2008/07/24 by Marko A. Rodriguez, Rodriguez, Marko A. · 1 citation
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #C.1.4 #Digital Libraries (cs.DL) #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #I.2.4 #Scientific Computing and Data Management #Semantic Web and Ontologies #cs.AI #cs.DL
paper · pdf · doi:10.48550/arxiv.0807.3908
written as a column for the Semantic Web and Information Systems Bulletin, AIS Special Interest Group on Semantic Web and Information Systems (SIGSEMIS), ISSN: 1556-2301
arxiv created 2008/07/24 · openalex publication_date 2008/07/24 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The Resource Description Framework (RDF) is continuing to grow outside the bounds of its initial function as a metadata framework and into the domain of general-purpose data modeling. This expansion has been facilitated by the continued increase in the capacity and speed of RDF database repositories known as triple-stores. High-end RDF triple-stores can hold and process on the order of 10 billion triples. In an effort to provide a seamless integration of the data contained in RDF repositories, the Linked Data community is providing specifications for linking RDF data sets into a universal distributed graph that can be traversed by both man and machine. While the seamless integration of RDF data sets is important, at the scale of the data sets that currently exist and will ultimately grow to become, the "download and index" philosophy of the World Wide Web will not so easily map over to the Semantic Web. This essay discusses the importance of adding a distributed RDF process infrastructure to the current distributed RDF data structure.