Linked Data | Linked Data - Connect Distributed Data across the Web Gruff Learning Center Introduction Gruff is a freely downloadable graphical triple-store browser that attempts to make data retrieval more pleasant and powerful with a variety of tools for laying out cyclical graphs, displaying tables of properties, managing queries, and building queries as visual diagrams. The following is the result of a webinar we hosted to cover getting started with and using Gruff. For additional information, and to download Gruff, please visit the Gruff product description page here. Introductory Tutorial Presentation Slides Download the presentation slides here Training Videos Introduction Length: 04:17 Section One: Downloading the correct version Length: 01:30 Section Two: Managing Triple-stores Length: 07:12 Section Three: The Graph View Length: 18:53 Section Four: The Table View Length: 04:19 Section Five: The Outline View Length: 02:06 Section Six: The Query View Length: 06:56 Sections Seven and Eight: Visual Query Builder and Visual Discovery Length: 06:06 Additional Gruff Videos Support
Introduction SemMF - A Semantic Matching Framework Radoslaw Oldakowski November 2006 SemMF is a flexible framework for calculating semantic similarity between objects that are represented as arbitrary RDF graphs. The framework allows taxonomic and non-taxonomic concept matching techniques to be applied to selected object properties. Framework Architecture The Matching Engine takes as input a query object and a collection of resource objects to be matched against the query object. SemMF Engine is implemented in Java utilizing Jena2 Semantic Web Framework for accessing and querying of resource and query graphs as well as the underlying taxonomies. Matching Description In most cases not every object property is relevant for the similarity computation. In a matching description the importance of each object property can be specified by assigning it a certain weight . Matching Process Matching Result The output of the Matching Engine is a ranking of objects by their similarity values.
OWL API Profiling structured product labeling with NDF-RT and RxNorm