Interoperability and Integration: An Updated Approach to Linked Data Publication at the Dutch Land Registry

Kadaster, the Dutch National Land Registry and Mapping Agency, has been actively publishing their base registries as linked (open) spatial data for several years. To date, a number of these base registers as well as a number of external datasets have been successfully published as linked data and are publicly available. Increasing demand for linked data products and the availability of new linked data technologies have highlighted the need for a new, innovative approach to linked data publication within the organisation in the interest of reducing the time and costs associated with said publication. The new approach to linked data publication is novel in both its approach to dataset modelling, transformation, and publication architecture. In modelling whole datasets, a clear distinction is made between the Information Model and the Knowledge Model to capture both the organisation-specific requirements and to support external, community standards in the publication process. The publication architecture consists of several steps where instance data are loaded from their source as GML and transformed using an Enhancer and published in the triple store. Both the modelling and publication architecture form part of Kadaster’s larger vision for the development of the Kadaster Knowledge Graph through the integration of the various linked datasets.

BAURAN KOMUNIKASI PEMASARAN TOKO ANGENTYAS DI KABUPATEN TEMANGGUNG (DESKRIPTIF KUALITATIF BAURAN KOMUNIKASI PEMASARAN TOKO ANGENTYAS DI KABUPATEN TEMANGGUNG)

Artikel ini bertujuan untuk mengetahui dan menjelaskan bauran komunikasi pemasaran yang dilakukan oleh toko Angentyas di Kabupaten Temanggung. Metode penelitian yang digunakan adalah metode deskriptif kualitatif. Teknik pengumpulan data yang digunakan adalah observasi, wawancara, dan dokumentasi. Selanjutnya data yang diperoleh diolah dan dianalisis menggunakan teori pengetahuan persuasi (persuasion knowledge model theory) serta bauran komunikasi pemasaran (marketing communication mix). Hasil penelitian ini menyimpulkan bahwa bauran komunikasi pemasaran yang dilakukan oleh Toko Angentyas berhasil dalam meningkatkan penjualan produk peralatan rumah tangga dengan menggunakan teori pengetahuan pengalaman owner dalam merintis usaha, dengan pengalaman berbelanja online membuat mereka terus mendalami e-commerce guna memajukan bisnis. Toko Angentyas berusaha menerapkan bauran pemasaran (marketing mix) 7P, yakni: 1) Product (produk). 2) Price (harga). 3) Place (tempat). 4) Promotion (promosi) dengan menerapkan promotion mix seperti Advertising (periklanan), Sales promotion (promosi penjualan), Direct marketing (pemasaran langsung), Public relation (hubungan masyarakat), Internet marketing (pemasaran melalui internet). 5) People (partisipan/orang). 6) Process (proses). 7) Physical evidence (lingkungan fisik).Kata kunci: Teori Pengetahuan Persuasi, Bauran Komunikasi Pemasaran, Bauran Promosi, Toko Angentyas

Technology Integration in Higher Education: The use of Website Design Pedagogy to Promote Quality Teaching and Learning

The integration of technology within higher education, specifically teacher education, has become vital in preparing pre-service teacher for the 21st-century classroom. Literature shows that the integration of technology allows students to engage deeply with content and promote authentic learning. Over two years, pre-service teachers who nrolled for a language education module at a university in South Africa were tasked with designing their own websites using Google Sites – an online, free, collaborative, web-based application that forms part of Google’s G Suite. As part of the as part website design assignment, they had to include a blog, informative text and a YouTube video explaining a language-teaching-related topic. The study was conducted from an interpretivist paradigm and an embedded mixed-methods research design. The technological pedagogical content knowledge model served as the theoretical framework. Data collected from 214 pre-service teachers revealed that the use of website design pedagogy promoted the integration of different types of knowledge domains, authentic learning and proximal development. The pre-service teachers furthermore reported that the use of website design pedagogy better prepared them for the 21st-century classroom. Challenges that the students experienced included inadequate access to the internet and problems with recording and uploading videos. This study advocates for authentic learning and scaffolding and therefore recommends that higher education institutions integrate technology holistically by adhering to the principles of the technological pedagogical content knowledge model.

The Persuasion Knowledge Model Within Instagram Advertisements

The aim of this research was to find a correlation between the Persuasion Knowledge Model and Instagram Advertisements. Past research has primarily focused on this model on other forms of media such as television, radio, newspaper, etc. Additionally, the ages studied have been over the age of 30 as well as not focused within a certain geological demographic. For this study, participants were residents of Pennsylvania who vary in age between 18-25 years old. Using a survey, statistical analysis, and Pearson Product Moment Correlation Coefficient Analysis test (PCC test), this study measured each of the 49 participants’ persuasion knowledge and correlated it to the advertisements chosen in the survey. The analyses found that those with lower persuasion knowledge were more likely to select an advertisement with less text variance and influential text. Further, a new understanding was found that showed a slightly negative correlation due to the PCC test, but the correlation was not statistically significant. Therefore, the findings of this research study refuted the initial hypothesis and other studies conducted in the field of persuasion knowledge.

IMPLEMENTATION OF THE APPROACH TO ONTOLOGICAL MODELING OF THE MUSICAL SUPERGENRE “METAL”

Background. The relevance of the article is due to the development of modern ontological methods of structuring information and the need to systematize data in many new specific subject areas. Such subject areas include the musical art of the "metal" variety, which is quite common today, but insufficiently studied within the terminology. The subject of the article are ontological models and tools for creating ontological knowledge bases. Objective. The purpose of the paper is to increase the correctness of the semantic search in the knowledge base of the musical supergenre "metal". The scientific problem is the need to improve the terminology in this subject area and build an ontological knowledge model that increases the accuracy of information retrieval for the target audience, compared to the existing relational model implemented on one of the known web resources. Methods. Classification method, generalization method, software optimization methods, analytical method. The way to solve the problem: selection based on the comparative characteristics of the best web resource of the subject area and identifying the shortcomings of its model of knowledge representation, designing an ontological knowledge model and testing its effectiveness. Results. The average SUM for all users is 83.85%, which is a good indicator for ontological knowledge bases. At the same time, a similar method of checking the database of the supergenre "metal" on the basis of the site "Encyclopedia Metallum", which used the classical relational model of database organization, showed much lower results. Thus, the average SUM for 10 users was 75.32%, respectively. Conclusions. The scientific novelty of the obtained results is as follows: For the first time an ontological model (ontology) of the subject area was created: musical supergenre "metal", which showed much higher efficiency of semantic search than the best relational model of this subject area, implemented as a web resource. The developed structure can be used to create ontologies of related musical supergenres with similar terminology. Future research also plans to integrate this ontological knowledge model with applied web-based and desktop applications.

DS Wizard Meets DAISY: A Romance Solving Data Protection Requirements in Data Management Planning

This report summarises our activities and achievements in integrating the Data Stewardship Wizard (DSW) and Data Information System (DAISY) tools during the ELIXIR BioHackathon Europe 2021. As a data information system for GDPR compliance, DAISY is focused on a single goal – gathering all information required for GDPR accountability of biomedical research projects. On the other hand, DSW is very flexible and can be used beyond data management planning. We worked on the integration between both tools on two fronts. Firstly, we created a new Knowledge Model in DSW together with a document output template to be able to generate a data protection impact assessment (DPIA). Secondly, we introduced a new integration type between projects in DSW and DAISY that allows the querying of DAISY data upon document generation in DSW. Both of these independent activities brought successful results that were polished and published after the actual BioHackathon. Finally, we provide the related materials as an on-demand training course in the ELIXIR eLearning Platform.

Mechanism for Stimulating and Effective Use of the Innovative Potential of Uzbekistan

The article examines the complex theoretical and practical aspects of improving the mechanisms of increase of innovative activity of industrial enterprises, the theoretical questions of the innovation economy, in particular, innovative Wednesday in general, in a framework for ensuring the competitiveness of innovative businesses and the development of innovative processes in the knowledge model, in addition analyzed directly mechanisms increasing the innovative activity of industrial enterprises based on various methods and tools.

Matching Cyber Security Ontologies through Genetic Algorithm-Based Ontology Alignment Technique

Security ontology can be used to build a shared knowledge model for an application domain to overcome the data heterogeneity issue, but it suffers from its own heterogeneity issue. Finding identical entities in two ontologies, i.e., ontology alignment, is a solution. It is important to select an effective similarity measure (SM) to distinguish heterogeneous entities. However, due to the complex semantic relationships among concepts, no SM is ensured to be effective in all alignment tasks. The aggregation of SMs so that their advantages and disadvantages complement each other directly affects the quality of alignments. In this work, we formally define this problem, discuss its challenges, and present a problem-specific genetic algorithm (GA) to effectively address it. We experimentally test our approach on bibliographic tracks provided by OAEI and five pairs of security ontologies. The results show that GA can effectively address different heterogeneous ontology-alignment tasks and determine high-quality security ontology alignments.