Abstract
Linked Data provides a method for publishing structured, interlinked data in a machine-readable form that can be used to build intelligent applications and services. However, the usefulness of these applications/services is dependent on the availability and correctness of the data they reason with. The crowd potentially has an important role to play in performing the non-trivial tasks of creating, validating, and maintaining the linked data used by applications and services. Additional information, such as how the data were created, when, by whom, etc., can be used in these tasks and others, such as evaluating the performance of the crowd and its members. Such information can be captured in a provenance record.
In this paper we discuss the role of the crowd in creating and maintaining the web of linked data, how provenance can be used to record the crowd’s actions, and the requirements this places on the provenance model.
In this paper we discuss the role of the crowd in creating and maintaining the web of linked data, how provenance can be used to record the crowd’s actions, and the requirements this places on the provenance model.
| Original language | English |
|---|---|
| Title of host publication | AAAI Spring Symposium "Wisdom of the Crowd" Technical Report SS-12-06 |
| Place of Publication | Stanford, California, USA |
| Publisher | AAAI Press |
| Pages | 50-51 |
| Number of pages | 51 |
| Publication status | Published - Mar 2012 |