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Re: LODAtlas 1.0 release - Browsing Linked Data Catalogs

From: <emmanuel.pietriga@inria.fr>
Date: Wed, 3 Oct 2018 20:30:29 +0200
Cc: public-lod@w3.org
Message-Id: <42B976E9-43D1-4E03-80C4-E356095A5F7E@inria.fr>
To: Ettore RIZZA <ettorerizza@gmail.com>
[Continuing this thread on the public-lod list only]

This is a good point.

The short answer is: because we bootstrapped LODAtlas with content from old.datahub.io (and others), using datasets that were tagged as “lod”. Wikidata is in there, but is not tagged as “lod". Actually, it isn’t tagged with anything we had considered in the first place. See [1].

[1] https://old.datahub.io/dataset/wikidata

Longer answer: of course, you are right. It should definitely be in there. Like many others, probably. Regarding wikidata, we’ll add it ourselves. Other datasets that belong there: you can use the submission form to add them, or point us at them and we’ll see what we can do. We have limited resources to handle such requests for now though, but we’ll do the best we can.

best regards,
Emmanuel
--
Emmanuel Pietriga
INRIA - ILDA
http://pages.saclay.inria.fr/emmanuel.pietriga



> On 3 Oct 2018, at 19:07, Ettore RIZZA <ettorerizza@gmail.com> wrote:
> 
> Hello,
> 
> Thank you very much, this kind of tool interests me a lot. Just a note: I see that Wikidata is not there. Are not you afraid that an atlas of the LOD without a so huge dataset would be like an atlas of the world without China or Russia?
> 
> Best regards,
> 
> Ettore Rizza
> 
> On Wed, 3 Oct 2018 at 16:45, Hande Gözükan <hande.gozukan@inria.fr> wrote:
> Dear All, 
> 
> We are happy to announce the release of LODAtlas version 1.0 [1] developed by team Ilda at Inria [2].
> 
> LODAtlas is a Web tool that helps users find linked datasets of interest through faceted browsing + keyword & URI search on the datasets' metadata and their schema-level content. The tool provides a set of interactive visualization widgets that help compare datasets along different criteria (number of triples, last update, interlinking with other datasets in the LOD cloud, etc.). Users can also get an idea of the contents of a given dataset thanks to a visual summary of the statements it contains. LODAtlas also provides a REST API that provides programmatic access to most of the data that can be visualized [3].
> 
> A talk about LODAtlas will be given at ISWC next week in Monterey, CA, USA [4a] (full paper available from [4b]).
> 
> [1] http://lodatlas.lri.fr
> [2] https://ilda.saclay.inria.fr
> [3] http://lodatlas.lri.fr/api
> [4a] http://iswc2018.semanticweb.org/sessions/browsing-linked-data-catalogs-with-lodatlas/
> [4b] https://hal.inria.fr/hal-01827766/document
> 
> Short description:
> 
> LODAtlas takes as input CKAN [5] dataset descriptions. The LODAtlas instance at [1] gives access to the entire (old) DataHub catalogue [6], that of data.gov [7], and partial access to the EU data portal [8] (data processing is still ongoing).
> 
> [5] https://docs.ckan.org/en/2.8/contents.html
> [6] https://old.datahub.io
> [7] https://www.data.gov
> [8] https://www.europeandataportal.eu
> 
> Data processing comprises the following main steps:
> - Download the metadata describing linked datasets from the CKAN repository.
> - Download the associated RDF dump files (when available).
> - Process the dump files using LODStats [9] to extract classes, properties and vocabularies.
> - Process dump files together with schema/ontology files using the RDF Quotients framework [10] to generate visual summaries of the dumps’ contents.
> 
> LODAtlas is developed as an open source project under GNU General Public License v3.0. The source code is hosted on GitLab [11].
> 
> [9] https://github.com/AKSW/LODStats
> [10] https://hal.inria.fr/hal-01325900
> [11] https://gitlab.inria.fr/epietrig/LODAtlas
> 
> LODAtlas instances can be set up by anyone, using CKAN-compliant linked dataset descriptions. LODAtlas is available as a Docker image, or can be compiled locally.
> 
> Any feedback is appreciated!
> 
> Best regards,
> The LODAtlas team.
Received on Wednesday, 3 October 2018 18:30:54 UTC

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