Special Issue "Semantic Web Technologies for Health Data Management"

A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".

Deadline for manuscript submissions: closed (24 April 2022) | Viewed by 413

Special Issue Editors

Faculty of Information Technology and Communication Sciences (ITC), Tampere University, Kalevantie 4, 33100 Tampere, Finland
Interests: big data management; personalization; recommender systems; entity resolution; data exploration; data analytics; responsible data management
Special Issues, Collections and Topics in MDPI journals
Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH), Science and Technology Park of Crete, N. Plasthra 100, Vassilika Vouton, GR 700 13 Heraklion, Greece
Interests: big data management; semantic interoperability; data series; information integration; AI
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent advancements in healthcare have brought to the foreground the need for flexible access to health-related information and created an ever-growing demand for efficient data management infrastructures. To this direction, many challenges must first be overcome, enabling seamless, effective, and efficient access to several health data sets and novel methods for exploiting the existing information. This Special Issue aims at putting together research in the fields of semantic web, data management, and health informatics to discuss the challenges in healthcare data management and to propose new solutions for the next generation data-driven healthcare systems.

Dr. Kostas Stefanidis
Dr. Haridimos Kondylakis
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Artificial intelligence (AI) and machine learning in health data management
  • Ontologies and data models on the health domain
  • Semantic integration of heterogeneous health data sources
  • Wearable and sensor data integration with health data
  • Web-scale and cloud-based health data management systems
  • NoSQL and graph databases for health data management
  • Semantic search and reasoning over health data
  • Recommendations for health data
  • Exploratory search of health data via query reformulation, autocompletion, type-ahead search, and approximate query answering
  • Health data exploration through visualization
  • Analytics over large-scale health data
  • Personal health apps
  • Data quality, profiling, and uncertainty of health data
  • Data provenance and trust of health data
  • Data versioning, evolution, change detection and representation
  • Generation and aggregation of health semantics
  • Natural language processing and text mining techniques for health data
  • Novel techniques for security, privacy, and sharing of health data
  • Knowledge graph construction on health data
  • Blockchain-based solutions for health data management
  • Innovative use of semantic technologies for health data

Published Papers

There is no accepted submissions to this special issue at this moment.
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