The 2025 Wikidata Research Grant Program, organized by Wikimedia Indonesia, has resulted in two studies demonstrating how the Wikidata ecosystem can be leveraged to address a wide range of needs, from managing Indonesian legal data to developing knowledge management systems within organizations. The two studies show that Wikidata serves not only as an open database but also as a foundation for developing knowledge graphs and enabling data interoperability.
LegaLi-JSON: Building a Knowledge Graph of Indonesian Court Decisions
The study LegaLi-JSON: Building a Linked Knowledge Graph of Indonesian Appellate and Supreme Court Decisions focuses on developing a structured data representation for appellate court and Supreme Court decisions in Indonesia. Until now, court decisions have generally been available in document form, making it difficult to automatically analyze relationships among cases, judges, and cited regulations.
Through this research, the team developed a JSON-based data format capable of representing decision metadata in a structured manner and linking it into a linked knowledge graph. This approach enables entities such as cases, judges, courts, and regulations to be interconnected, making them easier to explore and analyze.
Illustration of a knowledge graph of Indonesian court decisions, Wikimedia Commons
In addition to producing a data structure that is easier for machines to process, the study demonstrates how Indonesian legal data can be integrated into the linked open data ecosystem, including Wikidata. The results open up opportunities for the development of legal analytics applications, semantic-based decision retrieval, and data-driven legal research.
Integrating Private Wikibase and Wikidata
The second study, titled Developing an Enterprise Knowledge Framework by Integrating Private Wikibase and Public Wikidata, addresses the needs of organizations to manage internal knowledge without losing the benefits of open data.
The study develops a framework that connects Private Wikibase as an organizational knowledge repository with Wikidata as a source of public data. Through this approach, organizations can independently manage their internal data while enriching their information using data available on Wikidata.
Architecture for integrating Private Wikibase with Wikidata, Wikimedia Commons
One of the outcomes of the study is the development of a dual-database architecture. The system prioritizes information retrieval from the internal Wikibase and then leverages Wikidata when the available data is incomplete or its level of confidence is low. The study also develops entity linking and cross-validation processes to improve data quality within the organization’s knowledge base.
Through this approach, the study demonstrates that Wikidata can serve as an important component in building modern knowledge management systems that connect private and public data in an interoperable manner.
Contributions to the Open Knowledge Ecosystem
Although they focus on different areas, both studies share the same goal: expanding the use of Wikidata through linked data and knowledge graph approaches. The LegaLi-JSON study demonstrates the potential of Wikidata to support the openness of Indonesian legal data, while the Private Wikibase integration study shows how organizations can build knowledge systems that remain connected to the open data ecosystem.
Through the 2025 Wikidata Research Grant Program, Wikimedia Indonesia is not only supporting academic research but also encouraging innovations that can benefit researchers, institutions, communities, and technology developers. Together, the two studies demonstrate the growing relevance of the Wikimedia ecosystem in supporting digital transformation, knowledge management, and the development of semantic web-based applications in Indonesia.
Looking ahead, the results of these studies are expected to serve as a foundation for further collaboration among Wikimedia Indonesia, universities, communities, and various institutions to expand the use of Wikidata for research, data governance, and the development of open knowledge-based solutions.
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