Demo: Profiling & Exploration of Linked Open Data
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Motivation Data on the Web
Some eyecatching opener illustrating growth and or diversity of web data
Profiling & Exploration of Linked Datasets
Stefan Dietze, Besnik Fetahu, Davide Taibi L3S Research Center, DE,
@stefandietze, http://purl.org/dietze
Stefan Dietze 12/03/14
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Data curation and dataset profiling
LinkedUp
Dataset Catalog
Stefan Dietze 12/03/14
Catalog of data (LinkedUp Catalog): classification of datasets according to resource types, disciplines/topics, data quality, accessability, etc
Infrastructure for distributed/federated querying
describes
Which datasets are useful & trustworthy for case XY (eg „learning about the solar system“) ?
Which topics (eg „Astronomy“) are covered by dataset X?
Which datasets offer videos (slides, publications, statistics etc)?
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LinkedUp Data Catalog in a nutshell
http://datahub.io/group/linked-education
http://data.linkededucation.org/linkedup/catalog/
RDF (VoID) dataset catalog: browse & query distributed datasets
Live information about endpoint accessibility
Federated queries using type mappings
Stefan Dietze 12/03/14
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db:Astro. Objects
Extracting Topic Profiles of Linked Datasets
Dataset Metadata
Stefan Dietze 12/03/14
Schema mappings
BIBO
AAISO
FOAF
contains
Entity disambiguation
Topic profile extraction
db:Astronomy
db:Astro. Objects
LinkedUp
Dataset Catalog
yov:Video
po:Programme
BBC Programme
<po:Programme …>
<po:Series>Wonders of the Solar System</.>
<po:Actor>Brian Cox</…>
</po:Programme…>
<yo:Video …>
<dc:title>Pluto & the
Dwarf Planets</dc:title>
…
</yo:Video…>
Yovisto Video
bibo:Fil bibo:Fi
bibo:Film
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What’s all the data about: exploring topics of LOD in a nutshell http://data-observatory.org/lod-profiles/
Stefan Dietze 12/03/14
Visualisation & exploration of dataset-topic-graph (datasets, topics, relationships)
Includes all responsive datasets of LOD Cloud
A Scalable Approach for Efficiently Generating Structured Dataset Topic Profiles, Fetahu, B., Dietze, S., Nunes, B.P., Cassanova M., Nejdl, W. (2014), 11th Extended Semantic Web Conference, ESWC2014, Greece, May 2014.
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Stefan Dietze 12/03/14
dbp:Category:Royal_Medal_winners
dbp:Category:1955_births dbp:Category:People_from_London
dbp:Category:Buzzwords
dbp:Category:Web_Services
dbp:Category:HTTP
dbp:Category:Unitarian_Universalists
dbp:Category:World_Wide_Web
What have these categories in common?
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Stefan Dietze 12/03/14
Diversity of category profile for a single paper
Berners-Lee, Tim; Hendler, James, Ora Lassila (2001). "The Semantic Web". Scientific American Magazine.
person
document
dbp:Tim_Berners-Lee
dbp:Category:1955_births dbp:Category:People_from_London
dbp:Category:Buzzwords
dbp:Semantic_Web
dbp:Category:Semantic_Web
dbp:Category:Web_Services
dbp:Category:HTTP
dbp:Category:Unitarian_Universalists
first-level categories (dcterms:subject)
dbp:Category:World_Wide_Web
dbp:Category:Royal_Medal_winners
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DBpedia category graph not an ideal “topic” vocabulary:
Broad and noisy
“Categories” vs “topics” (for capturing disciplines, thesauri like UNESCO Thesaurus seem better suited)
Lack of clear hierarchy: graph, not a tree
Mixing categories across resource types (document, person etc) creates “perceived noise”
But: broadness is useful as general vocabulary for categorisation of all sorts of resource types
Stefan Dietze 12/03/14
Dataset profiling: some lessons learned
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Stefan Dietze 12/03/14
http://data-observatory.org/led-explorer/
Type specific views on datasets/ categories (ie “topics”)
“Document” (foaf:document)
“Person “ (foaf:person)
“Course” (aaiso:course)
Currently applied to datasets in LinkedUp Catalog only (as schema mappings already available here)
More precise profiles of educational datasets
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Thank you!
12/03/14 10 Stefan Dietze
http://data-observatory.org/led-explorer/
http://data-observatory.org/lod-profiles/