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ORCIDStefan Dietze
Person information
- affiliation: Heinrich-Heine-University Düsseldorf, Germany
- affiliation: GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany
- affiliation (former): L3S Research Center, Hannover, Germany
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2020 – today
- 2024
[j45]Tobias Backes
, Stefan Dietze:
Connected Components for Scaling Partial-order Blocking to Billion Entities. ACM J. Data Inf. Qual. 16(1): 9:1-9:29 (2024)- [j44]Xiaofei Zhu, Yidan Liu, Zhuo Chen, Xu Chen, Jiafeng Guo, Stefan Dietze:
A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction. J. Intell. Inf. Syst. 62(2): 555-574 (2024) - [c133]Juliane Schmüser, Harshini Sri Ramulu, Noah Wöhler, Christian Stransky, Felix Bensmann, Dimitar Dimitrov, Sebastian Schellhammer, Dominik Wermke, Stefan Dietze, Yasemin Acar, Sascha Fahl:
Analyzing Security and Privacy Advice During the 2022 Russian Invasion of Ukraine on Twitter. CHI 2024: 574:1-574:16 - [c132]Marc Feger, Stefan Dietze:
TACO - Twitter Arguments from COnversations. LREC/COLING 2024: 15522-15529 - [c131]Susmita Gangopadhyay, Sebastian Schellhammer, Salim Hafid, Danilo Dessì, Christian Koß, Konstantin Todorov, Stefan Dietze, Hajira Jabeen:
Investigating Characteristics, Biases and Evolution of Fact-Checked Claims on the Web. HT 2024: 246-258 - [c130]Stephan Linzbach, Dimitar Dimitrov, Laura Kallmeyer, Kilian Evang, Hajira Jabeen, Stefan Dietze:
Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models. NAACL-HLT 2024: 3645-3655 - [c129]Frank Krüger, Saurav Karmakar, Stefan Dietze:
SOMD@NSLP2024: Overview and Insights from the Software Mention Detection Shared Task. NSLP 2024: 247-256 - [c128]Wolfgang Otto, Sharmila Upadhyaya, Stefan Dietze:
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models. NSLP 2024: 289-306 - [c127]Stefan Dietze:
Archiving and Temporal Analysis of Behavioral Web Data - Tales from the Inside. WWW (Companion Volume) 2024: 1373-1374 - [c126]Konstantin Todorov, Pavlos Fafalios, Stefan Dietze, Dimitar Dimitrov:
Beyond Facts: 4th International Workshop on Computational Methods for Online Discourse Analysis. WWW (Companion Volume) 2024: 1418-1421 - [e19]Georg Rehm, Stefan Dietze, Sonja Schimmler, Frank Krüger:
Natural Scientific Language Processing and Research Knowledge Graphs - First International Workshop, NSLP 2024, Hersonissos, Crete, Greece, May 27, 2024, Proceedings. Lecture Notes in Computer Science 14770, Springer 2024, ISBN 978-3-031-65793-1 [contents] - [i31]Marc Feger, Stefan Dietze:
TACO - Twitter Arguments from COnversations. CoRR abs/2404.00406 (2024) - [i30]Stephan Linzbach, Dimitar Dimitrov, Laura Kallmeyer, Kilian Evang, Hajira Jabeen, Stefan Dietze:
Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models. CoRR abs/2404.01992 (2024) - [i29]Wolfgang Otto, Sharmila Upadhyaya, Stefan Dietze:
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models. CoRR abs/2404.05587 (2024) - [i28]Raia Abu Ahmad, Jennifer D'Souza, Matthäus Zloch, Wolfgang Otto, Georg Rehm, Allard Oelen, Stefan Dietze, Sören Auer:
Toward FAIR Semantic Publishing of Research Dataset Metadata in the Open Research Knowledge Graph. CoRR abs/2404.08443 (2024) - [i27]Xiaofei Zhu, Liang Li, Stefan Dietze, Xin Luo:
Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential Recommendation. CoRR abs/2404.13878 (2024) - [i26]Katarina Boland, Christopher Starke, Felix Bensmann, Frank Marcinkowski, Stefan Dietze:
Public Discourse about COVID-19 Vaccinations: A Computational Analysis of the Relationship between Public Concerns and Policies. CoRR abs/2407.10321 (2024) - 2023
- [j43]Fakhri Momeni, Philipp Mayr, Stefan Dietze:
Investigating the contribution of author- and publication-specific features to scholars' h-index prediction. EPJ Data Sci. 12(1): 45 (2023) - [j42]Xiaofei Zhu, Zhanwang Peng, Jiafeng Guo, Stefan Dietze:
Generating effective label description for label-aware sentiment classification. Expert Syst. Appl. 213(Part): 119194 (2023) - [j41]Xiaofei Zhu, Chenghong Li, Jiafeng Guo, Stefan Dietze:
CNIM-GCN: Consensus Neighbor Interaction-based Multi-channel Graph Convolutional Networks. Expert Syst. Appl. 226: 120178 (2023) - [j40]Zhuomin Chen, Li Wang, Xiaofei Zhu, Stefan Dietze:
TSNN: A Topic and Structure Aware Neural Network for Rumor Detection. Neurocomputing 531: 114-124 (2023) - [j39]Xiaofei Zhu, Gu Tang, Pengfei Wang, Chenliang Li, Jiafeng Guo, Stefan Dietze:
Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation. Inf. Sci. 624: 324-343 (2023) - [j38]Ling Zhu, Xiaofei Zhu, Jiafeng Guo, Stefan Dietze:
Exploring rich structure information for aspect-based sentiment classification. J. Intell. Inf. Syst. 60(1): 97-117 (2023) - [j37]Fakhri Momeni, Stefan Dietze, Philipp Mayr, Kristin Biesenbender, Isabella Peters:
Which factors are associated with Open Access publishing? A Springer Nature case study. Quant. Sci. Stud. 4(2): 353-371 (2023) - [j36]Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, Janna Omeliyanenko, Wen Zhang, Matteo Lissandrini, Russa Biswas, Gerard de Melo, Angela Bonifati, Edlira Vakaj, Mauro Dragoni, Damien Graux:
Large Language Models and Knowledge Graphs: Opportunities and Challenges. TGDK 1(1): 2:1-2:38 (2023) - [c125]Olga L. Giraldo, Danilo Dessì, Stefan Dietze, Dietrich Rebholz-Schuhmann, Leyla Jael Castro:
Machine-Actionable Metadata for Software and Software Management Plans for NFDI. CoRDI 2023 - [c124]Susmita Gangopadhyay, Katarina Boland, Danilo Dessì, Stefan Dietze, Pavlos Fafalios, Andon Tchechmedjiev, Konstantin Todorov, Hajira Jabeen:
Truth or Dare: Investigating Claims Truthfulness with ClaimsKG. D2R2 2023 - [c123]Wolfgang Otto, Matthäus Zloch, Lu Gan, Saurav Karmakar, Stefan Dietze:
GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets. EMNLP (Findings) 2023: 8166-8176 - [c122]Saurav Karmakar, Matthäus Zloch, Fidan Limani, Benjamin Zapilko, Sharmila Upadhyaya, Jennifer D'Souza, Leyla Jael Castro, Georg Rehm, Marcel R. Ackermann, Harald Sack, Zeyd Boukhers, Sonja Schimmler, Danilo Dessì, Peter Mutschke, Stefan Dietze:
Research Knowledge Graphs in NFDI4DS. GI-Jahrestagung 2023: 909-918 - [c121]Sonja Schimmler, Bianca Wentzel, Arnim Bleier, Stefan Dietze, Saurav Karmakar, Peter Mutschke, Angelie Kraft, Tilahun Abedissa Taffa, Ricardo Usbeck, Zeyd Boukhers, Sören Auer, Leyla Jael Castro, Marcel R. Ackermann, Thomas Neumuth, Daniel Schneider, Ziawasch Abedjan, Atif Latif, Fidan Limani, Raia Abu Ahmad, Georg Rehm, Sima Attar Khorasani, Matthias Lieber:
NFDI4DS Infrastructure and Services. GI-Jahrestagung 2023: 919-924 - [c120]Raia Abu Ahmad, Ekaterina Borisova, Georg Rehm, Stefan Dietze, Saurav Kamakar, Wolfgang Otto, Jennifer D'Souza, Fidan Limani, Ricardo Usbeck:
NFDI4DS Shared Tasks. GI-Jahrestagung 2023: 931-935 - [c119]Leon Mlodzian, Zhigang Sun, Hendrik Berkemeyer, Sebastian Monka, Zixu Wang, Stefan Dietze, Lavdim Halilaj, Juergen Luettin:
nuScenes Knowledge Graph - A comprehensive semantic representation of traffic scenes for trajectory prediction. ICCV (Workshops) 2023: 42-52 - [c118]Debanjali Biswas, Stephan Linzbach, Dimitar Dimitrov, Hajira Jabeen, Stefan Dietze:
Broadening BERT vocabulary for Knowledge Graph Construction using Wikipedia2Vec. KBC-LM/LM-KBC@ISWC 2023 - [c117]Stefan Dietze, Hajira Jabeen, Laura Kallmeyer, Stephan Linzbach:
Towards syntax-aware pretraining and prompt engineering for knowledge retrieval from large language models. KBC-LM/LM-KBC@ISWC 2023 - [c116]Raia Abu Ahmad, Jennifer D'Souza, Matthäus Zloch, Wolfgang Otto, Georg Rehm, Allard Oelen, Stefan Dietze, Sören Auer:
Towards FAIR Semantic Publishing of Research Dataset Metadata in the Open Research Knowledge Graph. Onto4FAIR 2023: 23-31 - [c115]Konstantin Todorov, Pavlos Fafalios, Dimitar Dimitrov, Stefan Dietze:
BeyondFacts'23: 3rd International Workshop on Knowledge Graphs for Online Discourse Analysis. WWW (Companion Volume) 2023: 678 - [c114]Stephan Linzbach, Tim Tressel, Laura Kallmeyer, Stefan Dietze, Hajira Jabeen:
Decoding Prompt Syntax: Analysing its Impact on Knowledge Retrieval in Large Language Models. WWW (Companion Volume) 2023: 1145-1149 - [i25]Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, Janna Omeliyanenko, Wen Zhang, Matteo Lissandrini, Russa Biswas, Gerard de Melo, Angela Bonifati, Edlira Vakaj, Mauro Dragoni, Damien Graux:
Large Language Models and Knowledge Graphs: Opportunities and Challenges. CoRR abs/2308.06374 (2023) - [i24]Wolfgang Otto, Matthäus Zloch, Lu Gan, Saurav Karmakar, Stefan Dietze:
GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets. CoRR abs/2311.09860 (2023) - [i23]Leon Mlodzian, Zhigang Sun, Hendrik Berkemeyer, Sebastian Monka, Zixu Wang, Stefan Dietze, Lavdim Halilaj, Juergen Luettin:
nuScenes Knowledge Graph - A comprehensive semantic representation of traffic scenes for trajectory prediction. CoRR abs/2312.09676 (2023) - 2022
- [j35]Tobias Backes, Stefan Dietze:
Lattice-based progressive author disambiguation. Inf. Syst. 109: 102056 (2022) - [j34]Arjun Roy, Pavlos Fafalios, Asif Ekbal, Xiaofei Zhu, Stefan Dietze:
Exploiting stance hierarchies for cost-sensitive stance detection of Web documents. J. Intell. Inf. Syst. 58(1): 1-19 (2022) - [j33]Tobias Backes, Daniel Hienert, Stefan Dietze:
Towards hierarchical affiliation resolution: framework, baselines, dataset. Int. J. Digit. Libr. 23(3): 267-288 (2022) - [j32]Fakhri Momeni, Fariba Karimi, Philipp Mayr, Isabella Peters, Stefan Dietze:
The many facets of academic mobility and its impact on scholars' career. J. Informetrics 16(2): 101280 (2022) - [j31]Gu Tang, Xiaofei Zhu, Jiafeng Guo, Stefan Dietze:
Time enhanced graph neural networks for session-based recommendation. Knowl. Based Syst. 251: 109204 (2022) - [j30]David Schindler, Felix Bensmann, Stefan Dietze, Frank Krüger:
The role of software in science: a knowledge graph-based analysis of software mentions in PubMed Central. PeerJ Comput. Sci. 8: e835 (2022) - [j29]Katarina Boland, Pavlos Fafalios, Andon Tchechmedjiev, Stefan Dietze, Konstantin Todorov:
Beyond facts - a survey and conceptualisation of claims in online discourse analysis. Semantic Web 13(5): 793-827 (2022) - [c113]Christian Otto, Markus Rokicki, Georg Pardi, Wolfgang Gritz, Daniel Hienert, Ran Yu, Johannes von Hoyer, Anett Hoppe, Stefan Dietze, Peter Holtz, Yvonne Kammerer, Ralph Ewerth:
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search. CHIIR 2022: 347-352 - [c112]Salim Hafid, Sebastian Schellhammer, Sandra Bringay, Konstantin Todorov, Stefan Dietze:
SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse. CIKM 2022: 3988-3992 - [c111]Alica Hövelmeyer, Katarina Boland, Stefan Dietze:
SimBa at CheckThat!-2022: Lexical and Semantic Similarity Based Detection of Verified Claims in an Unsupervised and Supervised Way. CLEF (Working Notes) 2022: 511-531 - [c110]Konstantin Todorov, Pavlos Fafalios, Stefan Dietze:
BeyondFacts'22: 2nd International Workshop on Knowledge Graphs for Online Discourse Analysis. WWW (Companion Volume) 2022: 423-425 - [c109]Dimitar Dimitrov, Dennis Segeth, Stefan Dietze:
Geotagging TweetsCOV19: Enriching a COVID-19 Twitter Discourse Knowledge Base with Geographic Information. WWW (Companion Volume) 2022: 438-442 - [i22]Christian Otto, Markus Rokicki, Georg Pardi, Wolfgang Gritz, Daniel Hienert, Ran Yu, Johannes von Hoyer, Anett Hoppe, Stefan Dietze, Peter Holtz, Yvonne Kammerer, Ralph Ewerth:
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search. CoRR abs/2201.02339 (2022) - [i21]Fakhri Momeni, Fariba Karimi, Philipp Mayr, Isabella Peters, Stefan Dietze:
The many facets of academic mobility and its impact on scholars' career. CoRR abs/2203.06995 (2022) - [i20]Salim Hafid, Sebastian Schellhammer, Sandra Bringay, Konstantin Todorov, Stefan Dietze:
SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse. CoRR abs/2206.07360 (2022) - [i19]Ran Yu, Limock, Stefan Dietze:
Still Haven't Found What You're Looking For - Detecting the Intent of Web Search Missions from User Interaction Features. CoRR abs/2207.01256 (2022) - [i18]Fakhri Momeni, Philipp Mayr, Stefan Dietze:
How can I improve my scientific impact? The most influential factors in predicting the h-index. CoRR abs/2207.09655 (2022) - [i17]Fakhri Momeni, Stefan Dietze, Philipp Mayr, Kristin Biesenbender, Isabella Peters:
Which Factors Drive Open Access Publishing? A Springer Nature Case Study. CoRR abs/2208.08221 (2022) - 2021
- [j28]Xiaofei Zhu, Ling Zhu, Jiafeng Guo, Shangsong Liang, Stefan Dietze:
GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification. Expert Syst. Appl. 186: 115712 (2021) - [j27]Xiaofei Zhu, Jie Wu, Ling Zhu, Jiafeng Guo, Ran Yu, Katarina Boland, Stefan Dietze:
Exploring user historical semantic and sentiment preference for microblog sentiment classification. Neurocomputing 464: 141-150 (2021) - [j26]Ran Yu, Rui Tang, Markus Rokicki, Ujwal Gadiraju, Stefan Dietze:
Topic-independent modeling of user knowledge in informational search sessions. Inf. Retr. J. 24(3): 240-268 (2021) - [j25]Xiaofei Zhu, Khoi Duy Do, Jiafeng Guo, Jun Xu, Stefan Dietze:
Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering. Neural Process. Lett. 53(1): 1-16 (2021) - [j24]Matthäus Zloch, Maribel Acosta, Daniel Hienert, Stefan Conrad, Stefan Dietze:
Charaterizing RDF graphs through graph-based measures - framework and assessment. Semantic Web 12(5): 789-812 (2021) - [j23]Mathieu d'Aquin, Stefan Dietze:
CIKM 2020 conference report. SIGWEB Newsl. 2021(Spring): 1:1-1:4 (2021) - [c108]Christian Otto, Ran Yu, Georg Pardi, Johannes von Hoyer, Markus Rokicki, Anett Hoppe, Peter Holtz, Yvonne Kammerer, Stefan Dietze, Ralph Ewerth:
Predicting Knowledge Gain During Web Search Based on Multimedia Resource Consumption. AIED (1) 2021: 318-330 - [c107]David Schindler, Felix Bensmann, Stefan Dietze, Frank Krüger:
SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles. CIKM 2021: 4574-4583 - [c106]Rui Tang, Ran Yu, Markus Rokicki, Ralph Ewerth, Stefan Dietze:
Domain-Specific Modeling of User Knowledge in Informational Search Sessions. CIKM Workshops 2021 - [c105]Evangelos Maliaroudakis, Katarina Boland, Stefan Dietze, Konstantin Todorov, Yannis Tzitzikas, Pavlos Fafalios:
ClaimLinker: Linking Text to a Knowledge Graph of Fact-checked Claims. WWW (Companion Volume) 2021: 669-672 - [e18]Andreas Hotho, Eva Blomqvist, Stefan Dietze, Achille Fokoue, Ying Ding, Payam M. Barnaghi, Armin Haller, Mauro Dragoni, Harith Alani:
The Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24-28, 2021, Proceedings. Lecture Notes in Computer Science 12922, Springer 2021, ISBN 978-3-030-88360-7 [contents] - [e17]Konstantin Todorov, Pavlos Fafalios, Stefan Dietze:
Proceedings of the 1st International Workshop on Knowledge Graphs for Online Discourse Αnalysis (KnOD 2021) co-located with the 30th The Web Conference (WWW 2021), Virtual Event (due to COVID-19 outbreak), April 14, 2021. CEUR Workshop Proceedings 2877, CEUR-WS.org 2021 [contents] - [i16]Renato Stoffalette João, Pavlos Fafalios, Stefan Dietze:
Better Together - An Ensemble Learner for Combining the Results of Ready-made Entity Linking Systems. CoRR abs/2101.05634 (2021) - [i15]Christian Otto, Ran Yu, Georg Pardi, Johannes von Hoyer, Markus Rokicki, Anett Hoppe, Peter Holtz, Yvonne Kammerer, Stefan Dietze, Ralph Ewerth:
Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption. CoRR abs/2106.06244 (2021) - [i14]David Schindler, Felix Bensmann, Stefan Dietze, Frank Krüger:
SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles. CoRR abs/2108.09070 (2021) - 2020
- [b2]Roope Jaakonmäki, Jan vom Brocke, Stefan Dietze, Hendrik Drachsler, Albrecht Fortenbacher, René Helbig, Michael D. Kickmeier-Rust, Ivana Marenzi, Angel Suarez, Haeseon Yun:
Learning Analytics Cookbook - How to Support Learning Processes Through Data Analytics and Visualization. Springer Briefs in Business Process Management, Springer 2020, ISBN 978-3-030-43376-5, pp. 1-88 - [j22]Nicolas Tempelmeier, Stefan Dietze, Elena Demidova:
Crosstown traffic - supervised prediction of impact of planned special events on urban traffic. GeoInformatica 24(2): 339-370 (2020) - [j21]Xiaofei Zhu, Jiafeng Guo, Wolfgang Nejdl, Xiangwen Liao, Stefan Dietze:
Multi-view image clustering based on sparse coding and manifold consensus. Neurocomputing 403: 53-62 (2020) - [c104]Masoud Davari, Daniel Hienert, Dagmar Kern, Stefan Dietze:
The Role of Word-Eye-Fixations for Query Term Prediction. CHIIR 2020: 422-426 - [c103]Dimitar Dimitrov, Erdal Baran, Pavlos Fafalios, Ran Yu, Xiaofei Zhu, Matthäus Zloch, Stefan Dietze:
TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic. CIKM 2020: 2991-2998 - [c102]Felix Bensmann, Andrea Papenmeier, Dagmar Kern, Benjamin Zapilko, Stefan Dietze:
Semantic Annotation, Representation and Linking of Survey Data. SEMANTiCS 2020: 53-69 - [c101]Renato Stoffalette João, Pavlos Fafalios, Stefan Dietze:
Better together: an ensemble learner for combining the results of ready-made entity linking systems. SAC 2020: 851-858 - [e16]Mathieu d'Aquin, Stefan Dietze, Claudia Hauff, Edward Curry, Philippe Cudré-Mauroux:
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020. ACM 2020, ISBN 978-1-4503-6859-9 [contents] - [e15]Manolis Koubarakis, Harith Alani, Grigoris Antoniou, Kalina Bontcheva, John G. Breslin, Diego Collarana, Elena Demidova, Stefan Dietze, Simon Gottschalk, Guido Governatori, Aidan Hogan, Freddy Lécué, Elena Montiel-Ponsoda, Axel-Cyrille Ngonga Ngomo, Sofia Pinto, Muhammad Saleem, Raphaël Troncy, Eleni Tsalapati, Ricardo Usbeck, Ruben Verborgh:
Joint Proceedings of Workshops AI4LEGAL2020, NLIWOD, PROFILES 2020, QuWeDa 2020 and SEMIFORM2020 Colocated with the 19th International Semantic Web Conference (ISWC 2020), Virtual Conference, November, 2020. CEUR Workshop Proceedings 2722, CEUR-WS.org 2020 [contents] - [i13]Dimitar Dimitrov, Erdal Baran, Pavlos Fafalios, Ran Yu, Xiaofei Zhu, Matthäus Zloch, Stefan Dietze:
TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic. CoRR abs/2006.14492 (2020) - [i12]Arjun Roy, Pavlos Fafalios, Asif Ekbal, Xiaofei Zhu, Stefan Dietze:
Exploiting stance hierarchies for cost-sensitive stance detection of Web documents. CoRR abs/2007.15121 (2020) - [i11]Masoud Davari, Daniel Hienert, Dagmar Kern, Stefan Dietze:
The Role of Word-Eye-Fixations for Query Term Prediction. CoRR abs/2008.02017 (2020)
2010 – 2019
- 2019
- [j20]Ujwal Gadiraju, Gianluca Demartini, Ricardo Kawase, Stefan Dietze:
Crowd Anatomy Beyond the Good and Bad: Behavioral Traces for Crowd Worker Modeling and Pre-selection. Comput. Support. Cooperative Work. 28(5): 815-841 (2019) - [j19]Ran Yu, Ujwal Gadiraju, Besnik Fetahu, Oliver Lehmberg, Dominique Ritze, Stefan Dietze:
KnowMore - knowledge base augmentation with structured web markup. Semantic Web 10(1): 159-180 (2019) - [c100]Matthäus Zloch, Maribel Acosta, Daniel Hienert, Stefan Dietze, Stefan Conrad:
A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs. ESWC 2019: 523-539 - [c99]Narges Tavakolpoursaleh, Johann Schaible, Stefan Dietze:
Using Word Embeddings for Recommending Datasets based on Scientific Publications. LWDA 2019: 365-370 - [c98]Ralph Ewerth, Stefan Dietze, Anett Hoppe, Ran Yu:
SALMM'19: First International Workshop on Search as Learning with Multimedia Information. ACM Multimedia 2019: 2724-2725 - [c97]Renato Stoffalette João, Pavlos Fafalios, Stefan Dietze:
Same but different: distant supervision for predicting and understanding entity linking difficulty. SAC 2019: 1019-1026 - [c96]Katarina Boland, Pavlos Fafalios, Andon Tchechmedjiev, Konstantin Todorov, Stefan Dietze:
Modeling and Contextualizing Claims. BlockSW/CKG@ISWC 2019 - [c95]Malo Gasquet, Darlene Brechtel, Matthäus Zloch, Andon Tchechmedjiev, Katarina Boland, Pavlos Fafalios, Stefan Dietze, Konstantin Todorov:
Exploring Fact-checked Claims and their Descriptive Statistics. ISWC (Satellites) 2019: 289-292 - [c94]Andon Tchechmedjiev, Pavlos Fafalios, Katarina Boland, Malo Gasquet, Matthäus Zloch, Benjamin Zapilko, Stefan Dietze, Konstantin Todorov:
ClaimsKG: A Knowledge Graph of Fact-Checked Claims. ISWC (2) 2019: 309-324 - [c93]Nicolas Tempelmeier, Yannick Rietz, Iryna V. Lishchuk, Tina Kruegel, Olaf Mumm, Vanessa Miriam Carlow, Stefan Dietze, Elena Demidova:
Data4UrbanMobility: Towards Holistic Data Analytics for Mobility Applications in Urban Regions. WWW (Companion Volume) 2019: 137-145 - [e14]Elena Demidova, Stefan Dietze, John G. Breslin, Simon Gottschalk, Philipp Cimiano, Basil Ell, Agnieszka Lawrynowicz, Laura Moss, Axel-Cyrille Ngonga Ngomo:
Joint Proceedings of the 6th International Workshop on Dataset PROFlLing and Search & the 1st Workshop on Semantic Explainability co-located with the 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 27, 2019. CEUR Workshop Proceedings 2465, CEUR-WS.org 2019 [contents] - [r1]Stefan Dietze, Elena Demidova, Konstantin Todorov:
RDF Dataset Profiling. Encyclopedia of Big Data Technologies 2019 - [i10]Nicolas Tempelmeier, Yannick Rietz, Iryna V. Lishchuk, Tina Kruegel, Olaf Mumm, Vanessa Miriam Carlow, Stefan Dietze, Elena Demidova:
Data4UrbanMobility: Towards Holistic Data Analytics for Mobility Applications in Urban Regions. CoRR abs/1903.12064 (2019) - [i9]Matthäus Zloch, Maribel Acosta, Daniel Hienert, Stefan Dietze, Stefan Conrad:
A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs. CoRR abs/1907.01885 (2019) - 2018
- [j18]Mohamed Ben Ellefi, Zohra Bellahsene, John G. Breslin, Elena Demidova, Stefan Dietze, Julian Szymanski, Konstantin Todorov:
RDF dataset profiling - a survey of features, methods, vocabularies and applications. Semantic Web 9(5): 677-705 (2018) - [j17]Crystiam Kelle Pereira, Sean Wolfgand Matsui Siqueira, Bernardo Pereira Nunes, Stefan Dietze:
Linked Data in Education: A Survey and a Synthesis of Actual Research and Future Challenges. IEEE Trans. Learn. Technol. 11(3): 400-412 (2018) - [c92]Ujwal Gadiraju, Ran Yu, Stefan Dietze, Peter Holtz:
Analyzing Knowledge Gain of Users in Informational Search Sessions on the Web. CHIIR 2018: 2-11 - [c91]Nilamadhaba Mohapatra, Vasileios Iosifidis, Asif Ekbal, Stefan Dietze, Pavlos Fafalios:
Time-Aware and Corpus-Specific Entity Relatedness. DL4KGS@ESWC 2018: 33-39 - [c90]Pavlos Fafalios, Vasileios Iosifidis, Eirini Ntoutsi, Stefan Dietze:
TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets. ESWC 2018: 177-190 - [c89]Ran Yu, Ujwal Gadiraju, Peter Holtz, Markus Rokicki, Philipp Kemkes, Stefan Dietze:
Predicting User Knowledge Gain in Informational Search Sessions. SIGIR 2018: 75-84 - [c88]Nicolas Tempelmeier, Elena Demidova, Stefan Dietze:
Inferring Missing Categorical Information in Noisy and Sparse Web Markup. WWW 2018: 1297-1306 - [c87]Laura Koesten, Elena Demidova, Vadim Savenkov, John G. Breslin, Óscar Corcho, Stefan Dietze, Elena Simperl:
PROFILES & DATA: SEARCH International Workshop on Profiling and Searching Data on the Web Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 1479-1480 - [e13]Angela Fessl, Stefan Thalmann, Mathieu d'Aquin, Peter Holtz, Stefan Dietze:
Proceedings of the 1st Workshop on Analytics for Everyday Learning co-located with 13th European Conference on Technology Enhanced Learning (EC-TEL 2018), Leeds, United Kingdom, September 4, 2018. CEUR Workshop Proceedings 2209, CEUR-WS.org 2018 [contents] - [e12]