Student Forum

With the development of artificial intelligence, the illusion of large language models and other unreliable data bring challenges to decision-making. There are differences in the way human experts and machines understand knowledge. This paper review metadata semantic methods in data trust from two dimensions of data quality enrichment and processing traceability. On this basis, with metadata semantic enhancement technology as the core, a data trustworthiness framework based on the collaboration of concept symbols and vectors is proposed. Through symbol-vector-interpretation association, metadata rule classification and collaborative reasoning, dual trusted guarantees of data quality and process processing are realized.

Traditional villages are rich in rural culture resources, such as ancient architecture and folklore, and have attracted attention due to their historical, cultural and artistic value. This study explains smart data and value addition driven ontology modeling. From the perspective of smart data, this study takes the national-level traditional villages in Beijing recorded in the Traditional Chinese Village Digital Museum as research subjects and collects relevant data to construct the ontology. Core classes define village information, culture heritage social relation, historical context and application scenario. With the guidance of smart data and the interconnections of traditional village resources, temporal, spatial and interactive relationships between village cultural resources are expressed. This study offers insights for the discovery of traditional village cultural knowledge and historical inheritance over time.

This article presents the initial phase of a doctoral research project aimed at designing a national strategy for Catalonia’s digital cultural heritage. In a context marked by institutional fragmentation and heterogeneous metadata practices across museums, libraries, and archives, the proposal seeks to develop a shared framework based on Linked Open Data technologies. Drawing inspiration from international models such as the Dutch DERA and the Swedish National Strategy for Digital Cultural Heritage, the strategy combines technical interoperability with participatory governance.

This autoethnographic study examines metadata practices within LGBTQIA+ community archives, addressing critical gaps in ethical descriptive cataloging. Through participant observation at a UK-based queer community archive, this research documents how communities develop alternative classification systems that center lived experiences rather than institutional standards. Key findings include the emergence of "taxonomies of feeling" that incorporate emotional and affective dimensions, collaborative cataloging processes that prioritize community knowledge production, and innovative approaches to privacy and consent in descriptive practices. The study reveals significant tensions between standardization requirements and community self-determination, while identifying promising frameworks for bridging institutional and grassroots approaches. This research contributes to metadata ethics discourse by demonstrating how community archives create more inclusive descriptive systems that serve as tools for cultural preservation and historical justice.

Research areas have emerged, driven by the social impact of technology-centered design while simultaneously seeking to integrate human needs and perceptions into the design process. However, substantial ambiguity persists regarding a comprehensive understanding of these fields, especially in the conceptual and methodological frameworks. Using a metadata and bibliometric analysis method based on scientific maps, this study aims to construct the conceptual structure of a section of such knowledge domain situated at the intersection of semantic technologies (such as knowledge graphs, RDF, linked data, and ontologies) and participatory design methodologies. This work is framed within a doctoral research project at the University of Barcelona, which seeks to identify pivotal literature on human-centered computation projects, metadata standards, and design methodologies in these interdisciplinary frameworks. Furthermore, it will examine the visibility of topics related to GLAM institutions (galleries, libraries, archives, and museums), their content access and curation, alongside a focus on gender and intersectionality in the existing literature.