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| id | title | publication date | author | publisher | pages |
|---|---|---|---|---|---|
| 497531 | Cartoon Animation | 1967 | Wilcox, George | HB Press | 237 |
| 501378 | Animation Techniques | 1989 | Smith, Charlotte | Cinema Press | 359 |
| 391783 | Digital Animation | 2005 | Ivar, Samuel | Digital Logic, Inc. | 327 |
| 34682 | Dairy Barn Automation | 2011 | Wilcox, G.P. | University of Minnesota Press | 403 |
VIVO stores the book, each author, and the publisher as independent entities related to the other. This enables information about the book, authors, and publisher to be queried and displayed independently, a key feature of the semantic data model.
This example also points out another challenge in working with data – it's not always clear when values that appear similar actually represent the same entity, whether a person, organization, title, journal, or event. It would be easy to assume the George Wilcox in the first entry is the same as G.P. Wilcox in the 4th, but they are writing about very different topics. For a small organization, it may be easy to disambiguate authors, but this becomes a major challenge at the scale of a major research university.
Data cleanup and disambiguation are challenges for any system and will be a common theme in documenting VIVO data ingest along with semantic data modeling that is more specific to working with VIVO.
Types of data sources for VIVO
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