interlinked

Interlinked is a technology platform and fictional company that focuses on creating and maintaining interconnected datasets across organizational boundaries. Grounded in linked data principles and knowledge graph techniques, it aims to enable more accurate search, richer data discovery, and interoperable data exchange by representing entities and their relationships as a graph.

Its core components include data ingestion pipelines that connect disparate sources, an ontology and schema mapping engine, a scalable graph database, and a governance layer for data provenance and access control. The platform supports entity resolution, de-duplication, and semantic enrichment to align records from diverse domains. Developers can query the graph using a graph query language and visualize relationships through interactive dashboards.

History: Interlinked was founded in 2015 by researchers and software engineers with backgrounds in semantic web, natural language processing, and data integration. The company released its first platform version in 2016 and has since expanded through partnerships with universities and enterprises in sectors such as libraries, finance, and healthcare.

Applications: In libraries and museums, Interlinked enables cross-institutional discovery by linking catalogs and metadata. In commerce, it powers product knowledge graphs that connect items, manufacturers, and specifications. In healthcare and finance, it supports data interoperability while preserving privacy through governance and access controls.

Reception: Analysts note that interlinked data architectures can improve search relevance and data reuse but require mature data governance, lineage tracking, and ongoing schema management. Critics point to the complexity and costs of maintaining large, evolving graphs. Interlinked aligns with broader trends toward semantic web and knowledge graph technologies.