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Despite ongoing research into archival metadata standards, digital archives are unable to effectively represent records in their appropriate contexts. This study aims to propose a knowledge graph that depicts the diverse relationships between heterogeneous digital archive entities.

This study introduces and describes a method for applying knowledge graphs to digital archives in a step-by-step manner. It examines archival metadata standards, such as Records in Context Ontology (RiC-O), for characterising digital records; explains the process of data refinement, enrichment and reconciliation with examples; and demonstrates the use of knowledge graphs constructed using semantic queries.

This study introduced the 97imf.kr archive as a knowledge graph, enabling meaningful exploration of relationships within the archive’s records. This approach facilitated comprehensive record descriptions about different record entities. Applying archival ontologies with general-purpose vocabularies to digital records was advised to enhance metadata coherence and semantic search.

Most digital archives serviced in Korea are limited in the proper use of archival metadata standards. The contribution of this study is to propose a practical application of knowledge graph technology for linking and exploring digital records. This study details the process of collecting raw data on archives, data preprocessing and data enrichment, and demonstrates how to build a knowledge graph connected to external data. In particular, the knowledge graph of RiC-O vocabulary, Wikidata and Schema.org vocabulary and the semantic query using it can be applied to supplement keyword search in conventional digital archives.

The purpose of this research is to investigate some general features of folksonomies and user‐generated content with copyright issues, and to present semantic representation for folksonomies using a tag ontology that can be used to represent tagging data at a semantic level using Semantic Web technologies.

An exploratory study is described that features current social tagging methods and copyright metadata. In particular, a tag ontology is extended for representing copyright metadata across different platforms.

The main finding is that Social Semantic Cloud of Tags can improve the expressive knowledge representation of folksonomies and that this ontology can aid in describing copyright metadata using some extended properties.

The paper gives a valuable insight into representing folksonomies with Semantic Web technologies that enable the representation, exchange, and reuse of tagging data, and provides a way to reduce the risk of copyright infringements in the process of tag sharing in folksonomies.

The discovery of internet technologies which is one of the most important developments of the twenty-first century has enabled individuals and institutions to overcome geographical and time constraints creating fundamental changes in communication. As a result, online communities have enabled people to meet the internet for various reasons such as seeking and sharing information, discuss community issues and ask questions; and online communities have also enabled businesses and consumers to connect with each other at any time. Especially the emergence of Internet-based social media technologies such as blogs, virtual communities, wikis, social networks, YouTube, Facebook and Instagram provides tourists to share their travel experiences. Information shared on social media sites is considered to be an important source of information that can help tourists’ travel plan and may even influence the travel decisions of potential tourists. In this context, the concept of social media in tourism businesses has been examined in the research. Within the framework of the research, it has been observed that social media has influenced the tourists’ behavior regarding travel motivations in the context of various motivations (having information about destinations, hotels, services of hotels, wondering about consumers’ experiences who were in touristic consumption before, etc.). It is also among other findings that social media has increased the overtourism crisis.