ISWC 2012 Tutorial - Machine Learning on Linked Data: Tensors and their Applications in Graph-Structured DomainsThis tutorial will provide an introduction to tensor factorizations and their applications for machine learning on graphs.Maximilian Nickel
bigdata | Download bigdata software for free at SourceForge.netbigdata(R) is a scale-out storage and computing fabric supporting optional transactions, very high concurrency, and very high aggregate IO rates.
Features statement-level provenance, free-text search, and incremental load and retraction, inference etc.
AKSW : Projects / FOXFOX is a framework that integrates the Linked Data Cloud and makes uses of the diversity of NLP algorithms to extract RDF triples of high accuracy out of NL. In its current version, it integrates and merges the results of Named Entity Recognition, Keyword Extraction and Relation Extraction tools.
Tupelo Semantic Content RepositoryTupelo 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.
4sr - Scalable SPARQL query system with RDFS reasoning4sr 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.
Mining Data Semantics (MDS'2011) WorkshopThe workshop aims to discuss key issues and practices of semantic mining. Thanks to the initiatives of the Linked Open Data and robust techniques for semantic annotation of Web, social, and sensor data, more semantic data is available. Many research efforts have been directed toward demonstrating semantic techniques to analyze and mine this growing resource. The workshop will provide a cross-disciplinary forum for researchers to showcase their innovation and efforts, and to further enhance existing bounds and create new connections among different communities. Here we solicit contributions on researches and practices of mining data semantics including theory, algorithms, and applications from computer science, life science, healthcare and other domains.