This document discusses using linked open data and semantic web technologies to improve scientific knowledge management systems. It outlines how linking distributed data sources using common web standards allows data to be queried and analyzed across datasets in new ways. This enables researchers to discover relationships in the data that individual datasets did not anticipate. It advocates assigning stable, dereferenceable web identifiers to entities to facilitate linking data both within and across sources.
25. Why Linked Open Data?
– Distributed Web Model
• using W3C standards (xml, rdf, owl)
• Machine usable data (automatic analysis & reasoning)
• Web pages at same identifier (content negotiation)
26. Why Linked Open Data?
– Distributed Web Model
• using W3C standards (xml, rdf, owl)
• Machine usable data (automatic analysis & reasoning)
• Web pages at same identifier (content negotiation)
– Anyone can say anything about anything, anywhere
• Usages that the data providers never anticipated
• Third parties connect concepts between data sets
• Particular needs contribute to global achievement
27. Why Linked Open Data?
– Distributed Web Model
• using W3C standards (xml, rdf, owl)
• Machine usable data (automatic analysis & reasoning)
• Web pages at same identifier (content negotiation)
– Anyone can say anything about anything, anywhere
• Usages that the data providers never anticipated
• Third parties connect concepts between data sets
• Particular needs contribute to global achievement
– Flexible to adapt to almost any form of data
– Information managed at source plus annotated globally
28. Why Linked Open Data?
– Distributed Web Model
• using W3C standards (xml, rdf, owl)
• Machine usable data (automatic analysis & reasoning)
• Web pages at same identifier (content negotiation)
– Anyone can say anything about anything, anywhere
• Usages that the data providers never anticipated
• Third parties connect concepts between data sets
• Particular needs contribute to global achievement
– Flexible to adapt to almost any form of data
– Information managed at source plus annotated globally
– Queries and other analysis can combine arbitrary sets of
data, anywhere and owned by anyone
– Common and diverse vocabularies can be used together
and related to each other (creativity, science!)