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Dimensions of Formality: A Case Study for MKM in Software Engineering

We study the formalization of a collection of documents created for a Software Engineering project from an MKM perspective. We analyze how document and collection markup formats can cope with an open-ended, multi-dimensional space of primary and secondary classifications and relationships. We show that RDFa-based extensions of MKM formats, employing flexible "metadata" relationships referencing specific vocabularies for distinct dimensions, are well-suited to encode this and to put it into service. This formalized knowledge can be used for enriching interactive document browsing, for enabling multi-dimensional metadata queries over documents and collections, and for exporting Linked Data to the Semantic Web and thus enabling further reuse.

preprint2010arXivOpen access
Andrea KohlhaseMichael KohlhaseChristoph Lange
Software EngineeringDigital LibrariesArtificial Intelligence
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Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
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Andrea KohlhaseMichael KohlhaseChristoph Lange

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