Integration and analysis of heterogeneous big data for precision medicine and suggested treatments for different types of patients

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Dissemination & Communication Report V2.0

Final version of the report on accomplished dissemination activities and planned activities.

Training Activities Report

Reporting on accomplished training activities.

IASIS Conceptual Schema and Integration Rules v2.0

The final version of the IASIS conceptual schema and the integration rules will be reported in this deliverable.

Interoperability analysis of biomedical data

This deliverable will report the interoperability analysis results.

Dissemination & Communication Report V1.0

Reporting on accomplished dissemination activities and planned activities for the first reporting period.

Data Management Plan

This deliverable will outline the different data management services to be implemented by the project.

Definition of System Architecture

This is the deliverable that will detail the design of the system architecture including the user interfaces and technical specifications.

Communication Plan

Document describing the overall strategy for dissemination and communications during the project.

IASIS Conceptual Schema and Integration Rules v1.0

The first version of the IASIS conceptual schema and the integration rules will be reported in this deliverable.

Initial Platform Prototype

This deliverable will be the first prototype of the IASIS platform.

Clinical notes & image analysis v1.0

This deliverable will contain the first prototypes of the text and image analysis components.

Predictive modelling v2.0

This deliverable will contain the first prototype of the predictive modelling module.

Harvesting services for open data v2.0

This deliverable will contain the final version of data harvesting module that will fetch the open data.

Predictive modelling v1.0

This deliverable will contain the first prototype of the predictive modelling module.

EHR semantic indexing v2.0

This deliverable will contain the final version of the semantic indexing module and indexed EHR.

High-Level Analysis Services v2.0

This deliverable will include the final prototype of the high-level analysis services developed in task T5.6.

Genomic semantic indexing v1.0

This deliverable will contain the first version of semantic indexing module and indexed genomic data.

Harvesting services for clinical data v2.0

This deliverable will contain the final version of the data harvesting components that will fetch the EHR data.

EHR semantic indexing v1.0

This deliverable will contain the first version of the semantic indexing module and indexed EHR.

Open data semantic indexing v1.0

This deliverable will contain the first version of semantic indexing module and the indexed open data.

Genomic semantic indexing v2.0

This deliverable will contain the final version of semantic indexing module and indexed genomic data.

Genomic data analysis v1.0

This deliverable will contain the first version of the genomic analysis module.

Clinical notes & image analysis v2.0

This deliverable will contain the final prototypes of the text and image analysis components.

Open data semantic indexing v2.0

This deliverable will contain the final version of semantic indexing module and the indexed open data.

Data Management Services

In this deliverable, the prototype of the data management services will be made available.

Final Platform Prototype

This deliverable will be the final prototype of the IASIS platform.

Genomic data analysis v2.0

This deliverable will contain the final version of the genomic analysis module.

Harvesting services for genomic data v1.0

This deliverable will contain the first version of data harvesting component that will fetch the genomic data.

Open data analysis v1.0

This deliverable will contain the first version of the open data analysis module.

Open data analysis v2.0

This deliverable will contain the final version of the open data analysis module.

High-Level Analysis Services v1.0

This deliverable will include the first prototype of the high-level analysis services developed in task T5.6.

Harvesting services for genomic data v2.0

This deliverable will contain the final version of data harvesting component that will fetch the genomic data.

Harvesting services for open data v1.0

This deliverable will contain the first version of data harvesting module that will fetch the open data.

Project Website

Project website for the public, scientists, and with a private area for document sharing.

Pubblicazioni

DISNET: a framework for extracting phenotypic disease information from public sources

Autori: Gerardo Lagunes-García, Alejandro Rodríguez-González, Lucía Prieto-Santamaría, Eduardo P. García del Valle, Massimiliano Zanin, Ernestina Menasalvas-Ruiz
Pubblicato in: PeerJ, Numero 8, 2020, Pagina/e e8580, ISSN 2167-8359
Editore: PeerJ
DOI: 10.7717/peerj.8580

RNAct: Protein–RNA interaction predictions for model organisms with supporting experimental data

Autori: Benjamin Lang, Alexandros Armaos, Gian G Tartaglia
Pubblicato in: Nucleic Acids Research, Numero 47/D1, 2018, Pagina/e D601-D606, ISSN 0305-1048
Editore: Oxford University Press
DOI: 10.1093/nar/gky967

Compacting frequent star patterns in RDF graphs

Autori: Farah Karim, Maria-Esther Vidal, Sören Auer
Pubblicato in: Journal of Intelligent Information Systems, 2020, ISSN 0925-9902
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10844-020-00595-9

Transforming Heterogeneous Data into Knowledge for Personalized Treatments—A Use Case

Autori: Maria-Esther Vidal, Kemele M. Endris, Samaneh Jazashoori, Ahmad Sakor, Ariam Rivas
Pubblicato in: Datenbank-Spektrum, Numero 19/2, 2019, Pagina/e 95-106, ISSN 1618-2162
Editore: Springer
DOI: 10.1007/s13222-019-00312-z

SEOM clinical guidelines for the treatment of small-cell lung cancer (SCLC) (2019)

Autori: M. Dómine, T. Moran, D. Isla, J. L. Martí, I. Sullivan, M. Provencio, M. E. Olmedo, S. Ponce, A. Blasco, M. Cobo
Pubblicato in: Clinical and Translational Oncology, Numero 22/2, 2020, Pagina/e 245-255, ISSN 1699-048X
Editore: Doyma
DOI: 10.1007/s12094-020-02295-w

Profiling Lung Cancer Patients Using Electronic Health Records

Autori: Ernestina Menasalvas Ruiz, Juan Manuel Tuñas, Guzmán Bermejo, Consuelo Gonzalo Martín, Alejandro Rodríguez-González, Massimiliano Zanin, Cristina González de Pedro, Marta Méndez, Olga Zaretskaia, Jesús Rey, Consuelo Parejo, Juan Luis Cruz Bermudez, Mariano Provencio
Pubblicato in: Journal of Medical Systems, Numero 42/7, 2018, ISSN 0148-5598
Editore: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10916-018-0975-9

Supervoxels-Based Histon as a New Alzheimer’s Disease Imaging Biomarker

Autori: César Toro, Consuelo Gonzalo-Martín, Angel García-Pedrero, Ernestina Menasalvas Ruiz
Pubblicato in: Sensors, Numero 18/6, 2018, Pagina/e 1752, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s18061752

Towards a Multi-way Similarity Join Operator

Autori: Mikhail Galkin, Maria-Esther Vidal, Sören Auer
Pubblicato in: New Trends in Databases and Information Systems, Numero 767, 2017, Pagina/e 267-274, ISBN 978-3-319-67161-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-67162-8_26

PURE: A Privacy Aware Rule-Based Framework over Knowledge Graphs

Autori: Marlene Goncalves, Maria-Esther Vidal, Kemele M. Endris
Pubblicato in: Database and Expert Systems Applications - 30th International Conference, DEXA 2019, Linz, Austria, August 26–29, 2019, Proceedings, Part I, Numero 11706, 2019, Pagina/e 205-214, ISBN 978-3-030-27614-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-27615-7_15

SJoin: A Semantic Join Operator to Integrate Heterogeneous RDF Graphs

Autori: Mikhail Galkin, Diego Collarana, Ignacio Traverso-Ribón, Maria-Esther Vidal, Sören Auer
Pubblicato in: Database and Expert Systems Applications, Numero 10438, 2017, Pagina/e 206-221, ISBN 978-3-319-64467-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-64468-4_16

A Knowledge-Driven Pipeline for Transforming Big Data into Actionable Knowledge

Autori: Maria-Esther Vidal, Kemele M. Endris, Samaneh Jozashoori, Guillermo Palma
Pubblicato in: Data Integration in the Life Sciences - 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings, Numero 11371, 2019, Pagina/e 44-49, ISBN 978-3-030-06015-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-06016-9_4

Querying Interlinked Data by Bridging RDF Molecule Templates

Autori: Kemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal, Sören Auer
Pubblicato in: Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX - Special Numero on Database- and Expert-Systems Applications, Numero 11310, 2018, Pagina/e 1-42, ISBN 978-3-662-58414-9
Editore: Springer Berlin Heidelberg
DOI: 10.1007/978-3-662-58415-6_1

MateTee: A Semantic Similarity Metric Based on Translation Embeddings for Knowledge Graphs

Autori: Camilo Morales, Diego Collarana, Maria-Esther Vidal, Sören Auer
Pubblicato in: Web Engineering, Numero 10360, 2017, Pagina/e 246-263, ISBN 978-3-319-60130-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-60131-1_14

MULDER: Querying the Linked Data Web by Bridging RDF Molecule Templates

Autori: Kemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal, Sören Auer
Pubblicato in: Database and Expert Systems Applications, Numero 10438, 2017, Pagina/e 3-18, ISBN 978-3-319-64467-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-64468-4_1

COMET: A Contextualized Molecule-Based Matching Technique

Autori: Mayesha Tasnim, Diego Collarana, Damien Graux, Mikhail Galkin, Maria-Esther Vidal
Pubblicato in: Database and Expert Systems Applications - 30th International Conference, DEXA 2019, Linz, Austria, August 26–29, 2019, Proceedings, Part I, Numero 11706, 2019, Pagina/e 175-185, ISBN 978-3-030-27614-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-27615-7_13

What Are the Parameters that Affect the Construction of a Knowledge Graph?

Autori: David Chaves-Fraga, Kemele M. Endris, Enrique Iglesias, Oscar Corcho, Maria-Esther Vidal
Pubblicato in: On the Move to Meaningful Internet Systems: OTM 2019 Conferences - Confederated International Conferences: CoopIS, ODBASE, C&TC 2019, Rhodes, Greece, October 21–25, 2019, Proceedings, Numero 11877, 2019, Pagina/e 695-713, ISBN 978-3-030-33245-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-33246-4_43

Lung Cancer Concept Annotation from Spanish Clinical Narratives

Autori: Marjan Najafabadipour, Juan Manuel Tuñas, Alejandro Rodríguez-González, Ernestina Menasalvas
Pubblicato in: Data Integration in the Life Sciences - 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings, Numero 11371, 2019, Pagina/e 153-163, ISBN 978-3-030-06015-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-06016-9_15

Ontario: Federated Query Processing Against a Semantic Data Lake

Autori: Kemele M. Endris, Philipp D. Rohde, Maria-Esther Vidal, Sören Auer
Pubblicato in: Database and Expert Systems Applications - 30th International Conference, DEXA 2019, Linz, Austria, August 26–29, 2019, Proceedings, Part I, Numero 11706, 2019, Pagina/e 379-395, ISBN 978-3-030-27614-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-27615-7_29

MapSDI: A Scaled-Up Semantic Data Integration Framework for Knowledge Graph Creation

Autori: Samaneh Jozashoori, Maria-Esther Vidal
Pubblicato in: On the Move to Meaningful Internet Systems: OTM 2019 Conferences - Confederated International Conferences: CoopIS, ODBASE, C&TC 2019, Rhodes, Greece, October 21–25, 2019, Proceedings, Numero 11877, 2019, Pagina/e 58-75, ISBN 978-3-030-33245-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-33246-4_4

Interaction Network Analysis Using Semantic Similarity Based on Translation Embeddings

Autori: Awais Manzoor Bajwa, Diego Collarana, Maria-Esther Vidal
Pubblicato in: Semantic Systems. The Power of AI and Knowledge Graphs - 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9–12, 2019, Proceedings, Numero 11702, 2019, Pagina/e 249-255, ISBN 978-3-030-33219-8
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-33220-4_18

Semantic Data Integration of Big Biomedical Data for Supporting Personalised Medicine

Autori: Maria-Esther Vidal, Kemele M. Endris, Samaneh Jozashoori, Farah Karim, Guillermo Palma
Pubblicato in: Current Trends in Semantic Web Technologies: Theory and Practice, Numero 815, 2019, Pagina/e 25-56, ISBN 978-3-030-06148-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-06149-4_2

When humans and machines collaborate - cross-lingual label editing in wikidata

Autori: Lucie-Aimée Kaffee, Kemele M. Endris, Elena Simperl
Pubblicato in: Proceedings of the 15th International Symposium on Open Collaboration, 2019, Pagina/e 1-9, ISBN 9781450363198
Editore: ACM
DOI: 10.1145/3306446.3340826

Wikipedia Disease Articles: An Analysis of their Content and Evolution

Autori: García, Gerardo Lagunes; Santamaría, Lucia Prieto; Valle, Eduardo P. García Del; Zanin, Massimiliano; Ruiz, Ernestina Menasalvas; González, Alejandro Rodríguez
Pubblicato in: CBMS, Numero 4, 2018
Editore: ACM
DOI: 10.5281/zenodo.1469699

A data-driven approach for analyzing healthcare services extracted from clinical records

Autori: Scurti, Manuel; Ruiz, Ernestina Menasalvas; Serodio, Maria Esther Vidal; Torrente, Maria; Vogiatzis, Dimitrios; Paliouras, George; Provencio, Mariano; González, Alejandro Rodríguez
Pubblicato in: Numero 3, 2020
Editore: Zenodo
DOI: 10.5281/zenodo.3862244

Capturing Knowledge in Semantically-typed Relational Patterns to Enhance Relation Linking

Autori: Kuldeep Singh, Isaiah Onando Mulang', Ioanna Lytra, Mohamad Yaser Jaradeh, Ahmad Sakor, Maria-Esther Vidal, Christoph Lange, Sören Auer
Pubblicato in: Proceedings of the Knowledge Capture Conference on - K-CAP 2017, 2017, Pagina/e 1-8, ISBN 9781450355537
Editore: ACM Press
DOI: 10.1145/3148011.3148031

IASIS and BigMedilytics: Towards personalized medicine in Europe

Autori: Ruiz, Ernestina Menasalvas; Rodríguez-González, Alejandro; Martín, Consuelo Gonzalo; Zanin, Massimiliano; Tuñas, Juan Manuel; Provencio, Mariano; Torrente, Maria; Franco, Fabio; Calvo, Virginia; Nuñez, Beatriz
Pubblicato in: CAEPIA 2018 conference, Numero 2, 2018
Editore: CAEPIA
DOI: 10.5281/zenodo.4008126

Radiomics Textural Features Extracted from Subcortical Structures of Grey Matter Probability for Alzheimers Disease Detection.

Autori: César Antonio Ortiz Toro; Nuria Gutiérrez Sánchez; Consuelo Gonzalo-Martín; Roberto Garrido García; Alejandro Rodriguez González; Ernestina Menasalvas Ruiz
Pubblicato in: CBMS, Numero 2, 2019
Editore: Spain
DOI: 10.5281/zenodo.2650197

Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text

Autori: Ahmad Sakor, Isaiah Onando Mulang’, Kuldeep Singh, Saeedeh Shekarpour, Maria Esther Vidal, Jens Lehmann, Sören Auer
Pubblicato in: Proceedings of the 2019 Conference of the North, 2019, Pagina/e 2336-2346
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/n19-1243

iASiS Open Data Graph: Automated Semantic Integration of Disease-Specific Knowledge

Autori: Nentidis, Anastasios; Bougiatiotis, Konstantinos; Krithara, Anastasia; Paliouras, Georgios
Pubblicato in: Numero 3, 2020
Editore: CBMS
DOI: 10.1109/cbms49503.2020.00049

Ranking Knowledge Graphs By Capturing Knowledge about Languages and Labels

Autori: Lucie-Aimée Kaffee, Kemele M. Endris, Elena Simperl, Maria-Esther Vidal
Pubblicato in: Proceedings of the 10th International Conference on Knowledge Capture, 2019, Pagina/e 21-28, ISBN 9781450370080
Editore: ACM
DOI: 10.1145/3360901.3364443

Summarizing Entity Temporal Evolution in Knowledge Graphs

Autori: Tasnim, Mayesha; Collarana, Diego; Graux, Damien; Orlandi, Fabrizio; Vidal, Maria-Esther
Pubblicato in: New York, NY : ACM Press 961-965 (2019). doi:10.1145/3308560.3316521, Numero 2, 2019
Editore: ACM
DOI: 10.18154/rwth-2019-06971

Semantic Data Integration for Knowledge Graph Construction at Query Time

Autori: Diego Collarana, Mikhail Galkin, Ignacio Traverso-Ribon, Christoph Lange, Maria-Esther Vidal, Soren Auer
Pubblicato in: 2017 IEEE 11th International Conference on Semantic Computing (ICSC), 2017, Pagina/e 109-116, ISBN 978-1-5090-4284-5
Editore: IEEE
DOI: 10.1109/ICSC.2017.85

Unveiling Scholarly Communities over Knowledge Graphs

Autori: Sahar Vahdati, Guillermo Palma, Rahul Jyoti Nath, Christoph Lange, Sören Auer, Maria-Esther Vidal
Pubblicato in: Digital Libraries for Open Knowledge - 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Porto, Portugal, September 10–13, 2018, Proceedings, Numero 11057, 2018, Pagina/e 103-115, ISBN 978-3-030-00065-3
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-00066-0_9

Semantic Data Integration Techniques for Transforming Big Biomedical Data into Actionable Knowledge

Autori: Maria-Esther Vidal, Samaneh Jozashoori, Ahmad Sakor
Pubblicato in: 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 2019, Pagina/e 563-566, ISBN 978-1-7281-2286-1
Editore: IEEE
DOI: 10.1109/cbms.2019.00116

Recognition of Time Expressions in Spanish Electronic Health Records

Autori: Najafabadipour, Marjan; Zanin, Massimiliano; Rodríguez-González, Alejandro; Gonzalo-Martín, Consuelo; Nuñez García, Beatriz; Calvo, Virginia; Luis Cruz Bermudez, Juan; Provencio, Mariano; Menasalvas, Ernestina
Pubblicato in: CBMS, Numero 30, 2019
Editore: CBMS
DOI: 10.5281/zenodo.2871453

iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine

Autori: Anastasia Krithara, Fotis Aisopos, Vassiliki Rentoumi, Anastasios Nentidis, Konstantinos Bougatiotis, Maria-Esther Vidal, Ernestina Menasalvas, Alejandro Rodriguez-Gonzalez, Eleftherios Samaras, Peter Garrard, Maria Torrente, Mariano Provencio Pulla, Nikos Dimakopoulos, Rui Mauricio, Jordi Rambla De Argila, Gian Gaetano Tartaglia, George Paliouras
Pubblicato in: 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 2019, Pagina/e 106-111, ISBN 978-1-7281-2286-1
Editore: IEEE
DOI: 10.1109/cbms.2019.00032

Disease networks and their contribution to disease understanding and drug repurposing. A survey of the state of the art

Autori: García del Valle, Eduardo P.; García, Gerardo Lagunes; Santamaría, Lucía Prieto; Zanin, Massimiliano; Ruiz, Ernestina Menasalvas; Rodríguez-González, Alejandro
Pubblicato in: Numero 1, 2019
Editore: Heidelberg : Springer Verlag
DOI: 10.1101/415257

Drug-Drug Interaction Prediction on a Biomedical Literature Knowledge Graph

Autori: Bougiatiotis, Konstantinos; Aisopos, Fotis; Nentidis, Anastasios; Krithara, Anastasia; Paliouras, Georgios
Pubblicato in: AIME 2020, Numero 2, 2020
Editore: Springer
DOI: 10.5281/zenodo.4006459

Optimizing Federated Queries Based on the Physical Design of a Data Lake

Autori: Rohde, Philipp D.; Vidal, Maria-Esther
Pubblicato in: Workshops of the 23rd International Conference on Extending Database Technology/23rd International Conference on Database Theory, EDBT-ICDT-WS 2020, Numero 2578, 2020, ISSN 1613-0073
Editore: EDBT/ICDT 2020 Joint Conference
DOI: 10.5281/zenodo.4008119

Completing missing MeSH code mappings in UMLS through alternative expert-curated sources

Autori: García del Valle, Eduardo P.; Lagunes García, Gerardo; Prieto Santamaría, Lucia; Zanin, Massimiliano; Rodríguez González, Alejandro; Menasalvas Ruiz, Ernestina
Pubblicato in: CBMS, Numero 12, 2019
Editore: Cold Spring Harbor Laboratory
DOI: 10.1101/602540

Why Reinvent the Wheel- Let's Build Question Answering Systems Together.

Autori: Kuldeep Singh, Arun Sethupat Radhakrishna, Andreas Both, Saeedeh Shekarpour, Ioanna Lytra, Ricardo Usbeck, Akhilesh Vyas, Akmal Khikmatullaev, Dharmen Punjani, Christoph Lange, Maria-Esther Vidal, Jens Lehmann and Sören Auer.
Pubblicato in: 2018
Editore: The Web Conference WWW 2018

ESWC 2018 Project Networking Track Title: iASiS: Big Data for Supporting Precision Medicine and Public Health Policy-Making Description: This extended abstract describes the objectives of the iASiS project, the main characteristics of the iASiS knowledge graph and the components of the iASiS framework. Resources that will be made available to the Semantic Web community are described as well.

Autori: Maria-Esther Vidal
Pubblicato in: 2018
Editore: European Semantic Web Conference

HARE: An Engine for Enhancing Answer Completeness of SPARQL Queries via Crowdsourcing.

Autori: Maribel Acosta, Elena Simperl, Fabian Flöck and Maria Esther Vidal.
Pubblicato in: 2018
Editore: The Web Conference WWW 2018

Automatic Detection of Linguistic indicators as a means of early detection of Alzheimer’s and of related dementias: A Computational Linguistics analysis

Autori: Rentoumi Vassiliki, Dimitra Arfani, Katerina Fragkopoulou, Eva Danasi, Spyridoula Varlokosta, Spyros Papadatos and George Paliouras
Pubblicato in: 2017
Editore: Cognitive Infocommunications (CogInfoCom), 2017 8th IEEE International Conference on Cognitive Infocommunications

Big Data for Supporting Precision Medicine in Lung Cancer Patient.

Autori: Maria Torrente, Fernando FrancoErnestina Mensalvas, , Alejandro Rodriguez-Gonzalez, Virginia Calvo, Maria Auxiliadora Brenes, George Paliouras, Mariano Provencio-Pulla
Pubblicato in: 2018
Editore: American Society of Clinical Oncology

BOUNCER: Privacy-aware Query Processing Over Federations of RDF Dataset Description: This paper describes BOUNCER, a framework for enforcing data privacy and access control regulations. BOUNCER relies on novel query execution strategy to ensure that data access regulations are satisfied during query execution.

Autori: Kemele M. Endris, Zuhair Almhithawi, Ioanna Lytra, Maria-Esther Vidal, Sören Auer
Pubblicato in: 2018
Editore: DEXA 2018 29th International Conference on Database and Expert Systems Applications

Evaluating Wikipedia as a source of information for disease understanding

Autori: Eduardo P. García del Valle, Gerardo Lagunes García, Lucia Prieto Santamaría, Massimiliano Zanin, Alejandro Rodríguez González, Ernestina Menasalvas Ruiz
Pubblicato in: 2018
Editore: 31st IEEE CBMS International Symposium on Computer-Based Medical Systems

AAIC '18 - Alzheimer's Association International Conference iASiS: Big Data for Precision Medicine. Automatic Detection of Linguistic Indicators as a Means of Early Prediction of Alzheimer's and of Related Dementias

Autori: Vassiliki Rentoumi, George Paliouras, Anastasia Krithara, Peter Garrard, and Anastasios Nentidis
Pubblicato in: 2018
Editore: Alzheimer's Association International Conference

EU Project Description - iASiS: Big Data for Supporting Precision Medicine and Public Health Policy-Making

Autori: Maria-Esther Vidal
Pubblicato in: Data Integration in the Life Sciences 2018, 2018
Editore: Data Integration in the Life Sciences 2018

iASiS: Big Data for Supporting Precision Medicine and Public Health Policy-Making

Autori: Anastasia Krithara, George Paliouras, Anna Triantafillou, Maria-Esther Vidal, Soren Auer, Ernestina Menasalvas, Mariano Provencio Pulla, Maria Torrente, Peter Garrard, Alison Evans, Roderic Guigo, Louiqa Raschid
Pubblicato in: 2017
Editore: ESWC2017

Semantic integration of disease-specific knowledge

Autori: Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara and Georgios Paliouras
Pubblicato in: 2018
Editore: 17TH EUROPEAN CONFERENCE ON COMPUTATIONAL BIOLOGY

GARUM: A Semantic Similarity Measure Based on Machine Learning and Entity Characteristics Description: This paper presents GARUM, a semantic similarity measure that resorts to machine learning methods for learning the most suitable characteristics to consider during the computation of the relatedness of two entities. Knowledge graphs are used to represent the entities, and semantics encoded in the

Autori: Ignacio Traverso-Ribon, Maria-Esther Vidal
Pubblicato in: 2018
Editore: DEXA 2018 29th International Conference on Database and Expert Systems Applications

Aristotelieio Glosologia - Automatic extraction of linguistic features in Alzheimer’s disease: A computational linguistics approach

Autori: Rentoumi Vassiliki, Dimitra Arfani, Katerina Fragkopoulou, Spyridoula Varlokosta, and George Paliouras
Pubblicato in: 2018
Editore: 39th Annual Meeting of the Department of Linguistics, School of Philosophy

Synthesizing Knowledge Graphs from web sources with the MINTE+ framework

Autori: Diego Collarana, Michael Galkin, Christoph Lange, Simon Scerri, Sören Auer and Maria-Esther Vidal
Pubblicato in: 2018
Editore: 17th International Semantic Web Conference

Automatic Recording and Analysis of Somniloquy through the use of Mobile Devices to Support the Diagnosis of Psychological Pathologies

Autori: Virginia Aparicio-Paniagua, Jorge Pérez-Muñoz, Alejandro Rodríguez-González, Ángel García-Pedrero, Juan Miguel Gomez-Berbis, Consuelo Gonzalo-Martin, Ernestina Menasalvas-Ruiz, Giner Alor-Hernández
Pubblicato in: Numero 24-27 October 2017, 2017, Pagina/e 169-180
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-67283-0_13

Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature Based on Weak Supervision

Autori: Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras
Pubblicato in: 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 2019, Pagina/e 180-185, ISBN 978-1-7281-2286-1
Editore: IEEE
DOI: 10.1109/cbms.2019.00045

MINTE - semantically integrating RDF graphs

Autori: Diego Collarana, Mikhail Galkin, Ignacio Traverso-Ribón, Maria-Esther Vidal, Christoph Lange, Sören Auer
Pubblicato in: Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017, Pagina/e 1-11, ISBN 9781450352253
Editore: ACM
DOI: 10.1145/3102254.3102280

FedSDM: Semantic Data Manager for Federations of RDF Datasets

Autori: Endris, Kemele M.; Vidal, Maria-Esther; Auer, Sören
Pubblicato in: DILS, Numero 8, 2018
Editore: DILS
DOI: 10.13140/rg.2.2.22850.84160

SMJoin - A Multi-way Join Operator for SPARQL Queries

Autori: Mikhail Galkin, Kemele M. Endris, Maribel Acosta, Diego Collarana, Maria-Esther Vidal, Sören Auer
Pubblicato in: Proceedings of the 13th International Conference on Semantic Systems - Semantics2017, 2017, Pagina/e 104-111, ISBN 9781450352963
Editore: ACM Press
DOI: 10.1145/3132218.3132220

Data Integration for Supporting Biomedical Knowledge Graph Creation at Large-Scale

Autori: Jozashoori, Samaneh; Novikova, Tatiana; Vidal, Maria-Esther
Pubblicato in: Numero 3, 2018
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-06016-9_9

Evaluating Wikipedia as a Source of Information for Disease Understanding

Autori: Eduardo P. Garcia del Valle, Gerardo Lagunes Garcia, Lucia Prieto Santamaria, Massimiliano Zanin, Ernestina Menasalvas Ruiz, Alejandro Rodriguez Gonzalez
Pubblicato in: 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), 2018, Pagina/e 399-404, ISBN 978-1-5386-6060-7
Editore: IEEE
DOI: 10.1109/cbms.2018.00076

Falcon 2.0: An Entity and Relation Linking Tool over Wikidata

Autori: Sakor, Ahmad; Singh, Kuldeep; Patel, Anery; Vidal, Maria-Esther
Pubblicato in: Numero 2, 2019
Editore: Arxiv
DOI: 10.5281/zenodo.4008148

Structural analysis of SARS-CoV-2 and prediction of the human interactome

Autori: Vandelli, Andrea; Monti, Michele; Milanetti, Edoardo; Ponti, Riccardo Delli; Tartaglia, Gian Gaetano
Pubblicato in: Numero 4, 2020
Editore: Biorxiv
DOI: 10.1101/2020.03.28.013789

Spa-neg: an approach for negation detection in clinical text written in Spanish

Autori: , Oswaldo; , Ernestina; , Alejandro
Pubblicato in: Numero 5, 2020
Editore: Zenodo
DOI: 10.5281/zenodo.3625499

Error detection in Knowledge Graphs: Path Ranking, Embeddings or both?

Autori: Fasoulis, R.; Bougiatiotis, K.; Aisopos, F.; Nentidis, A.; Paliouras, G.
Pubblicato in: Numero 3, 2020
Editore: Arxiv
DOI: 10.5281/zenodo.4006124

Reconstructing the Patient's Natural History from Electronic Health Records

Autori: Najafabadipour, Marjan; Zanin, Massimiliano; Rodríguez-González, Alejandro; Torrente, Maria; Nuñez García, Beatriz; Cruz Bermudez, Juan Luis; Provencio, Mariano; Menasalvas, Ernestina
Pubblicato in: Numero 8, 2020
Editore: Zenodo
DOI: 10.5281/zenodo.3765826

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