|SMWCon Fall 2017|
|The Linked Open Data Wiki - Empowering Organizational Knowledge Bases with Linked Open Data|
|Event start:||2017/10/05 11:40:00|
|Event finish:||2017/10/05 12:05:00|
|Keywords:||Linked Open Data, Semantic Web, Wiki systems, Knowledge Engineering|
One of the main driving forces for the integration of Semantic Media Wiki systems in corporate contexts is their query construction capabilities on top of organization-specific vocabularies and directly embedding query results within wiki pages. However, exploiting knowledge from external sources like other organizations or Linked Open Data as well as sharing knowledge in a meaningful way is difficult due to the lack of a common and shared schema definition. In this paper, we introduce Linked Data Wiki (LD-Wiki), an approach to combine the power of Linked Open Vocabularies and \-Data with established organizational semantic wiki systems. Our approach supports suggestions for annotations from Linked Open Data for the organizational knowledge base in order to enrich it with background information from Linked Open Data. Including potential uncertain, incomplete, inconsistent or redundant Linked Open Data within an organizational knowledge base poses the challenge of interpreting such data correctly within the respective context. In our approach, we evaluate data provenance information in order to handle data from heterogeneous internal and external sources adequately and provide data consumers with the latest and best evaluated information according to a ranking system.