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2020 – today
- 2025
[j41]Jorge Martinez-Gil
:
Framework to automatically determine the quality of open data catalogs. Expert Syst. Appl. 289: 128379 (2025)- [j40]Jorge Martinez-Gil:
Augmenting the Interpretability of GraphCodeBERT for Code Similarity Tasks. Int. J. Softw. Eng. Knowl. Eng. 35(5): 657-678 (2025) - [j39]Shaoyi Yin, Franck Morvan, Jorge Martinez-Gil, Abdelkader Hameurlain:
MTD-DS: An SLA-Aware Decision Support Benchmark for Multi-Tenant Parallel DBMSs. IEEE Trans. Knowl. Data Eng. 37(5): 2743-2755 (2025) - [c41]Jorge Martinez-Gil:
Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity Measures. SWQD 2025: 72-90 - [i16]Jorge Martinez-Gil:
Evaluating Small-Scale Code Models for Code Clone Detection. CoRR abs/2506.10995 (2025) - [i15]Jorge Martinez-Gil, Mario Pichler, Nefeli Bountouni, Sotiris Koussouris, Marielena Márquez-Barreiro, Sergio Gusmeroli:
An Agentic Framework for Rapid Deployment of Edge AI Solutions in Industry 5.0. CoRR abs/2510.25813 (2025) - 2024
- [j38]Franz Krause, Heiko Paulheim, Elmar Kiesling, Kabul Kurniawan, Maria Chiara Leva, Hector Diego Estrada-Lugo, Gernot Stübl, Nazim Kemal Üre, Javier Dominguez-Ledo, Maqbool Khan, Pedro Demolder, Hans Gaux, Bernhard Heinzl, Thomas Hoch, Jorge Martinez-Gil, Agastya Silvina, Bernhard Alois Moser:
Managing human-AI collaborations within Industry 5.0 scenarios via knowledge graphs: key challenges and lessons learned. Frontiers Artif. Intell. 7 (2024) - [j37]Jorge Martinez-Gil:
Optimizing readability using genetic algorithms. Knowl. Based Syst. 284: 111273 (2024) - [c40]Lolitta Ammann, Jorge Martinez-Gil, Michael Mayr, Georgios C. Chasparis:
Automated Knowledge Graph Learning in Industrial Processes. ISM 2024: 2428-2437 - [c39]Jorge Martinez-Gil:
Source Code Clone Detection Using Unsupervised Similarity Measures. SWQD 2024: 21-37 - [i14]Jorge Martinez-Gil:
Source Code Clone Detection Using Unsupervised Similarity Measures. CoRR abs/2401.09885 (2024) - [i13]Jorge Martinez-Gil:
Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity Measures. CoRR abs/2405.02095 (2024) - [i12]Lolitta Ammann, Jorge Martinez-Gil, Michael Mayr, Georgios C. Chasparis:
Automated Knowledge Graph Learning in Industrial Processes. CoRR abs/2407.02106 (2024) - [i11]Jorge Martinez-Gil:
Improving Source Code Similarity Detection Through GraphCodeBERT and Integration of Additional Features. CoRR abs/2408.08903 (2024) - [i10]Jorge Martinez-Gil:
Augmenting the Interpretability of GraphCodeBERT for Code Similarity Tasks. CoRR abs/2410.05275 (2024) - 2023
- [j36]Jorge Martinez-Gil:
A survey on legal question-answering systems. Comput. Sci. Rev. 48: 100552 (2023) - [j35]Jorge Martinez-Gil, Riad Mokadem, Josef Küng, Abdelkader Hameurlain:
Neurofuzzy semantic similarity measurement. Data Knowl. Eng. 145: 102155 (2023) - [j34]Jorge Martinez-Gil:
A Comparative Study of Ensemble Techniques Based on Genetic Programming: A Case Study in Semantic Similarity Assessment. Int. J. Softw. Eng. Knowl. Eng. 33(2): 289-312 (2023) - [j33]Jorge Martinez-Gil, José Manuel Chaves-González:
Transfer learning for semantic similarity measures based on symbolic regression. J. Intell. Fuzzy Syst. 45(1): 37-49 (2023) - [i9]Jorge Martinez-Gil:
Optimizing Readability Using Genetic Algorithms. CoRR abs/2301.00374 (2023) - [i8]Jorge Martinez-Gil:
Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation. CoRR abs/2305.03520 (2023) - [i7]Jorge Martinez-Gil:
Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution. CoRR abs/2307.00925 (2023) - [i6]Jorge Martinez-Gil:
Framework to Automatically Determine the Quality of Open Data Catalogs. CoRR abs/2307.15464 (2023) - 2022
- [j32]Jorge Martinez-Gil, José Manuel Chaves-González:
Interpretable ontology meta-matching in the biomedical domain using Mamdani fuzzy inference. Expert Syst. Appl. 188: 116025 (2022) - [j31]Mehwish Alam, Anna Fensel, Jorge Martinez-Gil, Bernhard Moser, Diego Reforgiato Recupero, Harald Sack:
Special Issue on Machine Learning and Knowledge Graphs. Future Gener. Comput. Syst. 129: 50-53 (2022) - [j30]Riad Mokadem, Jorge Martinez-Gil, Abdelkader Hameurlain, Josef Küng:
A review on data replication strategies in cloud systems. Int. J. Grid Util. Comput. 13(4): 347-362 (2022) - [j29]Heitor Werneck, Nícollas Silva, Adriano C. M. Pereira, Matheus Carvalho Viana, Alejandro Bellogín, Jorge Martinez-Gil, Fernando Mourão, Leonardo Rocha:
A reproducible POI recommendation framework: Works mapping and benchmark evaluation. Inf. Syst. 108: 102019 (2022) - [j28]Jorge Martinez-Gil, José Manuel Chaves-González:
Sustainable semantic similarity assessment. J. Intell. Fuzzy Syst. 43(5): 6163-6174 (2022) - [j27]Jorge Martinez-Gil, Mario Pichler, Gianluca Lentini, Valerio Mazzeschi, Guillaume Doukhan, Claire Belet:
A Digital Platform to Facilitate the Resilience of Rural Territories. J. Inf. Knowl. Manag. 21(3): 2250043:1-2250043:19 (2022) - [j26]Jorge Martinez-Gil, Riad Mokadem, Franck Morvan, Josef Küng, Abdelkader Hameurlain:
Interpretable entity meta-alignment in knowledge graphs using penalized regression: a case study in the biomedical domain. Prog. Artif. Intell. 11(1): 93-104 (2022) - [j25]Jorge Martinez-Gil, Shaoyi Yin, Josef Küng, Franck Morvan:
Matching Large Biomedical Ontologies Using Symbolic Regression Using Symbolic Regression. J. Data Intell. 3(3): 316-332 (2022) - [j24]Jorge Martinez-Gil, Shaoyi Yin, Josef Küng, Franck Morvan:
Knowledge Graph Augmentation for Increased Question Answering Accuracy. Trans. Large Scale Data Knowl. Centered Syst. 52: 70-85 (2022) - [c38]Damien T. Wojtowicz, Shaoyi Yin, Jorge Martinez-Gil, Franck Morvan, Abdelkader Hameurlain:
Multi-Cloud Query Optimisation with Accurate and Efficient Quoting. IEEE Big Data 2022: 228-233 - [c37]Bernhard Freudenthaler, Jorge Martinez-Gil, Anna Fensel, Kai Höfig, Stefan Huber, Dirk Jacob:
KI-Net: AI-Based Optimization in Industrial Manufacturing - A Project Overview. EUROCAST 2022: 554-561 - [c36]Tek Raj Chhetri, Sareh Aghaei, Anna Fensel, Ulrich Göhner, Sebnem Gül-Ficici, Jorge Martinez-Gil:
Optimising Manufacturing Process with Bayesian Structure Learning and Knowledge Graphs. EUROCAST 2022: 594-602 - [c35]Jose Illescas, Georg Buchgeher, Lisa Ehrlinger, David Gabauer, Jorge Martinez-Gil:
Representing Technical Standards as Knowledge Graph to Guide the Design of Industrial Systems. EUROCAST 2022: 603-610 - [e4]Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Alfred Taudes, Atif Mashkoor, Johannes Sametinger, Jorge Martinez-Gil, Florian Sobieczky, Lukas Fischer, Rudolf Ramler, Maqbool Khan, Gerald Czech:
Database and Expert Systems Applications - DEXA 2022 Workshops - 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings. Communications in Computer and Information Science 1633, Springer 2022, ISBN 978-3-031-14342-7 [contents] - 2021
- [j23]Georg Buchgeher, David Gabauer, Jorge Martinez-Gil, Lisa Ehrlinger:
Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review. IEEE Access 9: 55537-55554 (2021) - [j22]Jorge Martinez-Gil, José Manuel Chaves-González:
Semantic similarity controllers: On the trade-off between accuracy and interpretability. Knowl. Based Syst. 234: 107609 (2021) - [c34]Jorge Martinez-Gil, Riad Mokadem, Josef Küng, Abdelkader Hameurlain:
A Novel Neurofuzzy Approach for Semantic Similarity Measurement. DaWaK 2021: 192-203 - [c33]Salma Mahmoud, Jorge Martinez-Gil, Patrick Praher, Bernhard Freudenthaler, Alexander Girkinger:
Deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends. DEXA Workshops 2021: 184-191 - [c32]Marco Kainzner, Christoph Klösch, Dominik Filipiak, Tek Raj Chhetri, Anna Fensel, Jorge Martinez-Gil:
Towards Reusable Ontology Alignment for Manufacturing Maintenance. SEMANTiCS (Posters & Demos) 2021 - [c31]Jorge Martinez-Gil, Shaoyi Yin, Josef Küng, Franck Morvan:
Matching Large Biomedical Ontologies Using Symbolic Regression. iiWAS 2021: 162-167 - [c30]Bernhard Heinzl, Jorge Martinez-Gil, Johannes Himmelbauer, Michael Rossbory, Christian Hinterdorfer, Christian Hinterreiter:
Indirect Mass Flow Estimation based on Power Measurements of Conveyor Belts in Mineral Processing Applications. INDIN 2021: 1-6 - [c29]Jorge Martinez-Gil, Georg Buchgeher, David Gabauer, Bernhard Freudenthaler, Dominik Filipiak, Anna Fensel:
Root Cause Analysis in the Industrial Domain using Knowledge Graphs: A Case Study on Power Transformers. ISM 2021: 944-953 - [e3]Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Anna Fensel, Jorge Martinez-Gil, Lukas Fischer, Gerald Czech, Florian Sobieczky, Sohail Khan:
Database and Expert Systems Applications - DEXA 2021 Workshops - BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event, September 27-30, 2021, Proceedings. Communications in Computer and Information Science 1479, Springer 2021, ISBN 978-3-030-87100-0 [contents] - [i5]Jorge Martinez-Gil:
A Survey on Legal Question Answering Systems. CoRR abs/2110.07333 (2021) - 2020
- [j21]Jorge Martinez-Gil, José Manuel Chaves-González:
A novel method based on symbolic regression for interpretable semantic similarity measurement. Expert Syst. Appl. 160: 113663 (2020) - [j20]Jorge Martinez-Gil, Alejandra Lorena Paoletti, Mario Pichler:
A Novel Approach for Learning How to Automatically Match Job Offers and Candidate Profiles. Inf. Syst. Frontiers 22(6): 1265-1274 (2020) - [c28]Jorge Martinez-Gil, Mario Pichler, Muhamed Turkanovic, Tina Beranic, Mitja Gradisnik, Gianluca Lentini, Alessandro Lué, Alberto Colorni Vitale, Guillaume Doukhan, Claire Belet:
Framework for Data Analysis in the Context of the Smart Villages. EGOVIS 2020: 31-45 - [c27]Salma Mahmoud, Florian Sobieczky, Jorge Martinez-Gil, Patrick Praher, Bernhard Freudenthaler:
Decay-parameter Diagnosis in Industrial Domains by Robustness through Isotonic Regression. ISM 2020: 466-475 - [e2]Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Lukas Fischer, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Anna Fensel, Jorge Martinez-Gil:
Database and Expert Systems Applications - DEXA 2020 International Workshops BIOKDD, IWCFS and MLKgraphs, Bratislava, Slovakia, September 14-17, 2020, Proceedings. Communications in Computer and Information Science 1285, Springer 2020, ISBN 978-3-030-59027-7 [contents] - [i4]Georg Buchgeher, David Gabauer, Jorge Martinez-Gil, Lisa Ehrlinger:
Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review. CoRR abs/2012.09049 (2020)
2010 – 2019
- 2019
- [j19]Jorge Martinez-Gil, José Manuel Chaves-González:
Automatic design of semantic similarity controllers based on fuzzy logics. Expert Syst. Appl. 131: 45-59 (2019) - [j18]Jorge Martinez-Gil:
Semantic similarity aggregators for very short textual expressions: a case study on landmarks and points of interest. J. Intell. Inf. Syst. 53(2): 361-380 (2019) - [j17]Jorge Martinez-Gil, Bernhard Freudenthaler, A Min Tjoa:
A General Framework for Multiple Choice Question Answering Based on Mutual Information and Reinforced Co-occurrence. Trans. Large Scale Data Knowl. Centered Syst. 42: 91-110 (2019) - [c26]Jorge Martinez-Gil, Reinhard Stumptner, Christian Lettner, Mario Pichler, Werner Fragner:
Design and Implementation of a Graph-Based Solution for Tracking Manufacturing Products. ADBIS (Short Papers and Workshops) 2019: 417-423 - [c25]Jorge Martinez-Gil, Mario Pichler, Tina Beranic, Lucija Brezocnik, Muhamed Turkanovic, Gianluca Lentini, Francesca Polettini, Alessandro Lué, Alberto Colorni Vitale, Guillaume Doukhan, Claire Belet:
Framework for Assessing the Smartness Maturity Level of Villages. ADBIS (Short Papers and Workshops) 2019: 501-512 - [c24]Jorge Martinez-Gil, Bernhard Freudenthaler, A Min Tjoa:
Multiple Choice Question Answering in the Legal Domain Using Reinforced Co-occurrence. DEXA (1) 2019: 138-148 - [c23]Johannes Himmelbauer, Jorge Martinez-Gil, Michael Ksen, Katharina Linner, Sieglinde Plakolm:
Towards a Data-Driven Approach for Fraud Detection in the Social Insurance Field: A Case Study in Upper Austria. EGOVIS 2019: 70-84 - [c22]Jorge Martinez-Gil, Bernhard Freudenthaler:
Optimal Selection of Training Courses for Unemployed People based on Stable Marriage Model. iiWAS 2019: 260-266 - [c21]Jorge Martinez-Gil, Reinhard Stumptner, Christian Lettner, Mario Pichler, Salma Mahmoud, Patrick Praher, Bernhard Freudenthaler:
General Model for Tracking Manufacturing Products Using Graph Databases. SIMPDA 2019: 86-100 - [e1]Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, Mourad Elloumi, Atif Mashkoor, Johannes Sametinger, Xabier Larrucea, Anna Fensel, Jorge Martinez-Gil, Bernhard Moser, Christin Seifert, Benno Stein, Michael Granitzer:
Database and Expert Systems Applications - DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26-29, 2019, Proceedings. Communications in Computer and Information Science 1062, Springer 2019, ISBN 978-3-030-27683-6 [contents] - 2018
- [j16]Jorge Martinez-Gil, Alejandra Lorena Paoletti, Gábor Rácz, Attila Sali, Klaus-Dieter Schewe:
Accurate and efficient profile matching in knowledge bases. Data Knowl. Eng. 117: 195-215 (2018) - [j15]Jorge Martinez-Gil, Bernhard Freudenthaler, Thomas Natschläger:
Automatic recommendation of prognosis measures for mechanical components based on massive text mining. Int. J. Web Inf. Syst. 14(4): 480-494 (2018) - [c20]Jorge Martinez-Gil, Bernhard Freudenthaler, Thomas Natschläger:
Recommendation of Job Offers Using Random Forests and Support Vector Machines. EDBT/ICDT Workshops 2018: 22-27 - 2017
- [c19]Jorge Martinez-Gil, Bernhard Freudenthaler, Thomas Natschläger:
Automatic recommendation of prognosis measures for mechanical components based on massive text mining. iiWAS 2017: 32-39 - [c18]Andreea Buga, Bernhard Freudenthaler, Jorge Martinez-Gil, Sorana Tania Nemes, Alejandra Lorena Paoletti:
Management of accurate profile matching using multi-cloud service interaction. iiWAS 2017: 161-165 - [i3]Jorge Martinez-Gil, Alejandra Lorena Paoletti, Gábor Rácz, Attila Sali, Klaus-Dieter Schewe:
Accurate and Efficient Profile Matching in Knowledge Bases. CoRR abs/1706.06944 (2017) - 2016
- [j14]Jorge Martinez-Gil:
CoTO: A novel approach for fuzzy aggregation of semantic similarity measures. Cogn. Syst. Res. 40: 8-17 (2016) - [j13]Jorge Martinez-Gil:
Accurate Semantic Similarity Measurement of Biomedical Nomenclature by Means of Fuzzy Logic. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 24(2): 291-306 (2016) - [c17]Jorge Martinez-Gil, Alejandra Lorena Paoletti, Klaus-Dieter Schewe:
A Smart Approach for Matching, Learning and Querying Information from the Human Resources Domain. ADBIS (Short Papers and Workshops) 2016: 157-167 - [c16]Alejandra Lorena Paoletti, Jorge Martinez-Gil, Klaus-Dieter Schewe:
Top-k Matching Queries for Filter-Based Profile Matching in Knowledge Bases. DEXA (2) 2016: 295-302 - [c15]Jorge Martinez-Gil, Mario Pichler, Alejandra Lorena Paoletti:
Looking for the Best Historical Window for Assessing Semantic Similarity Using Human Literature. EDBT/ICDT Workshops 2016 - [c14]Jorge Martinez-Gil, Alejandra Lorena Paoletti, Gábor Rácz, Attila Sali, Klaus-Dieter Schewe:
Maintenance of Profile Matchings in Knowledge Bases. MEDI 2016: 132-141 - [i2]Jorge Martinez-Gil:
SIFT: An Algorithm for Extracting Structural Information From Taxonomies. CoRR abs/1602.07064 (2016) - [i1]Jorge Martinez-Gil, Alejandra Lorena Paoletti, Mario Pichler:
A Novel Approach for Learning How to Automatically Match Job Offers and Candidate Profiles. CoRR abs/1611.04931 (2016) - 2015
- [j12]Jorge Martinez-Gil:
Automated knowledge base management: A survey. Comput. Sci. Rev. 18: 1-9 (2015) - [c13]Alejandra Lorena Paoletti, Jorge Martinez-Gil, Klaus-Dieter Schewe:
Extending Knowledge-Based Profile Matching in the Human Resources Domain. DEXA (2) 2015: 21-35 - [c12]Jorge Martinez-Gil, Georgios C. Chasparis, Andreas Bögl, Christa Illibauer, Bernhard Freudenthaler, Thomas Natschläger:
Framework for Fast Prototyping of Energy-Saving Controllers. DEXA Workshops 2015: 68-72 - 2014
- [j11]Jorge Martinez-Gil:
An overview of textual semantic similarity measures based on web intelligence. Artif. Intell. Rev. 42(4): 935-943 (2014) - [j10]Jorge Martinez-Gil:
An Overview of Knowledge Management Techniques for e-Recruitment. J. Inf. Knowl. Manag. 13(2) (2014) - [c11]Jorge Martinez-Gil, Georgios C. Chasparis, Bernhard Freudenthaler, Thomas Natschläger:
Realistic User Behavior Modeling for Energy Saving in Residential Buildings. DEXA Workshops 2014: 121-125 - [c10]Jorge Martinez-Gil, Mario Pichler:
Analysis of word co-occurrence in human literature for supporting semantic correspondence discovery. I-KNOW 2014: 1:1-1:7 - 2013
- [j9]Jorge Martinez-Gil, José Francisco Aldana-Montes:
Semantic similarity measurement using historical google search patterns. Inf. Syst. Frontiers 15(3): 399-410 (2013) - [j8]José Manuel Chaves-González, Jorge Martinez-Gil:
Evolutionary algorithm based on different semantic similarity functions for synonym recognition in the biomedical domain. Knowl. Based Syst. 37: 62-69 (2013) - [c9]Jorge Martinez-Gil, Bernhard Freudenthaler, Thomas Natschläger:
Modeling User Behavior through Electricity Consumption Patterns. DEXA Workshops 2013: 204-208 - 2012
- [j7]Jorge Martinez-Gil, José Francisco Aldana-Montes:
KnoE: A Web Mining Tool to Validate Previously Discovered Semantic Correspondences. J. Comput. Sci. Technol. 27(6): 1222-1232 (2012) - [j6]Jorge Martinez-Gil, Ismael Navas-Delgado, José Francisco Aldana-Montes:
MaF: An Ontology Matching Framework. J. Univers. Comput. Sci. 18(2): 194-217 (2012) - [j5]Jorge Martinez-Gil, José Francisco Aldana-Montes:
An overview of current ontology meta-matching solutions. Knowl. Eng. Rev. 27(4): 393-412 (2012) - [j4]Jorge Martinez-Gil, José Francisco Aldana-Montes:
Smart Combination of Web Measures for Solving Semantic Similarity Problems. Online Inf. Rev. 36(5): 724-738 (2012) - [c8]Chrysostomos Tsoukalas, Dimitrios Dervos, Jorge Martinez-Gil, José Francisco Aldana-Montes:
TheMa: An API for Mining Linked Datasets. Panhellenic Conference on Informatics 2012: 449-453 - 2011
- [j3]Jorge Martinez-Gil, José Francisco Aldana-Montes:
Evaluation of two heuristic approaches to solve the ontology meta-matching problem. Knowl. Inf. Syst. 26(2): 225-247 (2011) - 2010
- [j2]Jorge Martinez-Gil, José Francisco Aldana-Montes:
Reverse ontology matching. SIGMOD Rec. 39(4): 5-11 (2010) - [c7]Jorge Martinez-Gil, Enrique Alba, José Francisco Aldana-Montes:
Statistical Study about Existing OWL Ontologies from a Significant Sample as Previous Step for their Alignment. CISIS 2010: 980-985 - [c6]Jorge Martinez-Gil, José Francisco Aldana-Montes:
Evaluation of two heuristic approaches to solve the ontology meta-matching problem. JISBD 2010: 219-219
2000 – 2009
- 2009
- [c5]Antonio J. Roa-Valverde, Jorge Martinez-Gil, José Francisco Aldana-Montes:
Boosting Annotated Web Services in SAWSDL. IWANN (2) 2009: 67-74 - [c4]David Urdiales-Nieto, Jorge Martinez-Gil, José Francisco Aldana-Montes:
MaSiMe: A Customized Similarity Measure and Its Application for Tag Cloud Refactoring. OTM Workshops 2009: 937-946 - 2008
- [c3]Jorge Martinez-Gil, Ismael Navas-Delgado, Antonio Polo Márquez, José Francisco Aldana-Montes:
Comparison of Textual Renderings of Ontologies for Improving Their Alignment. CISIS 2008: 871-876 - [c2]Jorge Martinez-Gil, Enrique Alba, José Francisco Aldana-Montes:
Optimizing Ontology Alignments by Using Genetic Algorithms. NatuReS 2008 - 2007
- [j1]Jorge Martinez-Gil:
Thinking on the Web: Berners-Lee, Gödel and Turing. Comput. J. 50(3): 371-372 (2007) - [c1]Luis Arévalo Rosado, Antonio Polo Márquez, Jorge Martinez-Gil:
Managing Branch Versioning in Versioned/Temporal XML Documents. XSym 2007: 107-121
Coauthor Index
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