# Digital integration **Wikidata**: [Q5276096](https://www.wikidata.org/wiki/Q5276096) **Wikipedia**: [English](https://en.wikipedia.org/wiki/Digital_integration) **Source**: https://4ort.xyz/entity/digital-integration ## Summary Digital integration is a subclass of data integration, a process focused on combining data from different sources to provide a unified view. As a specific type of data management, it operates within the broader discipline of connecting databases and creating cohesive data ecosystems. It is documented in English-language sources and is distinguished from the general concept of data integration by its specific classification hierarchy. ## Key Facts * **Classification:** Digital integration is a subclass of data integration. * **Parent Definition:** Data integration is defined as the process of combining data from different sources and providing a unified view; it is a subclass of data management. * **Wikipedia Title:** "Digital integration" * **Language Availability:** The topic is described in English (sitelink count: 1). * **Freebase ID:** /m/09yn34 * **Parent Concept Aliases:** The broader concept of data integration is also known as "information integration," "integrating," "intégration de données," and "Datenintegration." * **Parent Concept Identifiers:** Data integration is associated with Quora topic "Data-Integration" and Zhihu topic ID 19664630. * **Practitioners:** Geographic information specialists practice the broader field of data integration. ## FAQs ### Q: How does digital integration relate to data integration? A: Digital integration is classified as a subclass of data integration. While data integration is the broader process of combining data from disparate sources for a unified view, digital integration falls specifically within this category as a distinct, subordinate entity. ### Q: What is the function of the broader data integration process? A: Data integration connects databases to create cohesive data ecosystems, allowing organizations to break down silos and view information comprehensively. It serves as a foundational element of data management used by specialists such as geographic information professionals. ### Q: What technical standards and tools are associated with this domain? A: The domain utilizes technical foundations such as Datalog (a declarative logic programming language created in 1986) and modern platforms like ontop for querying relational databases as Virtual RDF Knowledge Graphs using SPARQL. It also involves the RAISE (Restore Data Integration Suite) for handling historic data. ### Q: Who are the notable contributors to the field of data integration? A: Significant contributors to the research and development of data integration include Norman Paton (University of Manchester), Christian Bizer, Marie-Christine Rousset, Yannis Tzitzikas (University of Crete), Christian Meilicke, and Paulo Pinheiro. ## Why It Matters Digital integration matters as a specific manifestation of the critical need to unify disparate information sources in the modern digital landscape. As a subclass of data integration, it inherits the significance of enabling organizations to move beyond isolated data silos toward comprehensive, unified views of information. This capability is fundamental for decision-making, analytics, and operational efficiency. The concept supports the creation of "data spaces"—ecosystems where databases connect through shared rules and governance. By facilitating the combination of diverse data streams, digital integration plays a role in applications ranging from business intelligence and customer relationship management to scientific research and digital transformation initiatives. ## Notable For * **Hierarchical Distinction:** Being explicitly classified as a subclass of data integration rather than a synonym, indicating a specific nuance within the broader field. * **Enabling Data Spaces:** The broader field enables the creation of governed ecosystems (data spaces) that connect databases through common standards. * **Cross-Disciplinary Application:** Supporting diverse sectors including research institutions, cultural organizations, and citizen science projects through the integration of historic and contemporary data. * **Specialized Variants:** The existence of specialized approaches within its domain, such as ontology-based, edge, and customer data integration. * **Semantic Web Evolution:** The field has evolved to include semantic web technologies, allowing relational databases to be queried as Virtual RDF Knowledge Graphs. ## Body ### Classification and Hierarchy Digital integration is formally classified as a subclass of **data integration**. Data integration itself is a type of process and a subclass of **data management**. This hierarchy positions digital integration within a procedural discipline focused on active data manipulation rather than static storage. The parent concept, data integration, is defined by the core function of combining data from different sources to provide a unified view. It is recognized globally with aliases including "information integration" in English, "intégration de données" in French, and "Datenintegration" in German. ### Specialized Approaches The field encompasses several specialized methodologies that define how integration is achieved: * **Ontology-based data integration:** Utilizes semantic frameworks to guide the integration process. * **Edge data integration:** Focuses on processing data at the network's edge, closer to the source. * **Customer data integration:** Specifically addresses the representation and unification of customer information across enterprise systems. * **Data spaces:** These are broad ecosystems that connect databases through governance frameworks, rules, and common standards rather than strict physical integration. ### Technical Foundations and Tools The infrastructure supporting this domain relies on specific technical tools and languages: * **Datalog:** A declarative logic programming language created in 1986 that provides foundational capabilities for data manipulation. * **Ontop:** A modern platform that enables querying relational databases as Virtual RDF Knowledge Graphs using SPARQL. * **RAISE (Restore Data Integration Suite):** Provides specialized support for memory, cultural, and research institutions working with historic data. ### Research and Development The theoretical underpinnings of data integration have been shaped by numerous researchers and groups. Notable figures include **Norman Paton** (Professor of Computer Science, University of Manchester), **Christian Bizer** (German researcher), **Marie-Christine Rousset** (French computer scientist), **Yannis Tzitzikas** (University of Crete), **Christian Meilicke** (computer scientist), and **Paulo Pinheiro** (Brazilian-American computer scientist). Institutional contributions come from groups such as the **Ontology Engineering Group** at Universidad Politécnica de Madrid. ### Applications and Usage The practical application of these integration processes spans multiple domains. **Geographic information specialists** are primary practitioners, utilizing integration for spatial and attribute data. **Cultural and research institutions** use these methods to combine diverse historical data sources. Furthermore, the field supports **citizen science** initiatives by rendering diverse data contributions accessible and analyzable within unified datasets.