Publications

315 entries « 2 of 11 »

2021

Sadeghi, Afshin; Collarana, Diego; Graux, Damien; Lehmann, Jens

Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities Inproceedings

In: Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part II, pp. 548–564, Springer, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Kacupaj, Endri; Premnadh, Shyamnath; Singh, Kuldeep; Lehmann, Jens; Maleshkova, Maria

VOGUE: Answer Verbalization Through Multi-Task Learning Inproceedings

In: Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part III, pp. 563–579, Springer, 2021.

BibTeX | Research Area: Question Answering over Knowledge Graphs | Links:

Sadeghi, Afshin; Shahini, Xhulia; Schmitz, Martin; Lehmann, Jens

BenchEmbedd: A FAIR Benchmarking tool for Knowledge Graph Embeddings Inproceedings

In: Joint Proceedings of the Semantics co-located events: Poster&Demo track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins co-located with Semantics 2021, Amsterdam and Online, September 6-9, 2021, CEUR-WS.org, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Xu, Chengjin; Nayyeri, Mojtaba; Vahdati, Sahar; Lehmann, Jens

Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings Inproceedings

In: International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, pp. 1–8, IEEE, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Ali, Mehdi; Berrendorf, Max; Galkin, Mikhail; Thost, Veronika; Ma, Tengfei; Tresp, Volker; Lehmann, Jens

Improving Inductive Link Prediction Using Hyper-relational Facts Inproceedings

In: The Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24-28, 2021, Proceedings, pp. 74–92, Springer, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Chakraborty, Nilesh; Lukovnikov, Denis; Maheshwari, Gaurav; Trivedi, Priyansh; Lehmann, Jens; Fischer, Asja

Introduction to neural network-based question answering over knowledge graphs Journal Article

In: Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 11 (3), 2021.

BibTeX | Research Area: Question Answering over Knowledge Graphs | Links:

Nayyeri, Mojtaba; Cil, Gökce Müge; Vahdati, Sahar; Osborne, Francesco; Kravchenko, Andrey; Angioni, Simone; Salatino, Angelo A.; Recupero, Diego Reforgiato; Motta, Enrico; Lehmann, Jens

Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain Journal Article

In: IEEE Access, 9 , pp. 116002–116014, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Oliveira, Italo Lopes; Fileto, Renato; Speck, René; Garcia, Luís Paulo F.; Moussallem, Diego; Lehmann, Jens

Towards holistic Entity Linking: Survey and directions Journal Article

In: Information Systems, 95 , pp. 101624, 2021.

BibTeX | Research Area: Knowledge Extraction | Links:

Nayyeri, Mojtaba; Cil, Gökce Müge; Vahdati, Sahar; Osborne, Francesco; Rahman, Mahfuzur; Angioni, Simone; Salatino, Angelo A.; Recupero, Diego Reforgiato; Vassilyeva, Nadezhda; Motta, Enrico; Lehmann, Jens

Trans4E: Link prediction on scholarly knowledge graphs Journal Article

In: Neurocomputing, 461 , pp. 530–542, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Draschner, Carsten Felix; Stadler, Claus; Moghaddam, Farshad Bakhshandegan; Lehmann, Jens; Jabeen, Hajira

DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs Inproceedings

In: CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, pp. 4465–4474, ACM, 2021.

BibTeX | Research Area: Distributed Analytics | Links:

Nedelchev, Rostislav; Lehmann, Jens; Usbeck, Ricardo

Proxy Indicators for the Quality of Open-domain Dialogues Inproceedings

In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pp. 7834–7855, Association for Computational Linguistics, 2021.

BibTeX | Research Area: Dialogue Systems | Links:

Xu, Chengjin; Su, Fenglong; Lehmann, Jens

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs Inproceedings

In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pp. 8999–9010, Association for Computational Linguistics, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Nayyeri, Mojtaba; Xu, Chengjin; Hoffmann, Franca; Alam, Mirza Mohtashim; Lehmann, Jens; Vahdati, Sahar

Knowledge Graph Representation Learning using Ordinary Differential Equations Inproceedings

In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pp. 9529–9548, Association for Computational Linguistics, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Alam, Mehwish; Ali, Mehdi; Groth, Paul; Hitzler, Pascal; Lehmann, Jens; Paulheim, Heiko; Rettinger, Achim; Sack, Harald; Sadeghi, Afshin; Tresp, Volker (Ed.)

Machine Learning with Symbolic Methods and Knowledge Graphs co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Virtual, September 17, 2021 Proceeding

CEUR-WS.org, 2997 , 2021.

BibTeX | Links:

Rivas, Ariam; Grangel-González, Irlán; Collarana, Diego; Lehmann, Jens; Vidal, Maria-Esther

Discover Relations in the Industry 4.0 Standards Via Unsupervised Learning on Knowledge Graph Embeddings Journal Article

In: J. Data Intell., 2 (3), pp. 326–347, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Mohamed, Heba; Fathalla, Said; Lehmann, Jens; Jabeen, Hajira

A Scalable Approach for Distributed Reasoning over Large-scale OWL Datasets Inproceedings

In: Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2021, Volume 2: KEOD, Online Streaming, October 25-27, 2021, pp. 51–60, SCITEPRESS, 2021.

BibTeX | Research Area: Distributed Analytics | Links:

Grubenmann, Tobias; Lehmann, Jens

Geolog: Scalable Logic Programming on Spatial Data Inproceedings

In: Proceedings 37th International Conference on Logic Programming (Technical Communications), ICLP Technical Communications 2021, Porto (virtual event), 20-27th September 2021, pp. 191–204, 2021.

BibTeX | Links:

Lackner, Arthur; Fathalla, Said; Nayyeri, Mojtaba; Behrend, Andreas; Manthey, Rainer; Auer, Sören; Lehmann, Jens; Vahdati, Sahar

Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade Journal Article

In: Scientometrics, 126 (9), pp. 8129–8151, 2021.

BibTeX | Links:

Bharadhwaj, Vinay Srinivas; Ali, Mehdi; Birkenbihl, Colin; Mubeen, Sarah; Lehmann, Jens; Hofmann-Apitius, Martin; Hoyt, Charles Tapley; Domingo-Fernández, Daniel

CLEP: a hybrid data- and knowledge-driven framework for generating patient representations Journal Article

In: Bioinform., 37 (19), pp. 3311–3318, 2021.

BibTeX | Links:

Moghaddam, Farshad Bakhshandegan; Draschner, Carsten; Lehmann, Jens; Jabeen, Hajira

Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor Inproceedings

In: Further with Knowledge Graphs - Proceedings of the 17th International Conference on Semantic Systems, SEMANTiCS, Amsterdam, The Netherlands, September 6-9, 2021, pp. 74–88, IOS Press, 2021.

BibTeX | Research Area: Distributed Analytics | Links:

Ali, Mehdi; Berrendorf, Max; Hoyt, Charles Tapley; Vermue, Laurent; Sharifzadeh, Sahand; Tresp, Volker; Lehmann, Jens

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings Journal Article

In: J. Mach. Learn. Res., 22 , pp. 82:1–82:6, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Westphal, Patrick; Vahdati, Sahar; Lehmann, Jens

A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics Inproceedings

In: Inductive Logic Programming - 30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings, pp. 266–281, Springer, 2021.

BibTeX | Research Area: Concept Learning in Description Logics | Links:

Sadeghi, Afshin; Malik, Hirra; Collarana, Diego; Lehmann, Jens

Relational Pattern Benchmarking on the Knowledge Graph Link Prediction Task Inproceedings

In: Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, 2021.

BibTeX | Links:

2020

Jabeen, Hajira; Weinz, Jonas; Lehmann, Jens

AutoChef: Automated Generation of Cooking Recipes Inproceedings

In: IEEE Congress on Evolutionary Computation, CEC 2020, Glasgow, United Kingdom, July 19-24, 2020, pp. 1–7, IEEE, 2020.

BibTeX | Links:

Mulang, Isaiah Onando; Singh, Kuldeep; Prabhu, Chaitali; Nadgeri, Abhishek; Hoffart, Johannes; Lehmann, Jens

Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models Inproceedings

In: CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, pp. 2157–2160, ACM, 2020.

BibTeX | Research Area: Knowledge Extraction | Links:

Armitage, Jason; Kacupaj, Endri; Tahmasebzadeh, Golsa; Swati,; Maleshkova, Maria; Ewerth, Ralph; Lehmann, Jens

MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities Inproceedings

In: CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, pp. 2967–2974, ACM, 2020.

BibTeX | Links:

Xu, Chengjin; Nayyeri, Mojtaba; Chen, Yung-Yu; Lehmann, Jens

Knowledge Graph Embeddings in Geometric Algebras Inproceedings

In: Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, pp. 530–544, International Committee on Computational Linguistics, 2020.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Xu, Chengjin; Nayyeri, Mojtaba; Alkhoury, Fouad; Yazdi, Hamed Shariat; Lehmann, Jens

TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation Inproceedings

In: Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, pp. 1583–1593, International Committee on Computational Linguistics, 2020.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Nedelchev, Rostislav; Lehmann, Jens; Usbeck, Ricardo

Language Model Transformers as Evaluators for Open-domain Dialogues Inproceedings

In: Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, pp. 6797–6808, International Committee on Computational Linguistics, 2020.

BibTeX | Research Area: Dialogue Systems | Links:

Rivas, Ariam; Grangel-González, Irlán; Collarana, Diego; Lehmann, Jens; Vidal, Maria-Esther

Unveiling Relations in the Industry 4.0 Standards Landscape Based on Knowledge Graph Embeddings Inproceedings

In: Database and Expert Systems Applications - 31st International Conference, DEXA 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings, Part II, pp. 179–194, Springer, 2020.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

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