Pursuant to prior discussions about the need for a research
policy on Wikipedia, WikiProject Research is drafting a
policy regarding the recruitment of Wikipedia users to
participate in studies.
At this time, we have a proposed policy, and an accompanying
group that would facilitate recruitment of subjects in much
the same way that the Bot Approvals Group approves bots.
The policy proposal can be found at:
http://en.wikipedia.org/wiki/Wikipedia:Research
The Subject Recruitment Approvals Group mentioned in the proposal
is being described at:
http://en.wikipedia.org/wiki/Wikipedia:Subject_Recruitment_Approvals_Group
Before we move forward with seeking approval from the Wikipedia
community, we would like additional input about the proposal,
and would welcome additional help improving it.
Also, please consider participating in WikiProject Research at:
http://en.wikipedia.org/wiki/Wikipedia:WikiProject_Research
--
Bryan Song
GroupLens Research
University of Minnesota
Dear Wiki Community,
My name is Mackenzie Lemieux and I am a neuroscience researcher at the Salk
Institute for Biological Studies and I am interested in exploring biases on
Wikipedia.
My research hypothesis is that gender or ethnicity mediate the rate of
flagging and deletion of pages for women in STEM. I hope to
retrospectively analyze Wikipedia's deletion history, harvest the
biographical articles about scientists that have been created over the past
n years and then confirm the gender and ethnicity of a large sample.
It appears that we can identify deleted pages with Wikipedia's deletion log
<https://en.wikipedia.org/wiki/Wikipedia:Deletion_log>, but to actually see
the page that was deleted we need to be members of one of these Wikipedia
user groups: Administrators
<https://en.wikipedia.org/wiki/Wikipedia:Administrators>, Oversighters
<https://en.wikipedia.org/wiki/Wikipedia:Oversight>, Researchers
<https://en.wikipedia.org/wiki/Wikipedia:Researchers>, Checkusers
<https://en.wikipedia.org/wiki/Wikipedia:CheckUser>.
Does anyone have advice on how to obtain researcher status or is there
anyone willing to collaborate who has access to the data we need?
Warmly,
Mackenzie Lemieux
--
Mackenzie Lemieux
mackenzie.lemieux(a)gmail.com
cell: 416-806-0041
220 Gilmour Avenue
Toronto, Ontario
M6P 3B4
Hello, everyone!
First, let me introduce myself. My name is Sam, and I am a data analysis
intern at a company called Megaputer Intelligence. My comapny makes a
software which which has a lot of promise in improving various Wikimedia
projects, so I am hoping that my work here will lead to a collaboration
between Megaputer and the Wikimedia foundation.
Right now I am trying to produce a better anti-vandalism bot for English
Wikipedia which involves working with a dataset of edits classified as
vandalism or not vandalism. The problem that I am having is that some of
the pages I need to access have been deleted or suppressed. Could
someone tell me where is the right place to apply for researcher rights
so that I can access these?
Thanks,
Sam at Megaputer
Dear all,
A Swedish professor is writing a piece on Wikipedia for Sweden's largest
daily newspaper, for the upcoming 20 years anniversary. She asked me for
"interesting and widespread studies" on Wikipedia – not necessarily within
any certain focus.
If you would share 2 or 3 studies, that have gained some attention and that
you find interesting, which would these be?
Would be very happy for any help!
Best
*Eric Luth*
Projektledare engagemang och påverkan | Project Manager, Involvement and
Advocacy
Wikimedia Sverige
eric.luth(a)wikimedia.se
+46 (0) 765 55 50 95
Stöd fri kunskap, bli medlem i Wikimedia Sverige.
Läs mer på blimedlem.wikimedia.se
Hi everyone,
We’re preparing for the December 2020 research newsletter and looking for
contributors. Please take a look at
https://etherpad.wikimedia.org/p/WRN202012 and add your name next to any
paper you are interested in covering. Our target publication time is 27
December 15:59 UTC. If you can't make this deadline but would like to cover
a particular paper in the subsequent issue, leave a note next to the
paper's entry below. As usual, short notes and one-paragraph reviews are
most welcome.
*Highlights from this month:*
- Hunters, busybodies and the knowledge network building associated with
deprivation curiosity
- Consensus-Based Encyclopedic Virtue: Wikipedia and the Production of
Authority in Encyclopedias
- Testing the validity of Wikipedia categories for subject matter
labelling of open-domain corpus data
- Hierarchical Trivia Fact Extraction from Wikipedia Articles
- A Case Study of NLG from Multimedia Data Sources: Generating
Architectural Landmark Descriptions
*Masssly and Tilman Bayer*
[1] http://meta.wikimedia.org/wiki/Research:Newsletter
[2] WikiResearch (@WikiResearch) | Twitter
<https://twitter.com/WikiResearch>
Apologies for cross-posting
====
SEMANTiCS - 17th International Conference on Semantic Systems, September
6 - 9, 2021
Amsterdam, The Netherlands
https://2021-eu.semantics.cc/
====
= Important Dates (specific track dates are given below)
* Abstract Submission Deadline: March 22, 2021 (11:59 pm, Hawaii time)
* Paper Submission Deadline: March 29, 2021 (11:59 pm,Hawaii time)
* Notification of Acceptance: May 17, 2021 (11:59 pm, Hawaii time)
* Camera-Ready Paper: June 06, 2021 (11:59 pm, Hawaii time)
= Read a detailed description of all available calls online:
https://2021-eu.semantics.cc/calls
= Submission via Easychair on
https://easychair.org/my/conference?conf=sem21eu#
Proceedings of SEMANTiCS 2021 EU are planned to be published by Springer
LNCS & CEUR. All proceedings will be made available open access.
SEMANTiCS 2021 EU particularly welcomes submissions on the following key
topics:
Topics of interest include, but are not limited to:
* Web Semantics & Linked (Open) Data
* Enterprise Knowledge Graphs, Graph Data Management, and Deep Semantics
* Machine Learning & Deep Learning Techniques
* Semantic Information Management & Knowledge Integration
* Terminology, Thesaurus & Ontology Management
* Data Mining and Knowledge Discovery
* Reasoning, Rules, and Policies
* Natural Language Processing
* Data Quality Management and Assurance
* Explainable Artificial Intelligence
* Semantics in Data Science
* Semantics in Blockchain environments
* Trust, Data Privacy, and Security with Semantic Technologies
* Economics of Data, Data Services, and Data Ecosystems
-------
* Special Sub-Topic: Digital Humanities and Cultural Heritage
* Special Sub-Topic: LegalTech
* Special Sub-Topic: Distributed and Decentralized Knowledge Graphs
We especially encourage contributions that illustrate the applicability
of the topics mentioned above for industrial purposes and/or illustrate
the business relevance of their contribution for specific industries.
We invite contributions to the following tracks:
= Read a detailed description of all available calls online:
https://20201eu.semantics.cc/calls
== Research and Innovation Track ==
The Research and Innovation track at SEMANTiCS welcomes papers on novel
scientific research and/or innovations relevant to the topics of the
conference. Submissions must be original and must not have been
submitted for publication elsewhere. Papers must follow the guidelines
given in the author instructions, including references and optional
appendices. Each submission will be reviewed by several PC members who
will judge it based on its innovativeness, appropriateness, and impact
of results in terms of effectiveness at solving real problems.
= Important Dates:
* Abstract Submission Deadline: March 22, 2021 (11:59 pm, Hawaii time)
* Paper Submission Deadline: March 29, 2021 (11:59 pm,Hawaii time)
* Notification of Acceptance: May 17, 2021 (11:59 pm, Hawaii time)
* Camera-Ready Paper: June 06, 2021 (11:59 pm, Hawaii time)
Author instructions: Reviews will be carried out in a single-blind mode.
Long papers should have a maximum length of 15 pages and short papers of
6 pages. Submissions should follow the guidelines of the Springer LNCS
format. The detailed Call for Research and Innovation papers is
available here: https://2021-eu.semantics.cc/calls
== Posters and Demos Track ==
The Posters and Demonstrations Track invites innovative work in
progress, late-breaking research and innovation results, and smaller
contributions in all fields related to the Semantic Web and Linked Data
in a broader sense. These include submissions on innovative applications
with impact on end users, such as demos of solutions that users may test
or that are yet in the conceptual phase but are worth discussing, and
also applications or pieces of code that may attract developers and
potential research or business partners.
= Important Dates:
* Paper Submission Deadline: May 24, 2021 (11:59 pm, Hawaii time)
* Notification of Acceptance: June 21, 2021 (11:59 pm, Hawaii time)
* Camera-Ready Paper: July 05, 2021 (11:59 pm, Hawaii time)
Author instructions: Proceedings are planned to be published via CEUR
Workshop Proceedings and should follow the guidelines of the Springer
LNCS format. The detailed Call for Poster and Demos papers is available
online.
== Industry and Use Case Track ==
Focusing strongly on industry needs and ground breaking technology
trends SEMANTICS invites presentations on enterprise solutions that deal
with semantic processing of data and/or information. A special focus of
Semantics 2019 will be on the convergence of machine learning techniques
and knowledge graphs. Additional topics of interest are Enterprise
Knowledge Graphs, Semantic AI & Machine Learning, Enterprise Data
Integration, Linked Data & Data Publishing, Semantic Search,
Recommendation Services, Thesaurus and/or Ontology Management, Text
Mining, Data Mining and any related fields. All submissions should have
a strong focus on real-world applications beyond the prototypical stage
and demonstrate the power of semantic systems!
= Important Dates:
* Presentation Submission Deadline: April 26, 2021 (11:59 p.m.,Hawaii
time)
* Notification of Acceptance: May 17, 2021 (11:59 p.m., Hawaii time)
* Camera-Ready Presentation: July 26, 2021 (11:59 p.m.,
Hawaii time)
Submit your presentations here:
http://2021-eu.semantics.cc/submission-industry-presentations
== Workshops and Tutorials ==
Workshops and Tutorials at SEMANTiCS 2018 allow your organisation or
project to advance and promote your topics and gain increased
visibility. The workshops and tutorials will provide a forum for
presenting widely recognised contributions and findings to a diverse and
knowledgeable community. Furthermore, the event can be used as a
dissemination activity in the scope of large research projects or as a
closed format for research and commercial project consortia meetings.
= Important Dates for Workshops:
* Proposals WS Deadline: March 01, 2021 (11:59 pm, Hawaii time)
* Notification of Acceptance: March 15, 2021 (11:59 pm, Hawaii time)
= Important Dates for Tutorials (and other meetings, e.g. seminars,
show-cases, etc., without call for papers):
* Proposals Tutorial Deadline: June 07, 2021 (11:59 pm, Hawaii time)
* Notification of Acceptance: June 21, 2021 (11:59 pm,
Hawaii time)
== Special Calls ==
Special calls or sub-topics are dedicated towards specific topics that
are of special interest to the SEMANTiCS community. IN case we receive a
sufficient amount of high quality submissions these topics will become
special tracks within the conference program. For 2021 SEMANTiCS
Amsterdam encourages submissions to the following sub-topics:
* Special Sub-Topic: Digital Humanities and Cultural Heritage
* Special Sub-Topic: LegalTech
* Special Sub-Topic: Distributed and Decentralized Knowledge Graphs
Each sub-topic is managed by a distinct committee and encourages
submissions from the scientific or industrial domain. Scientific
submissions will undergo a thorough review process and will be published
in the conference proceedings in case of acceptance. Industrial
submissions will be evaluated and selected according to the quality
criteria of the industry track. WE are looking forward to your submissions!
== SEMANTiCS 2021 EU Organizing Committee ==
The program committee is announced on the conference website
https://2021-eu.semantics.cc/committee
= Read a detailed description of all available calls online:
https://2021-eu.semantics.cc/calls
== About SEMANTiCS ==
The annual SEMANTiCS EU conference is the meeting place for
professionals who make semantic computing work, understand its benefits,
and encounter its limitations. Every year, SEMANTiCS attracts
researchers and practitioners alike from a wide spectrum of
organisations ranging from universities, non-profit organisations,
public administration bodies, to SMEs and the largest companies in the
world.
SEMANTiCS is bound to continue a long tradition of building bridges
between like minded but often separated communities of interest. To do
so, the conference aims to explore the intersections, benefits and
hurdles of various traditions in artificial intelligence, machine
learning and semantic processing of graph data and information.
SEMANTiCS invites latest scientific research as well as presentations on
industry implementations, use case prototypes and best practices.
The SEMANTiCS program will provide a rich mix of technical talks, panel
discussions on emerging topics and presentations of practical systems by
people who make things work - just like you. In addition, attendees will
have a unique opportunity to network with experts in a variety of
fields. These relationships provide great value to organisations as they
encounter technical challenges in any stage of implementation. The
expertise gained by SEMANTiCS attendees has a long-term impact on their
careers and organisations. These factors make SEMANTiCS the key event
across Europe for a diverse community of industry leaders and academic
experts alike.
Hello,
The next Research Showcase will be live-streamed on Wednesday, December 16,
at 9:30 AM PST/17:30 UTC, and will be on the theme of disinformation and
reliability of sources in Wikipedia. In the first talk, Włodzimierz
Lewoniewski will present recent work around multilingual approaches for the
assessment of content quality and reliability of sources in Wikipedia
leveraging machine learning algorithms. In the second talk, Diego
Saez-Trumper will give an overview of ongoing work on fighting
disinformation in Wikipedia; specifically, the development of tools and
datasets aimed at supporting the discovery of suspicious content and
improving verifiability.
Youtube stream: https://www.youtube.com/watch?v=v9Wcc-TeaEY
As usual, you can join the conversation on IRC at #wikimedia-research. You
can also watch our past research showcases here:
https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase
Talk 1
Speaker: Włodzimierz Lewoniewski (Poznań University of Economics and
Business, Poland)
Title: Quality assessment of Wikipedia and its sources
Abstract: Information in Wikipedia can be edited in over 300 languages
independently. Therefore often the same subject in Wikipedia can be
described differently depending on language edition. In order to compare
information between them one usually needs to understand each of considered
languages. We work on solutions that can help to automate this process.
They leverage machine learning and artificial intelligence algorithms. The
crucial component, however, is assessment of article quality therefore we
need to know how to define and extract different quality measures. This
presentation briefly introduces some of the recent activities of Department
of Information Systems at Poznań University of Economics and Business
related to quality assessment of multilingual content in Wikipedia. In
particular, we
demonstrate some of the approaches for the reliability assessment of
sources in Wikipedia articles. Such solutions can help to enrich various
language editions of Wikipedia and other knowledge bases with information
of better quality.
Talk 2
Speaker: Diego Saez-Trumper (Research, Wikimedia Foundation)
Title: Challenges on fighting Disinformation in Wikipedia: Who has the
(ground-)truth?
Abstract: Different from the major social media websites where the fight
against disinformation mainly refers to preventing users to massively
replicate fake content, fighting disinformation in Wikipedia requires tools
that allows editors to apply the content policies of: verifiability,
non-original research, and neutral point of view. Moreover, while other
platforms try to apply automatic fact checking techniques to verify
content, the ground-truth for such verification is done based on Wikipedia,
for obvious reasons we can't follow the same pipeline for fact checking
content on Wikipedia. In this talk we will explain the ML approach we are
developing to build tools to efficiently support wikipedians to discover
suspicious content and how we collaborate with external researchers on this
task. We will also describe a group of datasets we are preparing to share
with the research community in order to produce state-of-the-art algorithms
to improve the verifiability of content on Wikipedia.
--
Janna Layton (she/her)
Administrative Associate - Product & Technology
Wikimedia Foundation <https://wikimediafoundation.org/>
A job that involves working with Wikidata/Wikimedia data, as Data
Specialist, on behalf of the he Smithsonian American Art Museum (SAAM) and
American Women’s History Initiative (AWHI). More below.
---------- Forwarded message ---------
From: Code4Lib Jobs <jobs(a)code4lib.org>
Date: Sat, Dec 12, 2020 at 3:45 PM
Subject: [CODE4LIB] Job: Data Specialist for Visual Arts and Women’s
History at Smithsonian Institution
To: <CODE4LIB(a)lists.clir.org>
The Smithsonian Institution is seeking a metadata expert and digital
project coordinator with an interest in advancing women’s history research.
The Smithsonian American Art Museum (SAAM) and American Women’s History
Initiative (AWHI) are offering a position for a Data Specialist to provide
coordination and support for the use of digitized art and art-related
collections data with the goal of advancing women’s history research at the
Smithsonian and around the world. The incumbent will coordinate, develop,
and manage the sharing of digital collections data and metadata about women
in the arts Smithsonian museums and research units, working collaboratively
with AWHI and museum staff, and supporting interchange with third-party
platforms such as Wikidata and other Wikimedia projects. Apply by Dec. 18
at https://americanart.si.edu/about/careers/job-data-specialist. Send
questions to SAAM-data-job(a)si.edu.
----
Brought to you by code4lib jobs:
https://jobs.code4lib.org/jobs/46565-data-specialist-for-visual-arts-and-wo…
+++ apologies for cross-postings +++
The Max Planck Institute for Demographic Research (MPIDR) and the Centre for Fertility and Health in Oslo are jointly offering one PhD student position in economic demography. The PhD candidate will spend most of their time in Rostock, Germany, but also regularly travel to Oslo. At the MPIDR, the position will be based in the Research Group Labor Demography<https://www.demogr.mpg.de/en/research_6120/labor_demography_4733/>.
Topic
The PhD candidate will study the social, demographic and health consequences of technology-induced job loss. This endeavor can help to better prepare for and identify contexts and policies that mitigate adverse social and health effects of technology-induced job loss. The project includes examining the consequences of technology-induced displacement, both on individual workers and the wider society, such as families and regions. Within this broad topic, the candidate will have the opportunity to develop their own research agenda and collaborate throughout and beyond the MPIDR.
Potential data sets to be used include Norwegian population registries which contain information on occupation, education, cognitive test performance, health, intergenerational relations as well as physiological and mental health trajectories. Additional, alternative data sources include register-based data from other countries, as well as large-scale survey data.
Successful candidates will be expected to have the following qualifications:
* background in economics, demography, medicine, statistics, epidemiology social sciences or other relevant fields,
* good oral and written presentation skills in English.
* Experience with data processing and statistics, as well as analysis of large data sets is an advantage.
* Competence in relevant statistics programs such as R or STATA is an advantage.
* Being results-oriented and having the ability to work independently.
* Being innovative, flexible, with great working capacity and teamwork skills.
MPIDR is one of the leading demographic centers in the world. It is part of the Max Planck Society, a network of 86 institutes that form Germany’s premier basic-research organization. Max Planck Institutes have an established record of world-class, foundational research in the sciences, technology, social sciences and the humanities. They offer a unique environment that combines the best aspects of an academic setting and a research laboratory.
The admitted student will be expected to take part in the International Max Planck Research School for Population, Health and Data Science (IMPRS-PHDS), a training initiative hosted at MPIDR that merges demography, epidemiology and data science. The IMPRS-PHDS school equips doctoral students not only with advanced knowledge of the theory and methods of demography and epidemiology (broadly defined as ‘population health’), but also with strong technical skills in statistics, mathematical modeling, and computational and data management methods (broadly referred to as ‘data science’). Possible dissertation topics are not limited to health, but cover all areas of demographic research, including mortality, fertility, migration, mathematical and social demography, as well as the impact of population aging on changing life courses, intergenerational transfers, and economic activity within populations. PHDS supports strong interdisciplinary research training and exchange within a network of universities in Europe and the US. The research school offers a core training program in Rostock, extensive networking opportunities across partner sites, and high-quality supervision across at least two institutes. More information on the IMPRS-PHDS curriculum is available on the school’s website at https://www.imprs-phds.mpg.de/.
Applications must be submitted online via https://www.demogr.mpg.de/go/JobAd997784 and include the following documents:
1. Curriculum Vitae
2. Letter of interest (Max 2 pages)
Please state why you are interested in joining MPIDR, how MPIDR could foster your professional development and career trajectory, and in which ways your research interests fit the research strengths of the Research Group on Labor Demography. Please also describe your technical skills, areas of expertise, as well as future research projects.
1. Copies of transcripts of undergraduate and, if applicable, master’s degrees
2. Names and contact information for 2 academic references
3. One writing sample
In order to receive full consideration, applications should be submitted by January 18, 2021. The starting date is flexible, but no later than Spring 2021. Successful applicants will be offered a 3-year contract at 50% FTE with remuneration based on the salary grade E13 (approx. 25,000 € annual gross income) of the German public sector (Öffentlicher Dienst, TVöD Bund).
The Max Planck Society offers a broad range of measures to support the reconciliation of work and family. These are complemented by the MPIDR’s own initiatives. For more information, see: https://www.demogr.mpg.de/go/work-family.
In addition, there are a range of central initiatives and measures primarily geared towards helping young female researchers and mothers to advance their career. See the link below for some examples: https://www.demogr.mpg.de/go/career-development.
The Max-Planck Society is committed to increasing the number of individuals with disabilities in its
workforce and therefore encourages applications from such qualified individuals. Our Institute and the Max Planck Society also seek to increase the proportion of women in areas where they are underrepresented and therefore explicitly encourage women to apply.
For inquiries about the position, please contact Peter Eibich at eibich(a)demogr.mpg.de<mailto:eibich@demogr.mpg.de> or Vegard Skirbekk at Vegard.Skirbekk(a)fhi.no<mailto:Vegard.Skirbekk@fhi.no>.
MERRY CHRISTMAS everyone
----------
This mail has been sent through the MPI for Demographic Research. Should you receive a mail that is apparently from a MPI user without this text displayed, then the address has most likely been faked. If you are uncertain about the validity of this message, please check the mail header or ask your system administrator for assistance.
Hi all,
We have an opening for a 3-year postdoc at King's College London on Knowledge Graphs for Music and its cultural context. The position is funded by the upcoming EU H2020 awarded project Polifonia.
See further details below. Please apply by *5 Jan 2021* at https://jobs.kcl.ac.uk/gb/en/job/011327/Research-Associate-in-Informatics <https://jobs.kcl.ac.uk/gb/en/job/011327/Research-Associate-in-Informatics>
Forward any questions to: albert.merono(a)kcl.ac.uk <mailto:albert.merono@kcl.ac.uk>
I would very much appreciate if you could help advertise the call via your networks and on Twitter: https://twitter.com/albertmeronyo/status/1337291026537488384 <https://twitter.com/albertmeronyo/status/1337291026537488384>
Best regards,
Albert
Job description
============
We are seeking to appoint a postdoctoral research fellow with an excellent track record in Knowledge Graphs (KG). Topics of interest in this area include, but are not limited to, semantic web, ontology engineering, automated KG construction, reasoning, link discovery & KG completion, efficient KG storage, and KG access (APIs). The successful candidate will contribute to Polifonia, a collaborative project between King’s College London and 10 other European partners, funded by the European Commission (H2020). The successful candidate will join the Distributed AI (DAI) group and the Trusted Autonomous Systems (TAS) Hub in the Department of Informatics, King’s College London.
The goal of Polifonia is to realise an ecosystem of computational methods and tools supporting discovery, extraction, encoding, interlinking, classification, exploration of, and access to, musical heritage knowledge on the Web. European musical heritage is a dynamic historical flow of experiences, leaving heterogeneous traces that are difficult to capture, connect, access, interpret, and valorise. Computing technologies have the potential to shed a light on this wealth of resources by extracting, materialising and linking new knowledge from heterogeneous sources, hence revealing facts and experiences from hidden voices of the past. Polifonia makes this happen by building novel ways of inspecting, representing, and interacting with digital content. Polifonia focuses on European Musical Heritage, intended as musical contents and artefacts - or music objects - (tunes, scores, melodies, notations, etc.) along with relevant knowledge about them such as: their links to tangible objects (theatres, conservatoires, churches, etc.), their cultural and historical contexts, opinions and stories told by people having diverse social and artistic roles (scholars, writers, musicians, politicians, journalists, etc), and facts expressed in different styles and disciplines (memoire, reportage, news, biographies, reviews), different languages (English, Italian, French, Spanish, and German), and across centuries.
The post holder will work closely with dr. Albert Meroño Peñuela, the co-investigator, and project partners at the Open University (dr. Enrico Daga) and the University of Bologna (prof. Valentina Presutti). The candidate will play a leading role in developing and testing, with a focus on European musical heritage: ontologies and KG for music objects; methods for KG construction, completion and linking; and methods for KG storage and access (APIs). The candidate will also support partners in designing ontologies and KG for musical contexts, licensing and ownership (i.e. provenance). The candidate is also expected to participate in the project pilots and scientific reporting (papers and deliverables).
Key responsibilities
===============
The post holder will work closely with dr. Albert Meroño Peñuela, the co-investigator, and project partners at the Open University (dr. Enrico Daga) and the University of Bologna (prof. Valentina Presutti). The candidate will play a leading role in developing and testing, with a focus on European musical heritage: ontologies and KG for music objects; methods for KG construction, completion and linking; and methods for KG storage and access (APIs). The candidate will also support partners in designing ontologies and KG for musical contexts, licensing and ownership (i.e. provenance). The candidate is also expected to participate in the project pilots and scientific reporting (papers and deliverables).
- Lead the development of methods, software and datasets that fulfil the goals and requirements as specified in the project
- Support the project partners in fulfilling their goals and requirements as specified in the project
- Communicate the scientific achievements in project deliverables and scientific papers, engaging in advanced research
- Undertake any other reasonable duties that may be requested by the co-investigator
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.
Skills, knowledge, and experience
==========================
Essential criteria
- a PhD awarded in Computer Science or related subject [or near completion]
- Semantic web
- Ontology engineering
- Automated KG construction
- Reasoning
- Link discovery & KG completion
- Embedding-based KG methods
- Efficient KG storage
- KG access methods and APIs
Desirable criteria
- Knowledge of the domain of European musical heritage
- Knowledge of Italian, French, Spanish, or German (in addition to English)