What is it about?

We propose a methodology for building consistent metadata for the description of scientific working documents. Our methodology is supported by distributed cognitive theoretical principles and implemented through a combination of anthropological, semantic, and linguistic approaches. Our analysis is applied to a particular pharmacist activity, namely the adaptation of posology. Issues focus on the representation of situations that describe individuals, tools and artifacts. Regular relations between these situations characterize types that allow the description of conceptual contents associated to these empirical objects. Because these situations and types are expressed by a set of metadata and then associated to current metadata, our proposal extends the nature of entities described by metadata to useful internal activity artifacts.

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Why is it important?

We enhance the precision of the content representation through the characterization of universal data features that connects heterogeneous documents between them. The creation of a new metadata set for the description of specific sorts of documents is unnecessary. Therefore, we do not offer an alternative to existing metadata sets but, rather, we propose some modules that will specify the intrinsic contents of some documents which cannot easily be described by usual metadata.

Perspectives

Our metadata set is designed to be complementary to usual sets like Dublin Core for example, or ontology likes IAO. We do not propose any other KOS but artifacts and tools externalized knowledge is connected to external resources (such as controlled vocabularies or terminologies). Our perspective allows primarily an intrinsic characterization of the used metadata, distinct from external controlled vocabularies, and further, the possibility to extract automatically the linguistic entities that will be used as values in the description.

Mr christian cote
University of Lyon

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This page is a summary of: Activity Analysis, Semantics and Metadata Building, Journal of Library Metadata, April 2016, Taylor & Francis,
DOI: 10.1080/19386389.2016.1216969.
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