LODStats (Presentation for KESW2013 System Demo)
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LODStats is a tool that collects and publishes statistics about Linked Open Data datasets. It gathers 32 statistical metrics about RDF datasets, such as the number of triples, entities, and literals. It can be used to understand datasets and determine their suitability for applications and visualizations. LODStats has a core Python module, a web interface, and publishes the extracted statistics as RDF using the RDF DataCube vocabulary. It allows users to search and explore dataset linkages and facets of the statistical metadata.
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01 05-14
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Chapter-1
Introduction to objective, scope and outcome the subject
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Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
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Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
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- 2. Agenda ● Why LODStats? ● Architecture ● Core Module ● Web Interface ● RDF DataCube
- 3. Why LODStats? ● Evaluate RDF datasets ● Gathers 32 statistical criteria such as: – Number of triples, entities, literals... – Average string length – Vocabularies, classes used ● Helps you understand your data ● Generates VoID descriptions
- 4. Why LODStats? LODStats can answer the following questions: ● Which visualization is suitable for my dataset? – Does data contain RDF DataCubes? – Does data contain geospatial information? – What is the class hierarchy depth? ● Is it suitable for my application? – Is it linked to DBpedia? – Is it the largest existing dataset in this domain?
- 6. LODStats: Core Module ● Python module (tested on Ubuntu 12.04) ● Command line interface ● Do the actual work
- 8. LODStats Features (1) ● General LOD cloud statistics ● Report of warnings and errors for each dataset ● Report on statistical criteria for each individual dataset ● Export as VoID and DataCube statistical metadata ● Dataset linkage explorer ● Search function for datasets, vocabularies, classes, properties, languages, datatypes
- 9. LODStats Features (2) ● REST interface for the above search functions ● Linked Data publication of statistics ● SPARQL endpoint to query all extracted statistics ● CubeViz installation for facet-based browsing and visualisation of the statistical metadata
- 14. Thank you for your attention! Questions? Ivan Ermilov iermilov@informatik.uni-leipzig.de