Technical implementation of semantic correlation rules via API programming for basic and extended processing logics

In the field of technical communication, it has been common practice for companies to assign semantic metadata to topic-based content, in order to provide uniquely addressable content. On the consumer side, various systems are being used, providing tools for context-sensitively accessing content via...

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Bibliographic Details
Main Authors: Daum, Maurice, Telatinski, Julia, Rannacher, Patrick, Ziegler, Wolfgang
Format: Conference Proceeding
Language:English
Subjects:
Classification
Correlation
Semantics
Technical information
Online Access:Get full text
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Summary:In the field of technical communication, it has been common practice for companies to assign semantic metadata to topic-based content, in order to provide uniquely addressable content. On the consumer side, various systems are being used, providing tools for context-sensitively accessing content via its semantic classification. However, semantic correlations which exist inside and in between classifications have not yet been properly addressed. In this regard, the concept of semantic correlation rules (SCR) has been introduced, providing a generic methodological approach for capture and retrieval of these yet undocumented relationships. In cooperation with partners from industry our research group conducted a proof of concept (PoC) for SCR. Part of the PoC and subject of this paper is the technical implementation of SCR and corresponding processing logics as microservice designed to retrieve semantic correlations. In the paper we provide insights into the implementation process as well as its results and findings. From that, we evaluate the general feasibility of such microservice and try to derive generic approaches for implementing SCR and its processing logics.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0183352