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Linked Data Meets Big Data: A Knowledge Oraganization Systems Perspective. The ASIS&T Special Interest Group on Classification Research (SIG/CR) WorkshopDownload
The objective of this paper is a) to provide a conceptualanalysis of the term big data and b) to introduce linked dataapplications such as SKOS-based knowledge organizationsystems as new tools for the analysis, organization, representation, visualization and access to big data.
This presentation provides a history of semantic web standards and considers the impact of their growing ontological orientation on the parallel development of metadata standards over the same period. References and an extended abstract are included. The presentation was given on November 25,...
Linked data aims to represent and disambiguate discrete entities with unique identifiers, but the relationships between places and their names are not always straightforward. This brief presentation describes certain issues encountered when modelling places in linked data, and proposes...
The web is a constantly growing repository of information. Enormous amount of available information on the web creates a demand for automatic ways of processing and analyzing data. One of the most common activities performed by these processes is comparison of data – it is done to find something...