A Capability Description Language Design for Data Products
Pages 21 - 26
Abstract
Data has become a crucial factor driving the global economy, from various perspectives, including economics, technological advancements, digitization, and data analytics technologies. Data products are specific, ready-made data sets that have been enriched with metadata and designed to achieve particular outcomes. However, there is currently limited research on how to provide efficient and automated data product generation and sharing services. This paper proposes an approach to extract descriptive data capabilities to automate these processes. We examine real-world datasets from the Internet of Things (IoT) and user scenarios to extract selection capabilities and retrieval capabilities from the working data. A data access model is presented based on these capabilities. These preliminary results form the foundation for automating data product generation.
References
[1]
2017. The world’s most valuable resource is no longer oil, but data. The Economist (2017). https://www.economist.com/leaders/2017/05/06/the-worlds-most-valuable-resource-is-no-longer-oil-but-data
[2]
Fowzia Akhter, Sam Khadivizand, Hasin Reza Siddiquei, Md Eshrat E Alahi, and Subhas Mukhopadhyay. 2019. IoT enabled intelligent sensor node for smart city: pedestrian counting and ambient monitoring. Sensors 19, 15 (2019), 3374.
[3]
Santiago Andrés Azcoitia, Costas Iordanou, and Nikolaos Laoutaris. 2022. Measuring the price of data in commercial data marketplaces. In Proceedings of the 1st International Workshop on Data Economy (DE 2022). 1–7.
[4]
Michelle M Eshow, Max Lui, and Shubha Ranjan. 2014. Architecture and capabilities of a data warehouse for ATM research. In 2014 IEEE/AIAA 33rd Digital Avionics Systems Conference (DASC). IEEE, 1E3–1.
[5]
E D Falkenberg and S Brinkkemper. 1992. The Meta Model Hierarchy : A Framework for Information Systems Concepts and Techniques. (1992), 1–30.
[6]
Raul Castro Fernandez, Pranav Subramaniam, and Michael J. Franklin. 2020. Data Market Platforms: Trading Data Assets to Solve Data Problems. Proc. VLDB Endow. 13, 11 (2020), 1933–1947.
[7]
Raul Castro Fernandez, Nan Tang, Mourad Ouzzani, Michael Stonebraker, and Samuel Madden. 2019. Dataset-On-Demand: Automatic View Search and Presentation for Data Discovery. arXiv preprint arXiv:1911.11876 (2019).
[8]
Lodovico Giaretta, Thomas Marchioro, Evangelos Markatos, and Šarūnas Girdzijauskas. 2022. Towards a decentralized infrastructure for data marketplaces: narrowing the gap between academia and industry. In Proceedings of the 1st International Workshop on Data Economy (DE 2022). 49–56.
[9]
Karl Koch, Stephan Krenn, Tilen Marc, Stefan More, and Sebastian Ramacher. 2022. KRAKEN: a privacy-preserving data market for authentic data. In Proceedings of the 1st International Workshop on Data Economy (DE 2022). 15–20.
[10]
Alberto Pan, Paula Montoto, Anastasio Molano, Manuel Álvarez, Juan Raposo, and Ángel Viña. 2002. A Model for Advanced Query Capability Description in Mediator Systems. In Proceedings of the 4st International Conference on Enterprise Information Systems (ICEIS 2002) (April 2-6, 2002). Ciudad Real, Spain, 140–147.
[11]
Lucas Peres, Ticiana L. Coelho da Silva, José A. F. de Macêdo, and David Araújo. 2019. Ontology-Schema Based Query by Example. In Proceedings of the 38th International Conference (ER 2019) (November 4-7, 2019) (Lecture Notes in Computer Science, Vol. 11788). Springer, Salvador, Brazil, 204–212.
[12]
Pranav Subramaniam, Yintong Ma, Chi Li, Ipsita Mohanty, and Raul Castro Fernandez. 2021. Comprehensive and Comprehensible Data Catalogs: The What, Who, Where, When, Why, and How of Metadata Management. arXiv preprint arXiv:2103.07532 (2021).
[13]
Jian Yang, Yongping Tang, and Amin Beheshti. 2021. Design Methodology for Service-Based Data Product Sharing and Trading. In Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future - Essays Dedicated to Michael Papazoglou on the Occasion of His 65th Birthday and His Retirement(Lecture Notes in Computer Science, Vol. 12521), Marco Aiello, Athman Bouguettaya, Damian Andrew Tamburri, and Willem-Jan van den Heuvel (Eds.). Springer, 221–235.
Index Terms
- A Capability Description Language Design for Data Products
Recommendations
Research on Factors Influencing the Value of Data Products and Pricing Models
CSAE '20: Proceedings of the 4th International Conference on Computer Science and Application EngineeringThe article focuses on the analysis of data product value influencing factors and establishes a data product pricing model based on value factors. The research reviews the existing research on the value evaluation of data assets, and summarizes the ...
Data Science: A Comprehensive Overview
The 21st century has ushered in the age of big data and data economy, in which data DNA, which carries important knowledge, insights, and potential, has become an intrinsic constituent of all data-based organisms. An appropriate understanding of data ...
The impact of big data capability: a perspective of supply chain and innovation capabilities
The study on big data capability was initiated just recently. The impact of big data capability on companies, such as on companies' other capabilities, is still unclear. Grounded on dynamic capabilities theory, this study proposed a model and tested the ...
Comments
Information & Contributors
Information
Published In
June 2023
57 pages
ISBN:9798400708466
DOI:10.1145/3600046
Copyright © 2023 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 07 September 2023
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
- Next Generation Graduates Program, CSIRO, Australia
Conference
DEC '23
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 34Total Downloads
- Downloads (Last 12 months)14
- Downloads (Last 6 weeks)3
Reflects downloads up to 28 Feb 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format