Toward manageable data sources
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | Information Modelling and Knowledge Bases XXX |
| Editors | Tatiana Endrjukaite, Hannu Jaakkola, Alexander Dudko, Yasushi Kiyoki, Bernhard Thalheim, Naofumi Yoshida |
| Publisher | IOS Press |
| Pages | 101-111 |
| Number of pages | 11 |
| ISBN (Electronic) | 9781614999324 |
| DOIs | |
| Publication status | Published - 1 Jan 2019 |
| Publication type | A4 Article in a conference publication |
| Event | International Conference on Information Modelling and Knowledge Bases - Riga, Latvia Duration: 4 Jun 2018 → 8 Jun 2018 |
Publication series
| Name | Frontiers in Artificial Intelligence and Applications |
|---|---|
| Volume | 312 |
| ISSN (Print) | 0922-6389 |
Conference
| Conference | International Conference on Information Modelling and Knowledge Bases |
|---|---|
| Country | Latvia |
| City | Riga |
| Period | 4/06/18 → 8/06/18 |
Abstract
As information systems are producing vast amounts of data with ever increasing speed and diversity, the management of data is becoming an important part of gaining the information that we need. With this as the motivation, this paper proposes a Manageable Data Sources framework for the systematic management of data sources. The framework is derived from a new conceptual model of data processing: The Faucet-Sink-Drain model. The framework achieves two aims: The unification of data processing, and secondly, the componentization and decoupling of data processing related tasks. The framework is described and a reference architecture is laid out for the creation of a proof-of-concept implementation to solve the given use case.
ASJC Scopus subject areas
Keywords
- Big Data, Conceptual model, Data processing, Faucet-Sink-Drain model, Framework, MDS