Jeni Tennison published several excellent blog entries which describe process of creating Linked Data. If you are interested in semantic technologies, you will find lots of important ideas in these postings.
From Jeni’s Musings :
– Creating Linked Data – Part I: Analysing and Modelling
– Creating Linked Data – Part II: Defining URIs
– Creating Linked Data – Part III: Defining Concept Schemes
– Creating Linked Data – Part IV: Developing RDF Schemas
– Creating Linked Data – Part V: Finishing Touches
We have more and more Linked Data (published in RDF). I think that it is very important to find a way of using RDF data in Linked Topic Maps, and vice-versa. Traditional approach to RDF/Topic Maps mapping is based on idea of mapping between RDF Object Properties and Associations. I have been playing with the idea of mapping between Object Properties and Occurrences for quite some time. In Ontopedia, it is possible to represent RDF object properties directly as “occurrences”. Mapping between subject-centric occurrences and associations can be done later as results of inference. In Ontopedia, from user experience, there is no big difference between associations and subject-centric occurrences: identifiers, locators, names, associations, and occurrences are rendered as subject “properties”. I think that with this approach, RDF data can be “naturally” integrated with Topic Maps-based data sets.