Timely report production from WWW data sources
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | Workshops on Business Informatics Research, BIR 2011 International Workshops and Doctoral Consortium, Revised Selected Papers |
| Publisher | Springer Verlag |
| Pages | 184-195 |
| Number of pages | 12 |
| Volume | 106 LNBIP |
| ISBN (Print) | 9783642292309 |
| DOIs | |
| Publication status | Published - 2012 |
| Publication type | A4 Article in a conference publication |
| Event | 10th International Conference on Perspectives in Business Informatics Research, BIR 2011 - Riga, Latvia Duration: 6 Oct 2011 → 8 Oct 2011 |
Publication series
| Name | Lecture Notes in Business Information Processing |
|---|---|
| Volume | 106 LNBIP |
| ISSN (Print) | 18651348 |
Conference
| Conference | 10th International Conference on Perspectives in Business Informatics Research, BIR 2011 |
|---|---|
| Country | Latvia |
| City | Riga |
| Period | 6/10/11 → 8/10/11 |
Abstract
In business intelligence, reporting is perceived by users as the most important area. Here, we present a case study of data integration for reporting within the World Health Organization (WHO). WHO produces Communicable Disease Epidemiological Profiles for emergency affected countries. Given the nature of emergencies, the production of these reports should be timely. In order to automate the production of the reports, we have introduced a method of integrating data from multiple sources by using the RDF (Resource Description Framework) format. The model of the data is described using an RDF ontology, making validation of the data from multiple sources possible. However, since RDF is highly technical, we have designed a graphical tool for the end user. The tool can be used to configure the data sources of a given report. After this, data for the report is generated from the sources. Finally, templates are used to generate the reports.
ASJC Scopus subject areas
Keywords
- Data integration, OLAP, ontology, RDF, XML