Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Constructing a knowledge graph from an institutional repository
Thesis (MSc)--Stellenbosch University, 2024.
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Stellenbosch : Stellenbosch University
2025
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613933584515072 |
|---|---|
| access_status_str | Open Access |
| author | Miller, Grant Duncan |
| author2 | Pretorius, L. |
| author_browse | Miller, Grant Duncan Pretorius, L. |
| author_facet | Pretorius, L. Miller, Grant Duncan |
| author_sort | Miller, Grant Duncan |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description |
Thesis (MSc)--Stellenbosch University, 2024. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/131839 |
| institution | Stellenbosch University (South Africa) |
| last_indexed | 2026-06-10T12:44:01Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/131839 Constructing a knowledge graph from an institutional repository Miller, Grant Duncan Pretorius, L. Stellenbosch University. Faculty of Science. Dept. of Mathematical Sciences. Computer Science. Institutional repositories Semantic networks (Information theory) Data curation Knowledge representation (Information theory) UCTD Thesis (MSc)--Stellenbosch University, 2024. ENGLISH ABSTRACT: An institutional repository serves as the foundation for an institution’s collective memory. Typically, these open access archives only achieve a one-star rating in Tim Berners-Lee’s five-star open data taxonomy (Berners-Lee, 2012). A one-star rating indicates that the information is difficult to search using machine algorithms. To enhance information discoverability in the present day, we must ensure that data is effectively machine-searchable, with higher ratings reflecting better s earchability. This research outlines the process of transforming an institutional repository (https://uir.unisa.ac.za) from one-star textual data to four-star resource description framework (RDF) triples (W3C, 2014b). These four-star RDF triples constitute a knowledge graph, and publishing it on the public Internet in a connected manner elevates it to a knowledge graph for the institutional repository (Fensel et al., 2020). The connectedness of this knowledge graph with the cloud of linked open data (LOD) upgrades it to five-star linked open data (Pujara et al., 2013; McCrae, 2 021). Our enrichment pipeline, built on stateless microservices that use stateful messaging, facilitates the automatic conversion of web pages into a knowledge graph. Although automatic construction of a knowledge graph is feasible, some human curatorship is required to enhance the quality of this automated process. Additionally, a manual step is necessary to publish the four-star knowledge graph on the Internet, converting it into five-star LOD and integrating it into the LOD cloud. The resulting knowledge graph, explored and analysed, demonstrates that an element of the institution’s collective memory is indeed accessible. AFRIKAANSE OPSOMMING: Geen opsomming beskikbaar. Masters 2025-04-02T10:33:55Z 2025-04-02T10:33:55Z 2024-12 Thesis https://scholar.sun.ac.za/handle/10019.1/131839 Stellenbosch University xii, 310 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Institutional repositories Semantic networks (Information theory) Data curation Knowledge representation (Information theory) UCTD Miller, Grant Duncan Constructing a knowledge graph from an institutional repository |
| title | Constructing a knowledge graph from an institutional repository |
| title_full | Constructing a knowledge graph from an institutional repository |
| title_fullStr | Constructing a knowledge graph from an institutional repository |
| title_full_unstemmed | Constructing a knowledge graph from an institutional repository |
| title_short | Constructing a knowledge graph from an institutional repository |
| title_sort | constructing a knowledge graph from an institutional repository |
| topic | Institutional repositories Semantic networks (Information theory) Data curation Knowledge representation (Information theory) UCTD |
| url | https://scholar.sun.ac.za/handle/10019.1/131839 |
| work_keys_str_mv | AT millergrantduncan constructingaknowledgegraphfromaninstitutionalrepository |