Group items tagged

Tamara Munzner Ph.D. dissertation, Stanford University, June 2000. Abstract *Visualization/graphing strategy for large semantic networks is described. Very technical.* Many real-world domains can be represented as large node-link graphs: backbone Internet routers connect with 70,000 other hosts, mid-sized Web servers handle between 20,000 and 200,000 hyperlinked documents, and dictionaries contain millions of words defined in terms of each other. Computational manipulation of such large graphs is common, but previous tools for graph visualization have been limited to datasets of a few thousand nodes. Visual depictions of graphs and networks are external representations that exploit human visual processing to reduce the cognitive load of many tasks that require understanding of global or local structure. We assert that the two key advantages of computer-based systems for information visualization over traditional paper-based visual exposition are interactivity and scalability. We also argue that designing visualization software by taking the characteristics of a target user's task domain into account leads to systems that are more effective and scale to larger datasets than previous work.

A semantic network is a directed graph consisting of nodes (also termed points or vertices) which represent concepts and edges (also termed lines or arcs) which represent semantic relations between the concepts. A kind of knowledge representation used, for example, in hypertext systems.

Oracle Spatial 11g introduces the industry's first open, scalable, secure and reliable RDF management platform. Based on a graph data model, RDF triples are persisted, indexed and queried, similar to other object-relational data types. The Oracle 11g RDF database ensures that application developers benefit from the scalability of Oracle 11g to deploy scalable and secure semantic applications. Application areas include: * Life Sciences: Biological pathway analysis, discovery and enhanced search. * Defense & Intelligence: Data and content integration, reasoning and inference. * Enterprise Application Integration: Data and systems integration, semantic enterprise integration and semantic web services. * CRM/ERP: Supply chain integration, sourcing optimization and customer service automation.

Franz Inc. is the leading supplier of commercial, persistent and scalable RDF Graph Database products. AllegroGraph RDFStore provides the solid storage layer for powerful reasoning and ontology modeling capabilities. Franz's semantic technology solutions are uniquely positioned to help bring your Web 3.0 ideas to reality.

We want to make all the world's content more accessible, interoperable and valuable. Some call it Web 2.0, Web 3.0, the Semantic Web or the Giant Global Graph - we call our piece of it Calais. Calais is a rapidly growing toolkit of capabilities that allow you to readily incorporate state-of-the-art semantic functionality within your blog, content management system, website or application.