Abstract
Semantic technologies have recently gained considerable influence and attention in the field of technical communication and information management. While metadata management is already a well-known field of content management technologies, its semantic extension addresses more recently, for example, problems of model-based product development and related content engineering processes. On the other hand, dynamic search technology and content delivery can benefit from semantic modelling by enhancing search functionalities or by integrating various data sources utilizing semantic mapping. In this evolving environment, we propose a logical layer of content correlations as so-called semantic correlation rules (SCR). This layer can be understood as an interface between content management systems, semantic modelling systems and content delivery portals. Semantic correlation rules serve as a light-weight ontology consisting primarily of untyped semantic relations between metadata classes. In doing so, class-to-class linking mechanisms can be implemented in content delivery and search environments while serving as a basis for the previously introduced microDoc concept
Highlights
In previous publications, microdocuments and their potential benefit in the field of technical communication (TC) have been introduced [1]. microDocs address the question on how to deliver requested specific information, including sufficient context within relevant use cases of information retrieval
There is a shift towards semantic technologies supporting model-based scenarios. They focus on the areas of content creation within component content management systems (CCMS), content retrieval and delivery within content delivery portals (CDP) or metadata mapping applying information hubs
We proposed a standardized RDFS/OWL notation as an implementation of microDocs for contextaware information delivery
Summary
We propose an implementation and logical layer of microDocs as RDF-based semantic correlation rules (SCR) [2] We claim that this SCR-representation of microDocs is an easy-to-implement framework for various types of CCMS systems considering CDP and can be modelled into ontology-related software. The described concept has been implemented in a standardized RDFS/OWL representation [5,6], depicted by its main components in Fig 2: The primary information objects – in this reference use case once again one of the topics of the PI-Fan model – are characterized by socalled InRule instances and their relation (scr:selects) to given metadata (e.g pifan#connection). In further versions of SCR, extensions of the model can cover additional features like dynamic rules They can, for example, cover function-calls in the system environments or required user interactions leading to a better guidedsearch behavior of CDP. Compared to more elaborated constraint formalisms in this area like SHACL [8], it is a simpler approach, derived from and dedicated to, as emphasized, content delivery-related use cases
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