Big Data Integration

Dear Colleagues,

The MDPI Information Journal invites submissions to a Special Issue on “Big Data Integration”.
In the big data era, business, government, and scientific organizations’ operations increasingly rely on huge amounts of data collected from several data sources. Such data sources usually exhibit several quality issues, such as incompleteness, redundancy, inconsistency or simply incorrectness. A number of tasks for improving the various aspects of data quality and thus increase the reliability of the outcomes of data analytics are related to data integration. In this Special Issue, we pay special attention to how big data characteristics (such as volume, variety, velocity, and veracity) call for novel data integration frameworks that relax a number of assumptions underlying several methods and techniques proposed in the context of databases, machine learning, and semantic Web communities. Although individual characteristics of big data have been the focus of previous research work in data integration, such techniques are challenged when more than one of the big data characteristics have to be addressed simultaneously.
This Special Issue is concerned with groundbreaking topics at the interface of the data integration problem, with particular emphasis on big data.

Topics of interest include but are not limited to the following:

• Algorithms and techniques for data integration
• End-to-end data integration systems
• Scalable data integration
• Integrating complex data
• Incremental data integration
• Real-time data integration
• Query-based data integration
• Diversity-aware data integration
• Multilingual data integration
• Crowd-based data integration
• Human-in-the-loop data integration
• Transparency in data integration
• Explaining data integration
• Fairness-aware data integration
• Preserving Privacy in data integration
• Semantics and ontologies in data integration
• Entity resolution, record linkage, data matching and duplicate detection
• Blocking for entity resolution
• Distributed entity resolution
• Entity resolution benchmarks
• Data preparation for data integration
• Big data cleaning
• Schema matching
• Schema evolution
• Web content mining
• Web structure mining
• Web usage mining

Dr. Kostas Stefanidis
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 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. Information 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.