Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFrank van Harmelen
F. A. H. van Harmelen
Person information
- affiliation: VU University Amsterdam, Netherlands
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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]