Enhancing the Semantic Expressivity and Richness of Scientific Data
Although scientists routinely structure their data, they rarely take advantage of this effort. This is understandable: Conventional methods are not designed to exploit structure. Fortunately, the ongoing adoption of well-established (the eXtensible Markup Language, XML) and emerging (the Resource Description Framework, RDF) Web representations is causing this situation to change – by automatically and systematically enhancing the expressivity and richness of scientific data. After briefly reviewing these representations, emphasis is placed on a working geophysical example where this approach is being introduced. Highly consistent with Tim Berners-Lee's original vision for the Web, this transformation incorporates the meaning and context required for establishing a Semantic Web of scientific information … and ultimately knowledge.
This abstract also serves the purpose of placing this blog entry into context.
In addition to the presentation at York, related items include:
- A recently accepted paper on automating the extraction of metadata – this paper will be presented at an upcoming event
- A paper describing an XML-based data model
- A recently presented poster on informal, `bottom-up' ontologies – this poster provides a roadmap for the progression
You can expect more on this thread …