Making true connections in a complex world:new technologies to link facts, concepts and data
Thursday 25 January 2018
NetIKX offers KM and IM professions a chance to increase our understanding of the new technology approaches that are changing and challenging our work. Our next seminar will give
you a chance to confidently discuss and assess the opportunities of new approaches to Linked Data and Graph Technology that can enhance your work and your organisational value.In everyday language, a ‘graph’ is a visual representation of quantitative data. But in computing and information management, the word can also refer to a data structure in which entities are considered as nodes in a network diagram, with links (relationships) between some of them. Both the entities and the relationships can also be recorded as having ‘properties’ or ‘attributes’, quantitative and qualitative.
This basic idea of nodes, links and attributes in a network of relationships is increasingly being applied in various fields of information management. Linked Data is one such application; the Web Ontology Language (OWL) is another. To facilitate working with these graph structures, new information technologies are being developed, such as RDF triple stores, graph databases, and graph-oriented query languages.
The two speakers at this seminar present complementary aspects of this approach to information management, retrieval and exploration.
Dion Lindsay: Introducing the New Graph Technology of Information
Graph technology is a rapidly growing method of making complex datasets visually engaging and explorable in new ways, revealing hidden patterns and creating actionable insights. Graph technology is being applied to the vast and unruly sets of unstructured data, with which traditional relational database technology has not been able to come to terms, but which enterprises own and are anxious to exploit.
David Clarke: Building Rich Search and Discovery User Experiences with Linked Open Data
This presentation will demonstrate how to leverage Linked Open Data for search and discovery applications. The Linked Open Data cloud is a rapidly growing collection of publicly accessible resources, which can be adopted and reused to enrich both internal enterprise projects and public-facing information systems. Linked Open Data resources live in graph databases, formatted as RDF triple stores. Two use-cases will be explored.