scholarly journals Prototyping of creation, implementation and visualization of correlation rules and microDocs

2021 ◽  
Vol 102 ◽  
pp. 02006
Author(s):  
Alexandra Stenzel ◽  
Florian Rommel

Semantic Correlation Rules (SCR) and microDocs are new concepts in the field of content delivery. SCR allow to define relationships between information units based on their metadata and, therefore, allow for the dynamic aggregation of microDocs. The creation of SCR heavily relies on the capabilities of modern content management systems (CMS) or ontology editors. The evaluation and visualization of the emerging microDocs, on the other hand, relies on the capabilities of content delivery portals (CDP). At this time, the support of both concepts in most software solutions currently being used, is only partly existent. This paper aims to demonstrate, how these currently existing limitations can be overcome, to reveal important factors to be considered and to showcase future possibilities of the aforementioned concepts. For this purpose, we developed a series of prototypes and conceptional visuals regarding creation of SCR, aggregation of microDocs and their visual appearance taking human perception into account.

2021 ◽  
Vol 102 ◽  
pp. 02007
Author(s):  
Wolfgang Ziegler

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


2021 ◽  
Vol 102 ◽  
pp. 02003
Author(s):  
Sophie Bischoff ◽  
Jule Fuchs

Information retrieval (IR) systems like content delivery portals (CDP) help users to complete processes like searching tasks. However, these systems are facing difficulties like a lack of context or an abundance of content within the required information. An approach to solve this problem is the creation of microDocs with semantic correlation rules (SCR). The objective of this paper is to examine the realization of SCR in CDP according to use cases by focusing on the impact SCR have on the effectiveness of CDP for IR. SCR can be implemented in various creation systems. Furthermore, the paper focuses on the exemplary development of SCR in a component content management system (CCMS). Therefore, a system-based evaluation was conducted. In addition a test collection, following an ontology and a corresponding metadata architecture was created to evaluate the impact of SCR on CDP. The evaluation includes three systems, representing the different types of CDP. It uses methodology precision and recall, as well-fitting methods for the intended purpose. To conclude and finalize, testing results will be summed up, interpreted and the findings will be provided with an outlook.


2021 ◽  
Vol 102 ◽  
pp. 02005
Author(s):  
Daniel Nägele ◽  
Patricia Vobl

Ontologies are a technology recently used in technical communication (TC) to model information into a multidimensional net. They expand the modelling by taxonomy of metadata in TC. Any kind of relation between multiple classes and instances can be established. These ontologies can appear in the form of semantic correlation rules (SCR), which represent the connection between the metadata of the objects. SCR are used in connection with component content management systems (CCMS), semantic modelling systems (SMS) and content delivery portals (CDP) to deliver the appropriate amount of content in a more precise manner to the end user. In general, Ontology tools, CCMS and CDP are not based on the same ecosystem and therefore, they do not always work together effortlessly. A solution to this problem are exchange formats like the intelligent information Request and Delivery Standard (iiRDS), which enable a standardized information exchange between supported systems. Another solution would be compound information systems (CIS) like ONTOLIS, which combine a CCMS, CDP and SMS all in one. This paper aims to investigate the effect of SCR in the CDP of a CIS like ONTOLIS and to evaluate the use of exchange formats like iiRDS.


Information ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 259
Author(s):  
Ioannis Drivas ◽  
Dimitrios Kouis ◽  
Daphne Kyriaki-Manessi ◽  
Georgios Giannakopoulos

While digitalization of cultural organizations is in full swing and growth, it is common knowledge that websites can be used as a beacon to expand the awareness and consideration of their services on the Web. Nevertheless, recent research results indicate the managerial difficulties in deploying strategies for expanding the discoverability, visibility, and accessibility of these websites. In this paper, a three-stage data-driven Search Engine Optimization schema is proposed to assess the performance of Libraries, Archives, and Museums websites (LAMs), thus helping administrators expand their discoverability, visibility, and accessibility within the Web realm. To do so, the authors examine the performance of 341 related websites from all over the world based on three different factors, Content Curation, Speed, and Security. In the first stage, a statistically reliable and consistent assessment schema for evaluating the SEO performance of LAMs websites through the integration of more than 30 variables is presented. Subsequently, the second stage involves a descriptive data summarization for initial performance estimations of the examined websites in each factor is taking place. In the third stage, predictive regression models are developed to understand and compare the SEO performance of three different Content Management Systems, namely the Drupal, WordPress, and custom approaches, that LAMs websites have adopted. The results of this study constitute a solid stepping-stone both for practitioners and researchers to adopt and improve such methods that focus on end-users and boost organizational structures and culture that relied on data-driven approaches for expanding the visibility of LAMs services.


Information ◽  
2018 ◽  
Vol 9 (2) ◽  
pp. 27 ◽  
Author(s):  
Jose-Manuel Martinez-Caro ◽  
Antonio-Jose Aledo-Hernandez ◽  
Antonio Guillen-Perez ◽  
Ramon Sanchez-Iborra ◽  
Maria-Dolores Cano

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