A Semantic Technologies Toolkit for Bridging Early Diagnosis and Treatment in Brain Diseases: Report from the Ongoing EU-Funded Research Project ALAMEDA

Christoniki Maga-Nteve, Efstratios Kontopoulos, Nikos Tsolakis, Ioannis Katakis, Evangelos Mathioudis, Panagiotis Mitzias, Konstantinos Avgerinakis, Georgios Meditskos, Anastasios Karakostas, Stefanos Vrochidis, Ioannis Kompatsiaris

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Semantic Web technologies are increasingly being deployed in various e-health scenarios, prominently due to their inherent capacity to harmonize heterogeneous information from diverse sources and devices, as well as their capability to provide meaningful interpretations and higher-level insights. This paper reports on ongoing work in the recently started EU-funded project ALAMEDA towards a semantic toolkit for bridging the gap between early diagnosis and treatment in a variety of brain diseases. The toolkit comprises (a) a semantic model serving as the underlying knowledge base for the toolkit; (b) a flexible semantic data integration framework; (c) a semantics-enabled conversational agent for interacting with human users and other components of the ALAMEDA system.

Original languageEnglish
Title of host publicationMetadata and Semantic Research - 15th International Conference, MTSR 2021, Revised Selected Papers
EditorsEmmanouel Garoufallou, María-Antonia Ovalle-Perandones, Andreas Vlachidis
PublisherSpringer Science and Business Media Deutschland GmbH
Pages349-354
Number of pages6
ISBN (Print)9783030988753
DOIs
Publication statusPublished - 2022
Event15th International Conference on Metadata and Semantics Research, MTSR 2021 - Virtual, Online
Duration: 29 Nov 20213 Dec 2021

Publication series

NameCommunications in Computer and Information Science
Volume1537 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference15th International Conference on Metadata and Semantics Research, MTSR 2021
CityVirtual, Online
Period29/11/213/12/21

Keywords

  • Brain disease
  • Conversational agent
  • e-health
  • Ontologies
  • Semantic data integration

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