MoDAT: Designing the Market of Data
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".
Deadline for manuscript submissions: closed (30 January 2019) | Viewed by 25478
Special Issue Editor
Interests: chance discovery; market of data
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The 5th International Workshop on the Market of Data (MoDAT2017 http://www.panda.sys.t.u-tokyo.ac.jp/MoDAT/) will be held on 18 November, 2017, in New Orleans. This workshop deals with how to create and design a market where data are reasonably dealt with, i.e., sold, opened free, or shared after negotiations. Relevant areas include, but are not limited to:
Data/Text mining and visualization
- Visualization of links among data, representing the possibility to combine them and to discuss use scenarios of data
- Visualization of links and distances among data, representing their similarities
- Mining data or text to find important events and attributes, in order to compute the links and distances
- Extracting causalities, for externalizing links among data
Knowledge representation
- Construction of dictionaries of variables, for reasonably linking data
- Representing the hierarchical structure of relevance among concepts and variables, used in the thoughts of analysts and users
Methods for creative communication and argumentation
- Data-based communication for evaluating the value of an event, i.e., chance discovery, and data which may include such an event
- Visual interface for triggering meaningful thoughts of stakeholders
We initiated the MoDAT workshop in 2013 (http://www.panda.sys.t.u-tokyo.ac.jp/MoDAT/program2013.html#program), in ICDM2013. In MoDAT workshops so far, participants discussed aspects of data links, data/text/web mining, creative communication, etc. With reference of these past workshop outcomes, we should make the Market of Data use of more effective and efficient shared mechanism to function moving forward, i.e., not only within a certain area of interest, but also cross data domains, cross functions and cross applications to yield new opportunities integrating different applications.
This Special Issue intends to contain a selection of carefully revised and extended best papers of the past MoDAT workshops. The conference papers should be cited and noted on the first page of the paper; authors are asked to disclose that it is a conference paper in their cover letter and include a statement on what has been changed compared to the original conference paper. Each submission to this journal issue should contain at least 50% of new material, e.g., in the form of technical extensions, more in-depth evaluations, or additional use cases. However, submissions new to conferences or workshops so far are also encouraged and welcome.
All submitted papers will undergo our standard peer-review procedure. Accepted papers will be published in open access format in Information and collected together on this Special Issue website.
We also call for anyone interested in this topic and MoDAT.
Prof. Yukio Ohsawa
Guest Editor
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