Abstract
Wikipedia is a free Internet encyclopedia that covers numerous topics and is maintained by voluntary editors. There have been several efforts to analyze the quality of Wikipedia's content, specifically assessing textual content and user editorial behavior. However, there has been no specific analysis of the quality of structured data (e.g., category structures, attributes contained in infoboxes) in Wikipedia. DBPedia is one of a core part of Linked Open Data database which extracts structured information from Wikipedia. Since the quality of DBPedia depends on Wikipedia, it is beneficial to have a mechanism to keep a consistent style of writing of the structured data (metadata) within Wikipedia. In this paper, we propose a system WC3 (WC-triple: Wikipedia Category Consistency Checker) that uses DBPedia RDF-triple information to evaluate the consistency of the metadata related to the Wikipedia category information. We also illustrate examples of typicalinconsistencies that the system can assist in detecting.
| Original language | English |
|---|---|
| Title of host publication | SITIS 2015 |
| Subtitle of host publication | The 11th International Conference on Signal-Image Technology & Internet-Based Systems |
| Editors | Kokou Yetongnon, Albert Dipanda, Richard Chbeir |
| Place of Publication | Piscataway, NJ |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 712-718 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781467397216 |
| DOIs | |
| Publication status | Published - 2015 |
| Externally published | Yes |
| Event | International Conference on Signal-Image Technology and Internet-Based Systems (11th : 2015) - Bangkok, Thailand Duration: 23 Nov 2015 → 27 Nov 2015 |
Conference
| Conference | International Conference on Signal-Image Technology and Internet-Based Systems (11th : 2015) |
|---|---|
| Abbreviated title | SITIS 2015 |
| Country/Territory | Thailand |
| City | Bangkok |
| Period | 23/11/15 → 27/11/15 |
Keywords
- Wikipedia
- tagging
- Linked Open Data
- DBPedia
- SPARQL
- Tagging
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