Advances in Web Data Management
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 September 2026 | Viewed by 17
Special Issue Editor
Interests: machine learning; bioinformatics; artificial intelligence; cloud computing; web intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the digital era, web data management has undergone a remarkable evolution, driven by the explosive growth of data volume, variety, and velocity on the web. Today, it extends far beyond traditional database management to encompass the acquisition, integration, processing, storage, and analysis of vast, heterogeneous, and dynamic data from diverse web sources. This Special Issue, titled “Advances in Web Data Management”, is dedicated to presenting cutting-edge research and developments within this vibrant field.
This Special Issue solicits high-calibre research articles, comprehensive review papers, and concise short communications. The scope of interest encompasses, but is not restricted to, the following areas:
- XML Data Management: This includes advanced XML query languages, the evolution of XML schemas, and XML-based data integration methodologies.
- Semantic Web Technologies: Areas such as ontology development, semantic annotation, and reasoning engines are of interest.
- Web Data Mining: The extraction of valuable insights from web-sourced data, including social network analysis and sentiment analysis, is a key focus.
- Privacy-Preserving Management: Techniques such as differential privacy, federated learning, and secure multi-party computation are being integrated into web data management systems.
- Scalable Processing Engines: The maturation of distributed computing frameworks and hybrid transactional/analytical processing systems enables complex queries and analytics on live, operational data at web scale.
- Enhanced Data Quality and Provenance: Automated data cleaning, validation, and trust assessment will be addressed. Blockchain-inspired techniques are being explored for immutable data provenance, tracking the origin, ownership, and transformation history of web data.
We are confident that this Special Issue will make a substantial contribution to both the academic and industrial communities. It will serve as a platform for the dissemination of innovative ideas and research outcomes, while also fostering collaborations between researchers and practitioners, thereby propelling the future development of web data management.
Prof. Dr. Kalpdrum Passi
Guest Editor
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 250 words) can be sent to the Editorial Office for assessment.
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. Electronics is an international peer-reviewed open access semimonthly 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 2400 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.
Keywords
- web data management
- XML technology
- semantic web
- ontology engineering
- linked data
- data integration
- web application development
- knowledge representation
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