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2020 – today
- 2024
- [j16]H. Ambre Ayats, Peggy Cellier, Sébastien Ferré:
Concepts of neighbors and their application to instance-based learning on relational data. Int. J. Approx. Reason. 164: 109059 (2024) - [j15]Inma P. Cabrera, Sébastien Ferré, Sergei Obiedkov:
Selected papers from the First International Joint Conference on Conceptual Knowledge Structures. Int. J. Approx. Reason. 175: 109303 (2024) - [c89]Vanessa Fokou, Peggy Cellier, Xavier Dolques, Sébastien Ferré, Florence Le Ber:
Comparing Relational Concept Analysis and Graph-FCA on Their Common Ground. CONCEPTS 2024: 63-79 - [c88]Alexandra Épiphanie Padonou, Peggy Cellier, Sébastien Ferré:
Étude de l'utilisation des modèles de langages pour l'interrogation en langue naturelle des graphes de connaissances. EGC 2024: 231-238 - [c87]Sébastien Ferré:
Tackling the Abstraction and Reasoning Corpus (ARC) with Object-Centric Models and the MDL Principle. IDA (1) 2024: 3-15 - [e5]Inma P. Cabrera, Sébastien Ferré, Sergei A. Obiedkov:
Conceptual Knowledge Structures - First International Joint Conference, CONCEPTS 2024, Cádiz, Spain, September 9-13, 2024, Proceedings. Lecture Notes in Computer Science 14914, Springer 2024, ISBN 978-3-031-67867-7 [contents] - 2023
- [c86]Sébastien Ferré:
Dexteris: Data Exploration and Transformation with a Guided Query Builder Approach. DEXA (1) 2023: 361-376 - [c85]Jens Lehmann, Sébastien Ferré, Sahar Vahdati:
Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering. ECAI 2023: 1348-1356 - [c84]Sébastien Ferré:
Le principe MDL au service de l'automatisation de tâches uniques d'abstraction et de raisonnement (ARC) à partir de peu d'exemples. EGC 2023: 235-246 - [c83]Sébastien Ferré:
Graph-FCA Meets Pattern Structures. ICFCA 2023: 33-48 - [i3]Francesco Bariatti, Peggy Cellier, Sébastien Ferré:
KG-MDL: Mining Graph Patterns in Knowledge Graphs with the MDL Principle. CoRR abs/2309.12908 (2023) - [i2]Sébastien Ferré:
Tackling the Abstraction and Reasoning Corpus (ARC) with Object-centric Models and the MDL Principle. CoRR abs/2311.00545 (2023) - 2022
- [c82]Sébastien Ferré:
Exploring the Application of Graph-FCA to the Problem of Knowledge Graph Alignment. CLA 2022: 79-92 - [c81]H. Ambre Ayats, Peggy Cellier, Sébastien Ferré:
CONNOR: Exploring Similarities in Graphs with Concepts of Neighbors. CLA 2022: 219-224 - [c80]Sébastien Ferré, Peggy Cellier:
Modeling Complex Structures in Graph-FCA: Illustration on Natural Language Syntax. CLA 2022: 225-230 - [c79]H. Ambre Ayats, Peggy Cellier, Sébastien Ferré:
A Two-Step Approach for Explainable Relation Extraction. IDA 2022: 14-25 - [p7]Sébastien Ferré:
Conceptual Navigation in Large Knowledge Graphs. Complex Data Analytics with Formal Concept Analysis 2022: 17-45 - 2021
- [j14]Sébastien Ferré:
Application of concepts of neighbours to knowledge graph completion1. Data Sci. 4(1): 1-28 (2021) - [c78]Sébastien Ferré:
Analytical Queries on Vanilla RDF Graphs with a Guided Query Builder Approach. FQAS 2021: 41-53 - [c77]Sébastien Ferré:
Adding Structure and Removing Duplicates in SPARQL Results with Nested Tables. SEMANTiCS 2021: 227-240 - [c76]H. Ambre Ayats, Peggy Cellier, Sébastien Ferré:
Extracting Relations in Texts with Concepts of Neighbours. ICFCA 2021: 155-171 - [c75]Francesco Bariatti, Peggy Cellier, Sébastien Ferré:
GraphMDL+: interleaving the generation and MDL-based selection of graph patterns. SAC 2021: 355-363 - [i1]Sébastien Ferré:
First Steps of an Approach to the ARC Challenge based on Descriptive Grid Models and the Minimum Description Length Principle. CoRR abs/2112.00848 (2021) - 2020
- [j13]Sébastien Ferré, Peggy Cellier:
Graph-FCA: An extension of formal concept analysis to knowledge graphs. Discret. Appl. Math. 273: 81-102 (2020) - [j12]Romaric Marcilly, Laura Douze, Sébastien Ferré, Bissan Audeh, Carlos Bobed, Agnès Lillo-Le Louët, Jean-Baptiste Lamy, Cédric Bousquet:
How to interact with medical terminologies? Formative usability evaluations comparing three approaches for supporting the use of MedDRA by pharmacovigilance specialists. BMC Medical Informatics Decis. Mak. 20(1): 261 (2020) - [j11]Carlos Bobed, Pierre Maillot, Peggy Cellier, Sébastien Ferré:
Data-driven assessment of structural evolution of RDF graphs. Semantic Web 11(5): 831-853 (2020) - [c74]Priscilla Keip, Sébastien Ferré, Alain Gutierrez, Marianne Huchard, Pierre Silvie, Pierre Martin:
Practical Comparison of FCA Extensions to Model Indeterminate Value of Ternary Data. CLA 2020: 197-208 - [c73]Francesco Bariatti, Peggy Cellier, Sébastien Ferré:
GraphMDL : sélection de motifs de graphes avec le principe MDL. EGC 2020: 37-48 - [c72]Nicolas Fouqué, Sébastien Ferré, Peggy Cellier:
Concepts de voisins dans les graphes RDF : Une extension Jena et une interface graphique. EGC 2020: 483-490 - [c71]Francesco Bariatti, Peggy Cellier, Sébastien Ferré:
GraphMDL: Graph Pattern Selection Based on Minimum Description Length. IDA 2020: 54-66 - [c70]Sébastien Ferré:
A Proposal for Nested Results in SPARQL. ISWC (Demos/Industry) 2020: 114-119 - [p6]Sébastien Ferré, Marianne Huchard, Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli:
Formal Concept Analysis: From Knowledge Discovery to Knowledge Processing. A Guided Tour of Artificial Intelligence Research (2) (II) 2020: 411-445 - [e4]Sébastien Ferré:
IC 2020 : 31es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 31st French Knowledge Engineering Conference), Angers, France, June 29 - July 3, 2020. 2020 [contents]
2010 – 2019
- 2019
- [c69]Sébastien Ferré:
Link Prediction in Knowledge Graphs with Concepts of Nearest Neighbours. ESWC 2019: 84-100 - [c68]Sébastien Ferré:
Prédiction de liens dans les graphes de connaissances avec les concepts de plus proches voisins. EGC 2019: 69-80 - 2018
- [c67]Sébastien Ferré, Peggy Cellier:
How Hierarchies of Concept Graphs Can Facilitate the Interpretation of RCA Lattices? CLA 2018: 69-80 - [c66]Sébastien Ferré:
Responsive and Flexible Controlled Natural Language Authoring with Zipper-Based Transformations. CNL 2018: 21-30 - [c65]Carlos Bobed, Laura Douze, Sébastien Ferré, Romaric Marcilly:
PEGASE: A Knowledge Graph for Search and Exploration in Pharmacovigilance Data. EKAW (Posters & Demos) 2018: 33-36 - [c64]Sébastien Ferré:
What's New in SPARKLIS. EKAW (Posters & Demos) 2018: 41-44 - [c63]Sébastien Ferré:
Answers Partitioning and Lazy Joins for Efficient Query Relaxation and Application to Similarity Search. ESWC 2018: 209-224 - [c62]Carlos Bobed, Laura Douze, Sébastien Ferré, Romaric Marcilly:
Sparklis over PEGASE knowledge graph: a new tool for pharmacovigilance. SWAT4LS 2018 - 2017
- [j10]Sébastien Ferré:
Sparklis: An expressive query builder for SPARQL endpoints with guidance in natural language. Semantic Web 8(3): 405-418 (2017) - [c61]Pierre Maillot, Sébastien Ferré, Peggy Cellier, Mireille Ducassé, Franck Partouche:
Nested Forms with Dynamic Suggestions for Quality RDF Authoring. DEXA (1) 2017: 35-45 - [c60]Sébastien Ferré:
Concepts de plus proches voisins dans des graphes de connaissances. IC 2017: 163-174 - [c59]Fabien Chevalier, Sébastien Ferré:
Entering the Digital Customer Onboarding Era: How the Semantic Web Can Help. ISWC (Posters, Demos & Industry Tracks) 2017 - [e3]Karell Bertet, Daniel Borchmann, Peggy Cellier, Sébastien Ferré:
Formal Concept Analysis - 14th International Conference, ICFCA 2017, Rennes, France, June 13-16, 2017, Proceedings. Lecture Notes in Computer Science 10308, Springer 2017, ISBN 978-3-319-59270-1 [contents] - 2016
- [j9]Mouhamadou Ba, Sébastien Ferré, Mireille Ducassé:
Solving Data Mismatches in Bioinformatics Workflows by Generating Data Converters. Trans. Large Scale Data Knowl. Centered Syst. 24: 88-115 (2016) - [c58]Pierre Maillot, Sébastien Ferré, Peggy Cellier, Mireille Ducassé, Franck Partouche:
FORMULIS: Dynamic Form-Based Interface for Guided Knowledge Graph Authoring. EKAW (Satellite Events) 2016: 140-144 - [c57]Sébastien Ferré:
Semantic Authoring of Ontologies by Exploration and Elimination of Possible Worlds. EKAW 2016: 180-195 - [c56]Sébastien Ferré:
An RDF Design Pattern for the Structural Representation and Querying of Expressions. EKAW 2016: 196-211 - [c55]Sébastien Ferré:
SPARKLIS on QALD-6 Statistical Questions. SemWebEval@ESWC 2016: 178-187 - [c54]Sébastien Ferré:
Bridging the Gap Between Formal Languages and Natural Languages with Zippers. ESWC 2016: 269-284 - [c53]Peggy Cellier, Sébastien Ferré, Annie Foret, Olivier Ridoux:
Exploration des Données du Défi EGC 2016 à l'aide d'un Système d'Information Logique. EGC 2016: 443-448 - [c52]Sébastien Ferré, Peggy Cellier:
Graph-FCA in Practice. ICCS 2016: 107-121 - 2015
- [c51]Sébastien Ferré:
Conception interactive d'ontologies par élimination de mondes possibles. IC 2015 - [c50]Sébastien Ferré:
PEW : un outil d'aide à la conception d'ontologies par l'exploration des mondes possibles. IC 2015 - [c49]Sébastien Ferré:
A Proposal for Extending Formal Concept Analysis to Knowledge Graphs. ICFCA 2015: 271-286 - [c48]Mouhamadou Ba, Sébastien Ferré, Mireille Ducassé:
Safe Suggestions Based on Type Convertibility to Guide Workflow Composition. ISMIS 2015: 230-236 - 2014
- [b1]Sébastien Ferré:
Reconciling Expressivity and Usability in Information Access : from File Systems to the Semantic Web. University of Rennes 1, France, 2014 - [j8]Sébastien Ferré:
SQUALL: The expressiveness of SPARQL 1.1 made available as a controlled natural language. Data Knowl. Eng. 94: 163-188 (2014) - [c47]Mouhamadou Ba, Sébastien Ferré, Mireille Ducassé:
Generating Data Converters to Help Compose Services in Bioinformatics Workflows. DEXA (1) 2014: 284-298 - [c46]Sébastien Ferré:
SPARKLIS: a SPARQL Endpoint Explorer for Expressive Question Answering. ISWC (Posters & Demos) 2014: 45-48 - [c45]Sébastien Ferré:
Expressive and Scalable Query-Based Faceted Search over SPARQL Endpoints. ISWC (2) 2014: 438-453 - 2013
- [c44]Sébastien Ferré:
squall2sparql: a Translator from Controlled English to Full SPARQL 1.1. CLEF (Working Notes) 2013 - [c43]Joris Guyonvarch, Sébastien Ferré:
Scalewelis: a Scalable Query-based Faceted Search System on Top of SPARQL Endpoints. CLEF (Working Notes) 2013 - [c42]Sébastien Ferré:
Representation of Complex Expressions in RDF. ESWC (Satellite Events) 2013: 273-274 - [c41]Sébastien Ferré:
SQUALL: A Controlled Natural Language as Expressive as SPARQL 1.1. NLDB 2013: 114-125 - 2012
- [j7]Sébastien Ferré, Alice Hermann:
Reconciling faceted search and query languages for the Semantic Web. Int. J. Metadata Semant. Ontologies 7(1): 37-54 (2012) - [c40]Sébastien Ferré:
SQUALL: A Controlled Natural Language for Querying and Updating RDF Graphs. CNL 2012: 11-25 - [c39]Sébastien Ferré, Sebastian Rudolph:
Advocatus Diaboli - Exploratory Enrichment of Ontologies with Negative Constraints. EKAW 2012: 42-56 - [c38]Alice Hermann, Sébastien Ferré, Mireille Ducassé:
An Interactive Guidance Process Supporting Consistent Updates of RDFS Graphs. EKAW 2012: 185-199 - [c37]Alice Hermann, Sébastien Ferré, Mireille Ducassé:
Guided Semantic Annotation of Comic Panels with Sewelis. EKAW 2012: 430-433 - [c36]Sébastien Ferré:
Extension du langage de requêtes LISQL pour la représentation et l'exploration d'expressions mathématiques en RDF. IC 2012: 285-300 - [c35]Alice Hermann, Sébastien Ferré, Mireille Ducassé:
Aide à la création d'objets dans une base RDF(S) avec des règles de relaxation. IC 2012: 301-316 - [c34]Sébastien Ferré, Pierre Allard, Olivier Ridoux:
Cubes of Concepts: Multi-dimensional Exploration of Multi-valued Contexts. ICFCA 2012: 112-127 - 2011
- [c33]Sébastien Ferré, Alice Hermann, Mireille Ducassé:
Combining Faceted Search and Query Languages for the Semantic Web. CAiSE Workshops 2011: 554-563 - [c32]Mireille Ducassé, Sébastien Ferré, Peggy Cellier:
Building up Shared Knowledge with Logical Information Systems. CLA 2011: 31-42 - [c31]Peggy Cellier, Sébastien Ferré, Mireille Ducassé, Thierry Charnois:
Partial Orders and Logical Concept Analysis to Explore Patterns Extracted by Data Mining. ICCS 2011: 77-90 - [c30]Alice Hermann, Sébastien Ferré, Mireille Ducassé:
Guided creation and update of objects in RDF(S) bases. K-CAP 2011: 189-190 - [c29]Peggy Cellier, Mireille Ducassé, Sébastien Ferré, Olivier Ridoux:
Multiple Fault Localization with Data Mining. SEKE 2011: 238-243 - [c28]Sébastien Ferré, Alice Hermann:
Semantic Search: Reconciling Expressive Querying and Exploratory Search. ISWC (1) 2011: 177-192 - 2010
- [c27]Pierre Allard, Sébastien Ferré, Olivier Ridoux:
Discovering Functional Dependencies and Association Rules by Navigating in a Lattice of OLAP Views. CLA 2010: 199-210 - [c26]Pierre Allard, Sébastien Ferré:
Recherche de dépendances fonctionnelles et de règles d'association avec OLAP. EGC 2010: 651-652 - [c25]Sébastien Ferré:
Conceptual Navigation in RDF Graphs with SPARQL-Like Queries. ICFCA 2010: 193-208 - [c24]Annie Foret, Sébastien Ferré:
On Categorial Grammars as Logical Information Systems. ICFCA 2010: 225-240 - [e2]Madalina Croitoru, Sébastien Ferré, Dickson Lukose:
Conceptual Structures: From Information to Intelligence, 18th International Conference on Conceptual Structures, ICCS 2010, Kuching, Sarawak, Malaysia, July 26-30, 2010. Proceedings. Lecture Notes in Computer Science 6208, Springer 2010, ISBN 978-3-642-14196-6 [contents]
2000 – 2009
- 2009
- [j6]Sébastien Ferré:
Camelis: a logical information system to organise and browse a collection of documents. Int. J. Gen. Syst. 38(4): 379-403 (2009) - [c23]Sébastien Ferré:
Efficient Browsing and Update of Complex Data Based on the Decomposition of Contexts. ICCS 2009: 159-172 - [c22]Peggy Cellier, Mireille Ducassé, Sébastien Ferré, Olivier Ridoux:
DeLLIS: A Data Mining Process for Fault Localization. SEKE 2009: 432-437 - [p5]Giovanni Maria Sacco, Sébastien Ferré, Yannis Tzitzikas:
Comparison with Other Techniques. Dynamic Taxonomies and Faceted Search 2009: 35-74 - [p4]Moritz Stefaner, Sébastien Ferré, Saverio Perugini, Jonathan Koren, Yi Zhang:
User Interface Design. Dynamic Taxonomies and Faceted Search 2009: 75-112 - [p3]Giovanni Maria Sacco, Sébastien Ferré:
Extensions to the Model. Dynamic Taxonomies and Faceted Search 2009: 113-144 - [p2]Giovanni Maria Sacco, Yannis Tzitzikas, Sébastien Ferré:
System Implementation. Dynamic Taxonomies and Faceted Search 2009: 215-261 - [p1]Giovanni Maria Sacco, Sébastien Ferré:
Applications and Experiences. Dynamic Taxonomies and Faceted Search 2009: 263-302 - [e1]Sébastien Ferré, Sebastian Rudolph:
Formal Concept Analysis, 7th International Conference, ICFCA 2009, Darmstadt, Germany, May 21-24, 2009, Proceedings. Lecture Notes in Computer Science 5548, Springer 2009, ISBN 978-3-642-01814-5 [contents] - 2008
- [j5]Peggy Cellier, Sébastien Ferré, Olivier Ridoux, Mireille Ducassé:
A Parameterized Algorithm to Explore Formal Contexts with a Taxonomy. Int. J. Found. Comput. Sci. 19(2): 319-343 (2008) - [c21]Sébastien Ferré:
Agile Browsing of a Document Collection with Dynamic Taxonomies. DEXA Workshops 2008: 377-381 - [c20]Pierre Allard, Sébastien Ferré:
Dynamic Taxonomies for the Semantic Web. DEXA Workshops 2008: 382-386 - [c19]Mireille Ducassé, Sébastien Ferré:
Fair(er) and (Almost) Serene Committee Meetings with Logical and Formal Concept Analysis. ICCS 2008: 217-230 - [c18]Olivier Bedel, Sébastien Ferré, Olivier Ridoux:
Handling Spatial Relations in Logical Concept Analysis to Explore Geographical Data. ICFCA 2008: 241-257 - [c17]Peggy Cellier, Mireille Ducassé, Sébastien Ferré, Olivier Ridoux:
Formal Concept Analysis Enhances Fault Localization in Software. ICFCA 2008: 273-288 - 2007
- [j4]Olivier Bedel, Sébastien Ferré, Olivier Ridoux, Erwan Quesseveur:
GEOLIS: a logical information system for geographical data. Rev. Int. Géomatique 17(3-4): 371-390 (2007) - [c16]Sébastien Ferré:
Camelis: Organizing and Browsing a Personal Photo Collection with a Logical Information System. CLA 2007 - [c15]Sébastien Ferré, Olivier Ridoux:
Logical Information Systems: from Taxonomies to Logics. DEXA Workshops 2007: 212-216 - [c14]Olivier Bedel, Sébastien Ferré, Olivier Ridoux, Erwan Quesseveur:
Exploring a Geographical Dataset with GEOLIS. DEXA Workshops 2007: 540-544 - [c13]Sébastien Ferré, Olivier Ridoux:
From Description Logics to Logic Functors, and Back. Description Logics 2007 - [c12]Sébastien Ferré:
The Efficient Computation of Complete and Concise Substring Scales with Suffix Trees. ICFCA 2007: 98-113 - [c11]Peggy Cellier, Sébastien Ferré, Olivier Ridoux, Mireille Ducassé:
A Parameterized Algorithm for Exploring Concept Lattices. ICFCA 2007: 114-129 - 2006
- [j3]Sébastien Ferré, Ross D. King:
Finding Motifs in Protein Secondary Structure for Use in Function Prediction. J. Comput. Biol. 13(3): 719-731 (2006) - [c10]Peggy Cellier, Sébastien Ferré, Olivier Ridoux, Mireille Ducassé:
An Algorithm to Find Frequent Concepts of a Formal Context with Taxonomy. CLA 2006: 226-231 - [c9]Sébastien Ferré:
Negation, Opposition, and Possibility in Logical Concept Analysis. ICFCA 2006: 130-145 - 2005
- [j2]Sébastien Ferré, Ross D. King:
A Dichotomic Search Algorithm for Mining and Learning in Domain-Specific Logics. Fundam. Informaticae 66(1-2): 1-32 (2005) - [c8]Sébastien Ferré, Olivier Ridoux, Benjamin Sigonneau:
Arbitrary Relations in Formal Concept Analysis and Logical Information Systems. ICCS 2005: 166-180 - 2004
- [j1]Sébastien Ferré, Olivier Ridoux:
Introduction to logical information systems. Inf. Process. Manag. 40(3): 383-419 (2004) - [c7]Sébastien Ferré, Ross D. King:
BLID: An Application of Logical Information Systems to Bioinformatics. ICFCA 2004: 47-54 - 2002
- [c6]Sébastien Ferré, Olivier Ridoux:
The Use of Associative Concepts in the Incremental Building of a Logical Context. ICCS 2002: 299-313 - 2001
- [c5]Sébastien Ferré:
Complete and Incomplete Knowledge in Logical Information Systems. ECSQARU 2001: 782-791 - [c4]Sébastien Ferré, Olivier Ridoux:
Searching for Objects and Properties with Logical Concept Analysis. ICCS 2001: 187-201 - [c3]Sébastien Ferré, Olivier Ridoux:
A Framework for Developing Embeddable Customized Logics. LOPSTR 2001: 191-215 - 2000
- [c2]Sébastien Ferré, Olivier Ridoux:
A File System Based on Concept Analysis. Computational Logic 2000: 1033-1047 - [c1]Sébastien Ferré, Olivier Ridoux:
A Logical Generalization of Formal Concept Analysis. ICCS 2000: 371-384
Coauthor Index
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