Holistic Benchmarking of Big Linked Data
Dear all,
I am happy to inform you that we have two new OKE Challenges for 2017-2018:
* The OKE Open Challenge
(https://project-hobbit.us12.list-manage.com/track/click?u=00d040a1bedee64c86d8911b0&id=b7c486fc9b&e=9fecac9332)
2017-2018. We are currently in the training phase of the OKE Open Challenge.
The OKE Open Challenge Leaderboard
(https://project-hobbit.us12.list-manage.com/track/click?u=00d040a1bedee64c86d8911b0&id=95917ad085&e=9fecac9332)
is up and running. Take the chance to browse the description of the
participatingtasks and data sets
(https://project-hobbit.us12.list-manage.com/track/click?u=00d040a1bedee64c86d8911b0&id=9e3a7c383a&e=9fecac9332)
for the OKE Open Challenge 2017-2018.
* the OKE2018 that will most probably be hosted at ESWC 2018. Please find below
a description of the OKE2018 at ESWC.
We will be more than happy if you would like to participate in any of the
aforementioned OKE 2017-2018 challenges!
Please contact us for any further information or clarification.
Best regards,
Vassiliki Rentoumi
On behalf of the OKE Challenges team
Description of the OKE2018 at ESWC
We as the former organizers of the OKE Challenge 2017 plan to propose the OKE
Challenge 2018 for the upcoming 15th ESWC 2018.
We plan to have the four following tasks:
For each task the knowledge base is DBpedia and a competing system is expected
to generate the results in an RDF serialisation.
* Focused Named Entity Identification and Linking This task comprises the
identification of named entities in sentences as well as the disambiguation and
linking of the identified entities to the knowledge base. The task is limited
to three types (Person, Place, Organisation) and their associated subtypes.
* Broader Named Entity Identification and Linking This task extends the first
task towards the entity types. Beside the three types in the first task, a
competing system might have to identify other types of entities (e.g. Disease,
Activity, Language, etc.).
* Relation Extraction This task aims to extract relations between entities from
sentences. The given data consists of annotated sentences with entities, i.e.,
entit mentions, entity types and linkings.
* Knowledge Extraction This task aims to extract knowledge from sentences. The
task comprises the identification and linking of named entities as well as the
extraction of relations between them.
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