Gist od2-feb-2011
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This document provides an overview of the semantic web, including its major aspects and building blocks. It discusses the conceptual graph model that underlies the semantic web and standards like RDF, RDF Schema, and SPARQL. Key points covered include how semantic data is represented using URI identifiers and triples, how RDF and RDFa can be used to add metadata to web resources, how semantic data can be stored and queried using triplestores and SPARQL respectively. The document aims to explain the basics of the semantic web and how structured data representations and querying can allow linking and integrating of data on the web.
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This document discusses the transition of a government-funded aggregation of childcare and activity data to an open data model with lower costs. It outlines efforts to migrate the data infrastructure to lower-cost hosting, and challenges integrating open spatial data like CodePoint Open and OS Locator due to missing address name mappings. The vision is presented of a stand-alone gazetteer app for local geocoding and reconciling multiple data sources, with Apache SOLR and ElasticSearch identified as potential tools. Progress on an open-source gazetteer framework is noted.
Xcri aggr dev8d
The document describes the XCRI-CAP Aggregator API and tooling. The aggregator collects course data from any provider into a unified repository by periodically pulling and indexing XCRI-CAP documents. It includes a feed manager for uploading documents, a discovery interface for searching, and APIs for third party use and direct submission. The overall architecture includes interfaces for managing feeds, searching harvested data, and directly accessing the underlying Elasticsearch index or triplestore. Future work includes expanding the APIs, improving search capabilities, and releasing client libraries and code.
Xcri aggr dev8d
The document describes an XCRI-CAP aggregator that collects course data from different providers into a unified repository. It indexes and updates changes in the core aggregation database. It includes APIs for third parties to embed or use the course data. The overall architecture includes a feed manager, discovery interface, REST APIs, and submission interface. The feed manager allows uploading and scheduling collection of XCRI-CAP documents. The discovery interface allows searching across feeds and viewing results. The REST APIs provide programmatic access to the course data. The submission interface allows directly pushing XCRI documents into the aggregator.
Aggregator appoverview
The document provides an overview of the OpenFIDY Aggregator, which is an open source metadata aggregation and processing platform. It was initially used in cultural heritage and e-learning sectors by national museums and repositories. The aggregator acts as a repository for harvested and crawled public data. It has a 2 year development roadmap to improve semantic web capabilities, metadata linking, and platform upgrades. The aggregator supports standard interfaces for deposit and can migrate data between versions.
Setting up and open fidy dev environment
This document provides instructions for setting up an OpenFIDY development environment on Ubuntu 10.10 Server. It outlines the following requirements:
1) Administrator access on the chosen platform
2) The SUN JDK, Apache Maven, a database, and an internet connection for downloading dependencies
3) Instructions for installing the SUN JDK, base tools like Maven and Java, checking out the source code from subversion, and building and assembling the installable deployment package.
GIST Mobile Group - Welcome jan2011
The document welcomes attendees to a mobile developer group meeting on January 24th, 2011. It requests that attendees make a donation if taking tea, coffee, or beer and to tidy up when leaving. It also encourages attendees to contribute, share, disagree respectfully, and be considerate of other lab users.
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Gist od2-feb-2011
- 1. Semantic Web Overview Open Data Group – 23 rd Feb 2011 @ianibbo This work is licensed under a Creative Commons Attribution 3.0 Unported License.
- 3. My ability to describe what I know
- 7. Ability to describe unforeseen classes
- 10. Then ask some questions
- 12. Updating Group Operations on Tabular Data more of an issue
- 15. Modern Search Capabilities – Spatial, Text, other.
- 17. Coordination is still needed – This is not a free-for-all – Honest!
- 18. Provenance of data sets (Resource provenance good)
- 24. <GISTLab> <Hosted > <GistOpenDataMeetup1>
- 25. <GISTLab> <Hosted > <GistOpenDataMeetup2>
- 28. ISBN's, ISSNs - urn:issn:1535-3613
- 36. Understood over the internet
- 37. Descriptions which can be used in many different ways
- 38. Details Descriptions & Descriptive Bindings - RDFXML <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"> <rdf:Description rdf:about="http://media.example.com/audio/guide.ra"> <dc:creator>Rose Bush</dc:creator> <dc:title>A Guide to Growing Roses</dc:title> <dc:description>Describes process for planting and nurturing different kinds of rose bushes.</dc:description> <dc:date>2001-01-20</dc:date> </rdf:Description> </rdf:RDF>
- 39. Details Descriptions & Descriptive Bindings - RDFa <div xmlns:dc="http://purl.org/dc/elements/1.1/"> <div about="/alice/posts/trouble_with_bob"> <h2 property="dc:title">The trouble with Bob</h2> <h3 property="dc:creator">Alice</h3> ... </div> <div about="/alice/posts/jos_barbecue"> <h2 property="dc:title">Jo's Barbecue</h2> <h3 property="dc:creator">Eve</h3> ... </div> </div>
- 41. Updates / Static
- 42. Public / Private
- 43. Provenance
- 44. What is a triple/quad store, why is it special
- 45. RDF Changesets
- 47. Dataset definition, stating what RDF graph(s) are being queried
- 48. A result clause, identifying what information to return from the query
- 49. The query pattern, specifying what to query for in the underlying dataset
- 50. Query modifiers, slicing, ordering, and otherwise rearranging query results
- 51. Details Query Languages & Servers - SPARQL PREFIX foo: <http://example.com/resources/> ... # dataset definition FROM ... # result clause SELECT ... # query pattern WHERE { ... } # query modifiers ORDER BY ...
- 52. Details Query Languages & Servers - SPARQL prefix sch-ont: <http://education.data.gov.uk/def/school/> prefix spatial: <http://www.w3.org/2003/01/geo/wgs84_pos#> SELECT ?name ?district ?postcode ?lat ?long ?openDate ?email ?urbanRural ?ratio WHERE { ?school a sch-ont:School; sch-ont:establishmentName ?name; sch-ont:districtAdministrative ?district; sch-ont:districtAdministrative <http://statistics.data.gov.uk/id/local-authority-district/00CG> . OPTIONAL { ?school sch-ont:openDate ?openDate; } OPTIONAL { ?school spatial:long ?long; } OPTIONAL { ?school spatial:lat ?lat; } OPTIONAL { ?school sch-ont:SCUpreferredemail ?email; } OPTIONAL { ?school sch-ont:urbanRural ?urbanRural; } OPTIONAL { ?school sch-ont:pupilTeacherRatio ?ratio; } } ORDER BY ?name http://services.data.gov.uk/education/sparql
- 53. The coolest thing done with your data will be done by somebody else. Semantic Web should make this much less painful for that somebody else
- 55. Inferencing