Name
Abstract | ||
|---|---|---|
The Web of Linked Data grows rapidly and already contains data originating from hundreds of data sources. The quality of data from those sources is very diverse, as values may be out of date, incomplete or incorrect. Moreover, data sources may provide conflicting values for a single real-world object. In order for Linked Data applications to consume data from this global data space in an integrated fashion, a number of challenges have to be overcome. One of these challenges is to rate and to integrate data based on their quality. However, quality is a very subjective matter, and finding a canonic judgement that is suitable for each and every task is not feasible. To simplify the task of consuming high-quality data, we present Sieve, a framework for flexibly expressing quality assessment methods as well as fusion methods. Sieve is integrated into the Linked Data Integration Framework (LDIF), which handles Data Access, Schema Mapping and Identity Resolution, all crucial preliminaries for quality assessment and fusion. We demonstrate Sieve in a data integration scenario importing data from the English and Portuguese versions of DBpedia, and discuss how we increase completeness, conciseness and consistency through the use of our framework. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2320765.2320803 | EDBT/ICDT Workshops |
Keywords | Field | DocType |
quality assessment,data quality assessment,data integration scenario,linked data integration framework,data access,consuming high-quality data,quality assessment method,global data space,linked data,linked data application,data source,semantic web,data integration,data quality,rdf,data integrity,data fusion | Data integration,Data warehouse,Data mining,Data architecture,Data exchange,Data quality,Data mapping,Computer science,Linked data,Data virtualization | Conference |
Citations | PageRank | References |
103 | 4.36 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pablo N. Mendes | 1 | 1070 | 51.09 |
| Hannes Mühleisen | 2 | 185 | 15.20 |
| Christian Bizer | 3 | 8448 | 524.93 |