Probabilistic and Ontological Activity Recognition in Smart-Homes. IEEE Trans. Knowl. Data Eng. 33(1): 209-223 (2021) - [c201]Noah Metzger, Lars Hoffmann, Christian Bartelt, Heiner Stuckenschmidt, Michael Wommer, Maria Belen Bescos del Castillo:
Towards Trace-Graphs for Data-driven Test Case Mining in the Domain of Automated Driving. AITest 2021: 41-48 - [c200]Christian Meilicke, Patrick Betz, Heiner Stuckenschmidt:
Why a Naive Way to Combine Symbolic and Latent Knowledge Base Completion Works Surprisingly Well. AKBC 2021 - [c199]Diana Sola, Christian Meilicke, Han van der Aa, Heiner Stuckenschmidt:
On the Use of Knowledge Graph Completion Methods for Activity Recommendation in Business Process Modeling. Business Process Management Workshops 2021: 5-17 - [c198]Diana Sola, Christian Meilicke, Han van der Aa, Heiner Stuckenschmidt:
A Rule-Based Recommendation Approach for Business Process Modeling. CAiSE 2021: 328-343 - [c197]Bernhard Schäfer, Han van der Aa, Henrik Leopold, Heiner Stuckenschmidt:
Sketch2BPMN: Automatic Recognition of Hand-Drawn BPMN Models. CAiSE 2021: 344-360 - [c196]Lars Hoffmann, Christian Bartelt, Heiner Stuckenschmidt:
Knowledge Injection via ML-based Initialization of Neural Networks. CIKM Workshops 2021 - [c195]Ines Rehbein, Simone Paolo Ponzetto, Anna Adendorf, Oke Bahnsen, Lukas Stoetzer, Heiner Stuckenschmidt:
Come hither or go away? Recognising pre-electoral coalition signals in the news. EMNLP (1) 2021: 7798-7810 - [c194]Michael Pernpeintner, Christian Bartelt, Heiner Stuckenschmidt:
Governing Black-Box Agents in Competitive Multi-Agent Systems. EUMAS 2021: 19-36 - [c193]Bernhard Schäfer, Heiner Stuckenschmidt:
DiagramNet: Hand-Drawn Diagram Recognition Using Visual Arrow-Relation Detection. ICDAR (1) 2021: 614-630 - [c192]Patrick Betz, Mathias Niepert, Pasquale Minervini, Heiner Stuckenschmidt:
Backpropagating through Markov Logic Networks. NeSy 2021: 67-81 - [c191]Nils Wilken, Heiner Stuckenschmidt:
Combining Symbolic and Statistical Knowledge for Goal Recognition in Smart Home Environments. PerCom Workshops 2021: 26-31 - [c190]Nils Wilken, Heiner Stuckenschmidt, Christian Bartelt:
Combining Symbolic and Data-Driven Methods for Goal Recognition. PerCom Workshops 2021: 428-429 - [i17]Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt:
Exchangeability-Aware Sum-Product Networks. CoRR abs/2110.05165 (2021) - 2020
- [j58]Maria Becker, Ioana Hulpus, Juri Opitz, Debjit Paul, Jonathan Kobbe, Heiner Stuckenschmidt, Anette Frank:
Explaining Arguments with Background Knowledge. Datenbank-Spektrum 20(2): 131-141 (2020) - [j57]Christoph Kilian Theil, Sanja Stajner, Heiner Stuckenschmidt:
Explaining Financial Uncertainty through Specialized Word Embeddings. Trans. Data Sci. 1(1): 6:1-6:19 (2020) - [c189]Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper:
Neural Architecture Performance Prediction Using Graph Neural Networks. GCPR 2020: 188-201 - [c188]Christian Schreckenberger, Christian Bartelt, Heiner Stuckenschmidt:
Robust Decision Tree Induction from Unreliable Data Sources. STAIRS@ECAI 2020 - [c187]Manuel Fink, Christian Meilicke, Heiner Stuckenschmidt:
Explaining Differences Between Unaligned Table Snapshots. EDBT 2020: 133-144 - [c186]Jonathan Kobbe, Ioana Hulpus, Heiner Stuckenschmidt:
Unsupervised stance detection for arguments from consequences. EMNLP (1) 2020: 50-60 - [c185]Christian Schreckenberger, Tim Glockner, Heiner Stuckenschmidt, Christian Bartelt:
Restructuring of Hoeffding Trees for Trapezoidal Data Streams. ICDM (Workshops) 2020: 416-423 - [c184]Ioana Hulpus, Jonathan Kobbe, Heiner Stuckenschmidt, Graeme Hirst:
Knowledge Graphs meet Moral Values. *SEM@COLING 2020: 71-80 - [c183]Taha Alhersh, Samir Brahim Belhaouari, Heiner Stuckenschmidt:
Metrics Performance Analysis of Optical Flow. VISIGRAPP (4: VISAPP) 2020: 749-758 - [i16]Christian Meilicke, Melisachew Wudage Chekol, Manuel Fink, Heiner Stuckenschmidt:
Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion. CoRR abs/2004.04412 (2020) - [i15]Jovita Lukasik, David Friede, Arber Zela, Heiner Stuckenschmidt, Frank Hutter, Margret Keuper:
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search. CoRR abs/2010.04683 (2020) - [i14]Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper:
Neural Architecture Performance Prediction Using Graph Neural Networks. CoRR abs/2010.10024 (2020) - [i13]Christian Bartelt, Sascha Marton, Heiner Stuckenschmidt:
xRAI: Explainable Representations through AI. CoRR abs/2012.06006 (2020)
2010 – 2019
- 2019
- [j56]Jakob Huber, Sebastian Müller, Moritz Fleischmann, Heiner Stuckenschmidt:
A data-driven newsvendor problem: From data to decision. Eur. J. Oper. Res. 278(3): 904-915 (2019) - [j55]Gabriele Civitarese, Claudio Bettini, Timo Sztyler, Daniele Riboni, Heiner Stuckenschmidt:
newNECTAR: Collaborative active learning for knowledge-based probabilistic activity recognition. Pervasive Mob. Comput. 56: 88-105 (2019) - [j54]Christian Krupitzer, Timo Sztyler, Janick Edinger, Martin Breitbach, Heiner Stuckenschmidt, Christian Becker:
Beyond position-awareness - Extending a self-adaptive fall detection system. Pervasive Mob. Comput. 58 (2019) - [j53]Alexander Diete, Heiner Stuckenschmidt:
Fusing Object Information and Inertial Data for Activity Recognition. Sensors 19(19): 4119 (2019) - [j52]Oliver Frendo, Nadine Gaertner, Heiner Stuckenschmidt:
Real-Time Smart Charging Based on Precomputed Schedules. IEEE Trans. Smart Grid 10(6): 6921-6932 (2019) - [c182]Ioana Hulpus, Sanja Stajner, Heiner Stuckenschmidt:
A Spreading Activation Framework for Tracking Conceptual Complexity of Texts. ACL (1) 2019: 3878-3887 - [c181]Taha Alhersh, Samir Brahim Belhaouari, Heiner Stuckenschmidt:
Action Recognition Using Local Visual Descriptors and Inertial Data. AmI 2019: 123-138 - [c180]Melisachew Wudage Chekol, Heiner Stuckenschmidt:
Leveraging Graph Neighborhoods for Efficient Inference. CIKM 2019: 1893-1902 - [c179]Christian Schreckenberger, Christian Bartelt, Heiner Stuckenschmidt:
Enhancing a Crowd-based Delivery Network with Mobility Predictions. PredictGIS@SIGSPATIAL 2019: 66-75 - [c178]Bernhard Schäfer, Heiner Stuckenschmidt:
Arrow R-CNN for Flowchart Recognition. GREC@ICDAR 2019: 7-13 - [c177]Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt:
Anytime Bottom-Up Rule Learning for Knowledge Graph Completion. IJCAI 2019: 3137-3143 - [c176]Christoph Kilian Theil, Samuel Broscheit, Heiner Stuckenschmidt:
PRoFET: Predicting the Risk of Firms from Event Transcripts. IJCAI 2019: 5211-5217 - [c175]Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt:
An Introduction to AnyBURL. KI 2019: 244-248 - [c174]Jonathan Kobbe, Juri Opitz, Maria Becker, Ioana Hulpus, Heiner Stuckenschmidt, Anette Frank:
Exploiting Background Knowledge for Argumentative Relation Classification. LDK 2019: 8:1-8:14 - [c173]Christian Schreckenberger, Christian Bartelt, Heiner Stuckenschmidt:
iDropout: Leveraging Deep Taylor Decomposition for the Robustness of Deep Neural Networks. OTM Conferences 2019: 113-126 - [c172]Taha Alhersh, Heiner Stuckenschmidt:
On the Combination of IMU and Optical Flow for Action Recognition. PerCom Workshops 2019: 17-21 - [c171]Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt:
Vision and Acceleration Modalities: Partners for Recognizing Complex Activities. PerCom Workshops 2019: 101-106 - [c170]Ioana Hulpus, Jonathan Kobbe, Christian Meilicke, Heiner Stuckenschmidt, Maria Becker, Juri Opitz, Vivi Nastase, Anette Frank:
Towards Explaining Natural Language Arguments with Background Knowledge. PROFILES/SEMEX@ISWC 2019: 62-77 - [c169]Melisachew Wudage Chekol, Heiner Stuckenschmidt:
Time-Aware Probabilistic Knowledge Graphs. TIME 2019: 8:1-8:17 - [c168]Taha Alhersh, Heiner Stuckenschmidt:
Unsupervised Fine-tuning of Optical Flow for Better Motion Boundary Estimation. VISIGRAPP (5: VISAPP) 2019: 776-783 - [c167]Melisachew Wudage Chekol, Giuseppe Pirrò, Heiner Stuckenschmidt:
Fast Interval Joins for Temporal SPARQL Queries. WWW (Companion Volume) 2019: 1148-1154 - [e18]Christoph Benzmüller, Heiner Stuckenschmidt:
KI 2019: Advances in Artificial Intelligence - 42nd German Conference on AI, Kassel, Germany, September 23-26, 2019, Proceedings. Lecture Notes in Computer Science 11793, Springer 2019, ISBN 978-3-030-30178-1 [contents] - [i12]Federico Nanni, Goran Glavas, Simone Paolo Ponzetto, Heiner Stuckenschmidt:
Political Text Scaling Meets Computational Semantics. CoRR abs/1904.06217 (2019) - [i11]David Friede, Jovita Lukasik, Heiner Stuckenschmidt, Margret Keuper:
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction. CoRR abs/1912.05317 (2019) - 2018
- [j51]Elena Kuss, Henrik Leopold, Han van der Aa, Heiner Stuckenschmidt, Hajo A. Reijers:
A probabilistic evaluation procedure for process model matching techniques. Data Knowl. Eng. 117: 393-406 (2018) - [j50]Joerg Schoenfisch, Christian Meilicke, Janno von Stülpnagel, Jens Ortmann, Heiner Stuckenschmidt:
Root cause analysis in IT infrastructures using ontologies and abduction in Markov Logic Networks. Inf. Syst. 74(Part): 103-116 (2018) - [j49]Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt:
Exploring Semi-Supervised Methods for Labeling Support in Multimodal Datasets. Sensors 18(8): 2639 (2018) - [c166]Christoph Kilian Theil, Sanja Stajner, Heiner Stuckenschmidt:
Word Embeddings-Based Uncertainty Detection in Financial Disclosures. ECONLP@ACL 2018: 32-37 - [c165]Melisachew Wudage Chekol, Heiner Stuckenschmidt:
Towards Partition-Aware Lifted Inference. CIKM 2018: 1823-1826 - [c164]Fabian Burzlaff, Christian Bartelt, Heiner Stuckenschmidt:
Next Steps in Knowledge-driven Architecture Composition. LWDA 2018: 78-83 - [c163]Gabriele Civitarese, Claudio Bettini, Timo Sztyler, Daniele Riboni, Heiner Stuckenschmidt:
NECTAR: Knowledge-based Collaborative Active Learning for Activity Recognition. PerCom 2018: 1-10 - [c162]Christian Krupitzer, Timo Sztyler, Janick Edinger, Martin Breitbach, Heiner Stuckenschmidt, Christian Becker:
Hips Do Lie! A Position-Aware Mobile Fall Detection System. PerCom 2018: 1-10 - [c161]Timo Sztyler, Christian Meilicke, Heiner Stuckenschmidt:
Towards Systematic Benchmarking of Activity Recognition Algorithms. PerCom Workshops 2018: 15-20 - [c160]Timo Sztyler, Gabriele Civitarese, Heiner Stuckenschmidt:
Modeling and Reasoning with ProbLog: An Application in Recognizing Complex Activities. PerCom Workshops 2018: 259-264 - [c159]Alexander Diete, Timo Sztyler, Lydia Weiland, Heiner Stuckenschmidt:
Improving Motion-based Activity Recognition with Ego-centric Vision. PerCom Workshops 2018: 488-491 - [c158]Melisachew Wudage Chekol, Heiner Stuckenschmidt:
Tractable reasoning in probabilistic OWL profiles. SAC 2018: 888-895 - [c157]Christian Meilicke, Manuel Fink, Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Heiner Stuckenschmidt:
Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion. ISWC (1) 2018: 3-20 - [c156]Melisachew Wudage Chekol, Heiner Stuckenschmidt:
Towards Probabilistic Bitemporal Knowledge Graphs. WWW (Companion Volume) 2018: 1757-1762 - [e17]Rainer Gemulla, Simone Paolo Ponzetto, Christian Bizer, Margret Keuper, Heiner Stuckenschmidt:
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", LWDA 2018, Mannheim, Germany, August 22-24, 2018. CEUR Workshop Proceedings 2191, CEUR-WS.org 2018 [contents] - 2017
- [j48]Christian Meilicke, Henrik Leopold, Elena Kuss, Heiner Stuckenschmidt, Hajo A. Reijers:
Overcoming individual process model matcher weaknesses using ensemble matching. Decis. Support Syst. 100: 15-26 (2017) - [j47]Jakob Huber, Alexander Gossmann, Heiner Stuckenschmidt:
Cluster-based hierarchical demand forecasting for perishable goods. Expert Syst. Appl. 76: 140-151 (2017) - [j46]Erman Acar, Manuel Fink, Christian Meilicke, Camilo Thorne, Heiner Stuckenschmidt:
Multi-Attribute Decision Making with Weighted Description Logics. FLAP 4(7) (2017) - [j45]Joerg Schoenfisch, Heiner Stuckenschmidt:
Analyzing real-world SPARQL queries and ontology-based data access in the context of probabilistic data. Int. J. Approx. Reason. 90: 374-388 (2017) - [j44]Timo Sztyler, Heiner Stuckenschmidt, Wolfgang Petrich:
Position-aware activity recognition with wearable devices. Pervasive Mob. Comput. 38: 281-295 (2017) - [j43]Melisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch, Heiner Stuckenschmidt:
TeCoRe: Temporal Conflict Resolution in Knowledge Graphs. Proc. VLDB Endow. 10(12): 1929-1932 (2017) - [j42]Jakob Huber, Mathias Niepert, Jan Noessner, Joerg Schoenfisch, Christian Meilicke, Heiner Stuckenschmidt:
An infrastructure for probabilistic reasoning with web ontologies. Semantic Web 8(2): 255-269 (2017) - [c155]Melisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch, Heiner Stuckenschmidt:
Marrying Uncertainty and Time in Knowledge Graphs. AAAI 2017: 88-94 - [c154]Sanja Stajner, Marc Franco-Salvador, Simone Paolo Ponzetto, Paolo Rosso, Heiner Stuckenschmidt:
Sentence Alignment Methods for Improving Text Simplification Systems. ACL (2) 2017: 97-102 - [c153]Christoph Kilian Theil, Sanja Stajner, Heiner Stuckenschmidt, Simone Paolo Ponzetto:
Automatic Detection of Uncertain Statements in the Financial Domain. CICLing (2) 2017: 642-654 - [c152]Elena Kuss, Heiner Stuckenschmidt:
Automatic Classification to Matching Patterns for Process Model Matching Evaluation. ER Forum/Demos 2017: 292-305 - [c151]Alexander Diete, Timo Sztyler, Lydia Weiland, Heiner Stuckenschmidt:
Recognizing Grabbing Actions from Inertial and Video Sensor Data in a Warehouse Scenario. FNC/MobiSPC 2017: 16-23 - [c150]Melisachew Wudage Chekol, Heiner Stuckenschmidt:
Rule Based Temporal Inference. ICLP (Technical Communications) 2017: 4:1-4:14 - [c149]Sanja Stajner, Simone Paolo Ponzetto, Heiner Stuckenschmidt:
Automatic Assessment of Absolute Sentence Complexity. IJCAI 2017: 4096-4102 - [c148]Elena Kuss, Henrik Leopold, Christian Meilicke, Heiner Stuckenschmidt:
Ranking-Based Evaluation of Process Model Matching - (Short Paper). OTM Conferences (1) 2017: 298-305 - [c147]Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt:
A smart data annotation tool for multi-sensor activity recognition. PerCom Workshops 2017: 111-116 - [c146]Timo Sztyler, Heiner Stuckenschmidt:
Online personalization of cross-subjects based activity recognition models on wearable devices. PerCom 2017: 180-189 - [c145]Christian Meilicke, Daniel Ruffinelli, Andreas Nolle, Heiko Paulheim, Heiner Stuckenschmidt:
Fast ABox Consistency Checking Using Incomplete Reasoning and Caching. RuleML+RR 2017: 168-183 - [c144]Sanja Stajner, Goran Glavas, Simone Paolo Ponzetto, Heiner Stuckenschmidt:
Domain Adaptation for Automatic Detection of Speculative Sentences. ICSC 2017: 164-171 - [c143]Manel Achichi, Michelle Cheatham, Zlatan Dragisic, Jérôme Euzenat, Daniel Faria, Alfio Ferrara, Giorgos Flouris, Irini Fundulaki, Ian Harrow, Valentina Ivanova, Ernesto Jiménez-Ruiz, Kristian Kolthoff, Elena Kuss, Patrick Lambrix, Henrik Leopold, Huanyu Li, Christian Meilicke, Majid Mohammadi, Stefano Montanelli, Catia Pesquita, Tzanina Saveta, Pavel Shvaiko, Andrea Splendiani, Heiner Stuckenschmidt, Élodie Thiéblin, Konstantin Todorov, Cássia Trojahn, Ondrej Zamazal:
Results of the Ontology Alignment Evaluation Initiative 2017. OM@ISWC 2017: 61-113 - [c142]Andreas Nolle, Melisachew Wudage Chekol, Christian Meilicke, German Nemirovski, Heiner Stuckenschmidt:
Automated Fine-Grained Trust Assessment in Federated Knowledge Bases. ISWC (1) 2017: 490-506 - [e16]Derek Bridge, Heiner Stuckenschmidt:
E-Commerce and Web Technologies - 17th International Conference, EC-Web 2016, Porto, Portugal, September 5-8, 2016, Revised Selected Papers. Lecture Notes in Business Information Processing 278, 2017, ISBN 978-3-319-53675-0 [contents] - 2016
- [j41]Birte Glimm, Heiner Stuckenschmidt:
Special Issue on Semantic Web. Künstliche Intell. 30(2): 113-115 (2016) - [j40]