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Frank van Harmelen
F. A. H. van Harmelen
Person information

- affiliation: VU University Amsterdam, Netherlands
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2020 – today
- 2023
- [j75]Chengcheng Fu
, Zhisheng Huang
, Frank van Harmelen, Tingting He, Xingpeng Jiang
:
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health. Artif. Intell. Medicine 145: 102677 (2023) - [j74]Alessandro Daniele, Emile van Krieken
, Luciano Serafini, Frank van Harmelen
:
Refining neural network predictions using background knowledge. Mach. Learn. 112(9): 3293-3331 (2023) - [c167]Shuai Wang
, Joe Raad
, Peter Bloem
, Frank van Harmelen
:
Refining Large Integrated Identity Graphs Using the Unique Name Assumption. ESWC 2023: 55-71 - [c166]Roderick van der Weerdt, Victor de Boer, Laura Daniele, Ronald Siebes, Frank van Harmelen:
Evaluating the Effect of Semantic Enrichment on Entity Embeddings of IoT Knowledge Graphs. SWoCoT@ESWC 2023: 61-73 - [c165]Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Marta Sabou, Andreas Ekelhart, Andreea Iana, Heiko Paulheim, Jan Portisch, Artem Revenko, Frank van Harmelen, Annette ten Teije:
Combining Machine Learning and Semantic Web: A Systematic Mapping Study. NeSy 2023: 424 - [p15]Annette ten Teije
, Frank van Harmelen
:
Architectural Patterns for Neuro-Symbolic AI. Compendium of Neurosymbolic Artificial Intelligence 2023: 64-76 - [p14]Laura Waltersdorfer, Anna Breit, Fajar J. Ekaputra, Marta Sabou, Andreas Ekelhart, Andreea Iana, Heiko Paulheim
, Jan Portisch, Artem Revenko, Annette ten Teije
, Frank van Harmelen
:
Semantic Web Machine Learning Systems: An Analysis of System Patterns. Compendium of Neurosymbolic Artificial Intelligence 2023: 77-99 - [e18]Andreas Martin, Hans-Georg Fill, Aurona Gerber, Knut Hinkelmann, Doug Lenat, Reinhard Stolle, Frank van Harmelen:
Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023), Hyatt Regency, San Francisco Airport, California, USA, March 27-29, 2023. CEUR Workshop Proceedings 3433, CEUR-WS.org 2023 [contents] - [i19]Mehwish Alam, Frank van Harmelen, Maribel Acosta:
Towards Semantically Enriched Embeddings for Knowledge Graph Completion. CoRR abs/2308.00081 (2023) - 2022
- [j73]Emile van Krieken
, Erman Acar
, Frank van Harmelen
:
Analyzing Differentiable Fuzzy Logic Operators. Artif. Intell. 302: 103602 (2022) - [j72]Xu Wang
, Frank van Harmelen
, Zhisheng Huang
:
Recommending scientific datasets using author networks in ensemble methods. Data Sci. 5(2): 167-193 (2022) - [j71]Floris den Hengst
, Vincent François-Lavet, Mark Hoogendoorn, Frank van Harmelen
:
Planning for potential: efficient safe reinforcement learning. Mach. Learn. 111(6): 2255-2274 (2022) - [c164]Chengcheng Fu, Zhisheng Huang, Frank van Harmelen
, Tingting He, Xingpeng Jiang:
Food Recommendation for Mental Health by Using Knowledge Graph Approach. HIS 2022: 231-242 - [c163]Floris den Hengst
, Vincent François-Lavet, Mark Hoogendoorn, Frank van Harmelen
:
Reinforcement Learning with Option Machines. IJCAI 2022: 2909-2915 - [c162]Xu Wang
, Frank van Harmelen
, Michael Cochez
, Zhisheng Huang:
Scientific Item Recommendation Using a Citation Network. KSEM (2) 2022: 469-484 - [c161]Idries Nasim, Shuai Wang, Joe Raad, Peter Bloem, Frank van Harmelen:
What does it mean when your URIs are redirected? Examining identity and redirection in the LOD cloud. MEPDaW@ISWC 2022: 36-45 - [e17]Andreas Martin, Knut Hinkelmann, Hans-Georg Fill, Aurona Gerber, Doug Lenat, Reinhard Stolle, Frank van Harmelen:
Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), Stanford University, Palo Alto, California, USA, March 21-23, 2022. CEUR Workshop Proceedings 3121, CEUR-WS.org 2022 [contents] - [i18]Alessandro Daniele, Emile van Krieken, Luciano Serafini, Frank van Harmelen:
Refining neural network predictions using background knowledge. CoRR abs/2206.04976 (2022) - [i17]Emile van Krieken, Thiviyan Thanapalasingam, Jakub M. Tomczak, Frank van Harmelen, Annette ten Teije:
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference. CoRR abs/2212.12393 (2022) - [i16]Wendy E. Mackay, John Shawe-Taylor, Frank van Harmelen:
Human-Centered Artificial Intelligence (Dagstuhl Seminar 22262). Dagstuhl Reports 12(6): 112-117 (2022) - 2021
- [j70]Michael van Bekkum
, Maaike de Boer
, Frank van Harmelen
, André Meyer-Vitali
, Annette ten Teije
:
Modular design patterns for hybrid learning and reasoning systems. Appl. Intell. 51(9): 6528-6546 (2021) - [j69]Al Koudous Idrissou, Frank van Harmelen
, Peter van den Besselaar:
Network metrics for assessing the quality of entity resolution between multiple datasets. Semantic Web 12(1): 21-40 (2021) - [c160]Xu Wang
, Frank van Harmelen
, Zhisheng Huang:
Biomedical Dataset Recommendation. DATA 2021: 192-199 - [c159]Shuai Wang
, Joe Raad
, Peter Bloem
, Frank van Harmelen
:
Refining Transitive and Pseudo-Transitive Relations at Web Scale. ESWC 2021: 249-264 - [c158]Frank van Harmelen:
Keynote. MLSMKG@PKDD/ECML 2021 - [c157]Frank van Harmelen:
Modular Design Patterns for Systems that Learn and Reason. WI/IAT 2021: 4 - [e16]Andreas Martin, Knut Hinkelmann, Hans-Georg Fill
, Aurona Gerber, Doug Lenat, Reinhard Stolle, Frank van Harmelen:
Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), Stanford University, Palo Alto, California, USA, March 22-24, 2021. CEUR Workshop Proceedings 2846, CEUR-WS.org 2021 [contents] - [i15]Michael van Bekkum, Maaike de Boer, Frank van Harmelen, André Meyer-Vitali, Annette ten Teije:
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases. CoRR abs/2102.11965 (2021) - [i14]Tiansi Dong, Achim Rettinger, Jie Tang, Barbara Tversky, Frank van Harmelen:
Structure and Learning (Dagstuhl Seminar 21362). Dagstuhl Reports 11(8): 11-34 (2021) - 2020
- [j68]Zeynep Akata, Dan Balliet, Maarten de Rijke
, Frank Dignum, Virginia Dignum
, Guszti Eiben, Antske Fokkens
, Davide Grossi
, Koen V. Hindriks
, Holger H. Hoos, Hayley Hung, Catholijn M. Jonker, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek
, Henry Prakken, Stefan Schlobach
, Linda C. van der Gaag, Frank van Harmelen
, Herke van Hoof, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij
, Piek Vossen
, Max Welling:
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer 53(8): 18-28 (2020) - [j67]Joe Raad
, Wouter Beek, Frank van Harmelen
, Jan Wielemaker
, Nathalie Pernelle
, Fatiha Saïs:
Constructing and Cleaning Identity Graphs in the LOD Cloud. Data Intell. 2(3): 323-352 (2020) - [c156]Hamid R. Bazoobandi, Henri E. Bal, Frank van Harmelen
, Jacopo Urbani
:
Handling Impossible Derivations During Stream Reasoning. ESWC 2020: 3-19 - [c155]Wouter Beek
, Joe Raad, Erman Acar, Frank van Harmelen
:
MetaLink: A Travel Guide to the LOD Cloud. ESWC 2020: 481-496 - [c154]Xu Wang
, Zhisheng Huang, Frank van Harmelen
:
Ontology-Based Semantic Similarity Approach for Biomedical Dataset Retrieval. HIS 2020: 49-60 - [c153]Frank van Harmelen:
Hybrid Intelligence: AI Systems That Collaborate with People Instead of Replacing Them. KDIR 2020: 21 - [c152]Xander Wilcke
, Maurice de Kleijn, Victor de Boer
, Henk J. Scholten, Frank van Harmelen
:
Bottom-up Discovery of Context-aware Quality Constraints for Heterogeneous Knowledge Graphs. KDIR 2020: 81-92 - [c151]Xu Wang
, Frank van Harmelen
, Zhisheng Huang:
Ontology-based Methods for Classifying Scientific Datasets into Research Domains: Much Harder than Expected. KDIR 2020: 153-160 - [c150]Emile van Krieken
, Erman Acar, Frank van Harmelen
:
Analyzing Differentiable Fuzzy Implications. KR 2020: 893-903 - [c149]Frank van Harmelen:
Hybrid Intelligence: AI Systems that Collaborate with People Instead of Replacing Them. WEBIST 2020: 9 - [c148]Xu Wang
, Zhisheng Huang, Frank van Harmelen
:
Evaluating Similarity Measures for Dataset Search. WISE (2) 2020: 38-51 - [e15]Andreas Martin, Knut Hinkelmann, Hans-Georg Fill
, Aurona Gerber, Doug Lenat, Reinhard Stolle, Frank van Harmelen:
Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, AAAI-MAKE 2020, Palo Alto, CA, USA, March 23-25, 2020, Volume I. CEUR Workshop Proceedings 2600, CEUR-WS.org 2020 [contents] - [i13]Emile van Krieken
, Erman Acar, Frank van Harmelen
:
Analyzing Differentiable Fuzzy Logic Operators. CoRR abs/2002.06100 (2020) - [i12]W. X. Wilcke, Peter Bloem, Victor de Boer, R. H. van t Veer, F. A. H. van Harmelen:
End-to-End Entity Classification on Multimodal Knowledge Graphs. CoRR abs/2003.12383 (2020) - [i11]Emile van Krieken
, Erman Acar, Frank van Harmelen
:
Analyzing Differentiable Fuzzy Implications. CoRR abs/2006.03472 (2020)
2010 – 2019
- 2019
- [j66]Kerstin Denecke
, Frank van Harmelen
:
Recent advances in extracting and processing rich semantics from medical texts. Artif. Intell. Medicine 93: 11-12 (2019) - [j65]Emile van Krieken, Erman Acar, Frank van Harmelen:
Semi-supervised Learning using Differentiable Reasoning. FLAP 6(4): 633-652 (2019) - [j64]Frank van Harmelen
, Annette ten Teije
:
A Boxology of Design Patterns forHybrid Learningand Reasoning Systems. J. Web Eng. 18(1-3): 97-124 (2019) - [j63]Xander Wilcke
, Victor de Boer
, M. T. M. de Kleijn, Frank van Harmelen
, Henk J. Scholten:
User-centric pattern mining on knowledge graphs: An archaeological case study. J. Web Semant. 59 (2019) - [c147]Frank van Harmelen, Annette ten Teije:
A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems. BNAIC/BENELEARN 2019 - [c146]Frank van Harmelen:
Combining learning and reasoning: new challenges for knowledge graphs. EGC 2019: 1-2 - [c145]Al Koudous Idrissou, Veruska Zamborlini, Frank van Harmelen
, Chiara Latronico:
Contextual Entity Disambiguation in Domains with Weak Identity Criteria: Disambiguating Golden Age Amsterdamers. K-CAP 2019: 259-262 - [c144]Luigi Asprino, Wouter Beek
, Paolo Ciancarini
, Frank van Harmelen
, Valentina Presutti:
Observing LOD Using Equivalent Set Graphs: It Is Mostly Flat and Sparsely Linked. ISWC (1) 2019: 57-74 - [c143]Luigi Asprino, Wouter Beek, Paolo Ciancarini, Frank van Harmelen, Valentina Presutti:
Triplifying Equivalence Set Graphs. ISWC (Satellites) 2019: 253-256 - [c142]Jeff Z. Pan, Mei Zhang, Kuldeep Singh, Frank van Harmelen
, Jinguang Gu, Zhi Zhang:
Entity Enabled Relation Linking. ISWC (1) 2019: 523-538 - [c141]Floris den Hengst
, Mark Hoogendoorn, Frank van Harmelen
, Joost Bosman:
Reinforcement Learning for Personalized Dialogue Management. WI 2019: 59-67 - [e14]Andreas Martin, Knut Hinkelmann, Aurona Gerber, Doug Lenat, Frank van Harmelen, Peter Clark:
Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, Palo Alto, California, USA, March 25-27, 2019., Stanford University, Palo Alto, California, USA, March 25-27, 2019. CEUR Workshop Proceedings 2350, CEUR-WS.org 2019 [contents] - [e13]Jun Zhao, Frank van Harmelen
, Jie Tang, Xianpei Han, Quan Wang, Xianyong Li:
Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding - Third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018, Revised Selected Papers. Communications in Computer and Information Science 957, Springer 2019, ISBN 978-981-13-3145-9 [contents] - [i10]Frank van Harmelen, Annette ten Teije:
A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems. CoRR abs/1905.12389 (2019) - [i9]Luigi Asprino, Wouter Beek, Paolo Ciancarini, Frank van Harmelen, Valentina Presutti:
The Linked Open Data cloud is more abstract, flatter and less linked than you may think! CoRR abs/1906.08097 (2019) - [i8]Joe Raad, Nathalie Pernelle, Fatiha Saïs, Wouter Beek, Frank van Harmelen:
The sameAs Problem: A Survey on Identity Management in the Web of Data. CoRR abs/1907.10528 (2019) - [i7]Floris den Hengst, Mark Hoogendoorn, Frank van Harmelen, Joost Bosman:
Reinforcement Learning for Personalized Dialogue Management. CoRR abs/1908.00286 (2019) - [i6]Emile van Krieken
, Erman Acar, Frank van Harmelen:
Semi-Supervised Learning using Differentiable Reasoning. CoRR abs/1908.04700 (2019) - 2018
- [j62]Joe Raad, Wouter Beek, Nathalie Pernelle, Fatiha Saïs, Frank van Harmelen:
Détection de liens d'identité erronés en utilisant la détection de communautés dans les graphes d'identité. Ingénierie des Systèmes d Inf. 23(3-4): 61-88 (2018) - [c140]Al Koudous Idrissou, Frank van Harmelen
, Peter van den Besselaar:
Network Metrics for Assessing the Quality of Entity Resolution Between Multiple Datasets. EKAW 2018: 147-162 - [c139]Wouter Beek
, Joe Raad
, Jan Wielemaker
, Frank van Harmelen
:
sameAs.cc: The Closure of 500M owl: sameAs Statements. ESWC 2018: 65-80 - [c138]Joe Raad
, Wouter Beek
, Frank van Harmelen
, Nathalie Pernelle
, Fatiha Saïs:
Detecting Erroneous Identity Links on the Web Using Network Metrics. ISWC (1) 2018: 391-407 - 2017
- [j61]Veruska Zamborlini
, Marcos Da Silveira
, Cédric Pruski, Annette ten Teije
, Edwin Geleijn, Marike van der Leeden
, Martijn Stuiver, Frank van Harmelen
:
Analyzing interactions on combining multiple clinical guidelines. Artif. Intell. Medicine 81: 78-93 (2017) - [j60]Daniele Dell'Aglio
, Emanuele Della Valle
, Frank van Harmelen
, Abraham Bernstein
:
Stream reasoning: A survey and outlook. Data Sci. 1(1-2): 59-83 (2017) - [c137]Zhisheng Huang, Jie Yang, Frank van Harmelen
, Qing Hu
:
Constructing Disease-Centric Knowledge Graphs: A Case Study for Depression (short Version). AIME 2017: 48-52 - [c136]Zhisheng Huang, Jie Yang, Frank van Harmelen
, Qing Hu
:
Constructing Knowledge Graphs of Depression. HIS 2017: 149-161 - [c135]Al Koudous Idrissou, Rinke Hoekstra, Frank van Harmelen
, Ali Khalili
, Peter van den Besselaar:
Is my: sameAs the same as your: sameAs?: Lenticular Lenses for Context-Specific Identity. K-CAP 2017: 23:1-23:8 - [c134]Ali Khalili, Peter van den Besselaar, Al Koudous Idrissou, Klaas Andries de Graaf, Frank van Harmelen:
Semantically Mapping Science (SMS) Platform. SemSci@ISWC 2017: 1-6 - [c133]Hamid R. Bazoobandi, Jacopo Urbani
, Frank van Harmelen
, Henri E. Bal:
An Empirical Study on How the Distribution of Ontologies Affects Reasoning on the Web. ISWC (1) 2017: 69-86 - [c132]Xu Lei, Albert Meroño-Peñuela, Zhisheng Huang, Frank van Harmelen:
An Ontology Model for Narrative Image Annotation in the Field of Cultural Heritage. WHiSe@ISWC 2017: 117-122 - [e12]Hannes Werthner, Frank van Harmelen:
Informatics in the Future - Proceedings of the 11th European Computer Science Summit, ECSS 2015, Vienna, Austria, October 2015. Springer 2017, ISBN 978-3-319-55734-2 [contents] - 2016
- [j59]Wouter Beek
, Laurens Rietveld, Stefan Schlobach
, Frank van Harmelen
:
LOD Laundromat: Why the Semantic Web Needs Centralization (Even If We Don't Like It). IEEE Internet Comput. 20(2): 78-81 (2016) - [j58]Veruska Zamborlini
, Rinke Hoekstra, Marcos Da Silveira
, Cédric Pruski
, Annette ten Teije
, Frank van Harmelen
:
Inferring recommendation interactions in clinical guidelines. Semantic Web 7(4): 421-446 (2016) - [c131]Veruska Zamborlini
, Rinke Hoekstra, Marcos Da Silveira, Cédric Pruski, Annette ten Teije
, Frank van Harmelen
:
Generalizing the Detection of Internal and External Interactions in Clinical Guidelines. HEALTHINF 2016: 105-116 - [c130]Qing Hu, Zhisheng Huang, Annette ten Teije, Frank van Harmelen
, M. Scott Marshall, Andre Dekker:
A Topic-centric Approach to Detecting New Evidences for Evidence-based Medical Guidelines. HEALTHINF 2016: 282-289 - [c129]Veruska Zamborlini
, Rinke Hoekstra, Marcos Da Silveira, Cédric Pruski, Annette ten Teije
, Frank van Harmelen
:
Generalizing the Detection of Clinical Guideline Interactions Enhanced with LOD. BIOSTEC (Selected Papers) 2016: 360-386 - [c128]Wouter Beek
, Stefan Schlobach
, Frank van Harmelen
:
A Contextualised Semantics for owl: sameAs. ESWC 2016: 405-419 - [c127]Ali Khalili
, Antonis Loizou, Frank van Harmelen
:
Adaptive Linked Data-Driven Web Components: Building Flexible and Reusable Semantic Web Interfaces - Building Flexible and Reusable Semantic Web Interfaces. ESWC 2016: 677-692 - [c126]Mohammad Shafahi, Qing Hu, Hamideh Afsarmanesh, Zhisheng Huang, Annette ten Teije, Frank van Harmelen:
A Task-based Comparison of Linguistic and Semantic Document Retrieval Methods in the Medical Domain. EMSA-RMed@ESWC 2016 - [c125]Zhisheng Huang, Qing Hu
, Annette ten Teije
, Frank van Harmelen
, Salah Ait-Mokhtar:
Knowledge Services Using Rule-Based Formalization for Eligibility Criteria of Clinical Trials. HIS 2016: 49-61 - [c124]Veruska Zamborlini
, Qing Hu
, Zhisheng Huang, Marcos Da Silveira
, Cédric Pruski
, Annette ten Teije
, Frank van Harmelen
:
Knowledge-Driven Paper Retrieval to Support Updating of Clinical Guidelines - A Use Case on PubMed. KR4HC/ProHealth@HEC 2016: 71-89 - [c123]Qing Hu
, Zhisheng Huang, Annette ten Teije
, Frank van Harmelen
:
Detecting New Evidences for Evidence-Based Medical Guidelines with Journal Filtering. KR4HC/ProHealth@HEC 2016: 120-132 - [c122]Steven de Rooij, Wouter Beek
, Peter Bloem
, Frank van Harmelen
, Stefan Schlobach
:
Are Names Meaningful? Quantifying Social Meaning on the Semantic Web. ISWC (1) 2016: 184-199 - [c121]Bas Stringer, Albert Meroño-Peñuela, Sanne Abeln, Frank van Harmelen, Jaap Heringa:
SCRY: Extending SPARQL with Custom Data Processing Methods for the Life Sciences. SWAT4LS 2016 - [c120]Veruska Zamborlini, Jan Wielemaker, Marcos Da Silveira, Cédric Pruski, Annette ten Teije, Frank van Harmelen:
SWISH for Prototyping Clinical Guideline Interactions Theory. SWAT4LS 2016 - [e11]Gal A. Kaminka, Maria Fox, Paolo Bouquet, Eyke Hüllermeier, Virginia Dignum, Frank Dignum, Frank van Harmelen:
ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence (PAIS 2016). Frontiers in Artificial Intelligence and Applications 285, IOS Press 2016, ISBN 978-1-61499-671-2 [contents] - 2015
- [j57]Frank van Harmelen
, James A. Hendler
, Pascal Hitzler, Krzysztof Janowicz:
Semantics for Big Data. AI Mag. 36(1): 3-4 (2015) - [j56]Krzysztof Janowicz, Frank van Harmelen, James A. Hendler
, Pascal Hitzler:
Why the Data Train Needs Semantic Rails. AI Mag. 36(1): 5-14 (2015) - [j55]Krystyna Milian, Rinke Hoekstra
, Anca I. D. Bucur, Annette ten Teije
, Frank van Harmelen
, John Paulissen:
Enhancing reuse of structured eligibility criteria and supporting their relaxation. J. Biomed. Informatics 56: 205-219 (2015) - [j54]Albert Meroño-Peñuela
, Ashkan Ashkpour, Marieke van Erp
, Kees Mandemakers, Leen Breure, Andrea Scharnhorst
, Stefan Schlobach
, Frank van Harmelen
:
Semantic technologies for historical research: A survey. Semantic Web 6(6): 539-564 (2015) - [c119]Zhisheng Huang, Qing Hu
, Annette ten Teije
, Frank van Harmelen
:
Identifying Evidence Quality for Updating Evidence-Based Medical Guidelines. KR4HC/ProHealth 2015: 51-64 - [c118]Qing Hu
, Zhisheng Huang, Annette ten Teije
, Frank van Harmelen
:
Detecting New Evidence for Evidence-Based Guidelines Using a Semantic Distance Method. AIME 2015: 307-316 - [c117]Veruska Zamborlini
, Marcos Da Silveira
, Cédric Pruski
, Annette ten Teije
, Frank van Harmelen
:
Analyzing Recommendations Interactions in Clinical Guidelines - Impact of Action Type Hierarchies and Causation Beliefs. AIME 2015: 317-326 - [c116]Hamid R. Bazoobandi, Steven de Rooij, Jacopo Urbani
, Annette ten Teije
, Frank van Harmelen
, Henri E. Bal:
A Compact In-Memory Dictionary for RDF Data. ESWC 2015: 205-220 - 2014
- [j53]Gully Burns, Yolanda Gil
, Yan Liu, Natalia Villanueva-Rosales, Sebastian Risi, Joel Lehman, Jeff Clune, Christian Lebiere, Paul S. Rosenbloom, Frank van Harmelen
, James A. Hendler
, Pascal Hitzler, Krzysztof Janowicz, Samarth Swarup:
Reports on the 2013 AAAI Fall Symposium Series. AI Mag. 35(2): 69-74 (2014) - [j52]Jacopo Urbani
, Robert Piro, Frank van Harmelen
, Henri E. Bal:
Hybrid reasoning on OWL RL. Semantic Web 5(6): 423-447 (2014) - [j51]Alessandro Margara, Jacopo Urbani
, Frank van Harmelen
, Henri E. Bal:
Streaming the Web: Reasoning over dynamic data. J. Web Semant. 25: 24-44 (2014) - [c115]Zhisheng Huang, Frank van Harmelen
, Annette ten Teije, Andre Dekker:
Feasibility Estimation for Clinical Trials. HEALTHINF 2014: 68-77 - [c114]Qing Hu
, Zhisheng Huang, Frank van Harmelen
, Annette ten Teije, Jinguang Gu:
Evidence-Based Clinical Guidelines in SemanticCT. CSWS 2014: 198-212 - [c113]Veruska Zamborlini
, Rinke Hoekstra
, Marcos Da Silveira
, Cédric Pruski
, Annette ten Teije, Frank van Harmelen
:
A Conceptual Model for Detecting Interactions among Medical Recommendations in Clinical Guidelines - A Case-Study on Multimorbidity. EKAW 2014: 591-606 - [c112]Wouter Beek, Stefan Schlobach, Frank van Harmelen:
Rough Set Semantics for Identity on the Web. KR 2014 - [c111]Veruska Zamborlini
, Marcos Da Silveira
, Cédric Pruski
, Annette ten Teije
, Frank van Harmelen
:
Towards a Conceptual Model for Enhancing Reasoning About Clinical Guidelines - A Case-Study on Comorbidity. KR4HC@VSL 2014: 29-44 - [c110]Zhisheng Huang, Annette ten Teije
, Frank van Harmelen
, Salah Aït-Mokhtar:
Semantic Representation of Evidence-Based Clinical Guidelines. KR4HC@VSL 2014: 78-94 - 2013
- [c109]Wouter Beek, Stefan Schlobach, Frank van Harmelen:
Rough Set Semantics for Identity on the Web. AAAI Fall Symposia 2013 - [c108]Frank van Harmelen, James A. Hendler, Pascal Hitzler, Krzysztof Janowicz:
Organizing Committee. AAAI Fall Symposia 2013 - [c107]