4sr is an extension of 4store where we are implementing backward chained reasoning. Currently a subset of RDFS is supported. This set includes: rdfs:subClassOf, rdfs:subPropertyOf, rdfs:domain and rdfs:range.
Local Outlier Factor (LOF) is an anomaly detection algorithm presented as "LOF: Identifying Density-based Local Outliers" by Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng and Jörg Sander[1]. The key idea of LOF is comparing the local density of a point's neighborhood with the local density of its neighbors.
I often end up running a big SPARQL query (usually on a server), exporting the results a TSV, and post processing the results with some combination of vi, perl, awk, sort etc., then loading the processed data into a copy of Excel to get stats out of it, or produce a chart or whatever.
The other day I was wondering if you could pull results directly from a SPARQL endpoint into Excel. Well, it turns out that you can, via something called an Internet Query File.
Tupelo is a data and metadata management system based on semantic web technologies. Tupelo provides a variety of generic utilities for managing data and metadata using both best-of-breed semantic database implementations such as Jena and Sesame, as well as ordinary storage technologies such as flat files. Tupelo makes data and metadata portable across a variety of Contexts and deployment scenarios, including desktop applications, web-based applications, and more complex distributed architectures. Its use of global identification and explicit semantics means that metadata created and managed with Tupelo can be easily exported and used by a wide variety of RDF-aware tools and technologies.
New Dutch cloud service Silk, which is launching today, wants to fulfill the promise of the Semantic Web and make your documents, web pages and files more powerful -- and with a few fixes, it could get there.
The Visualization ToolKit (VTK) is an open source, freely available software system for 3D computer graphics, image processing, and visualization used by thousands of researchers and developers around the world.
Developed by the Lawrence Livermore National Laboratory, VisIt contains a rich set of visualization methods—such as contour plots, pseudocolor plots, volume plots, vector plots, and boundary plots—for visualizing scientific data. VisIt allows the ability to provide quantitative as well as qualitative information from a scientific data set.
DB2 Graph Store is an optimized way to store graph triples inside DB2 database. Support for the SPARQL query language
Support for popular RDF Java APIs like JENA
Support for HTTP SPARQL end-point via JOSEKI
S. Baluja, D. Ravichandran, и D. Sivakumar. Proceeding of the International Conference on Knowledge Discovery and Information Retrieval (KDIR 2009), INSTICC, (6-8 10 2009)
M. Banko, и E. Brill. ACL '01: Proceedings of the 39th Annual Meeting on Association for Computational Linguistics, стр. 26--33. Morristown, NJ, USA, Association for Computational Linguistics, (2001)
B. Berendt, A. Hotho, и G. Stumme. International Semantic Web Conference, том 2342 из Lecture Notes in Computer Science, стр. 264 - 278. Springer Verlag, (2002)
S. Bloehdorn, и A. Hotho. Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 1-4 November 2004, Brighton, UK, стр. 331-334. IEEE Computer Society, (ноября 2004)