Wiki-research-l December 2020

wiki-research-l@lists.wikimedia.org

18 participants
14 discussions

Wikipedia Research policy
by song＠cs.umn.edu 14 Jul '23

14 Jul '23

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

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Requesting access to deleted pages for research purposes
by Mackenzie Lemieux 02 Feb '21

02 Feb '21

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

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Me
by smontgomery＠megaputer.com 05 Jan '21

05 Jan '21

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

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Interesting Wikipedia studies
by Eric Luth 04 Jan '21

04 Jan '21

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

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Upcoming Research Newsletter: New Papers Open For Review (December 2020)
by Mohammed Sadat Abdulai 24 Dec '20

24 Dec '20

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>

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1st CfP: SEMANTiCS 2021 EU || Sep 6 - 9, 2021 || Amsterdam, The Netherlands
by Sebastian Hellmann 17 Dec '20

17 Dec '20

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.

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[Wikimedia Research Showcase] December 16, 2020: Disinformation and Reliability of Sources in Wikipedia
by Janna Layton 16 Dec '20

16 Dec '20

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/>

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Fwd: [CODE4LIB] Job: Data Specialist for Visual Arts and Women’s History at Smithsonian Institution
by Jodi Schneider 13 Dec '20

13 Dec '20

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…

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PhD Student in Labor Demography
by MPIDR - Career 11 Dec '20

11 Dec '20

+++ 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.

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Postdoc position on Knowledge Graphs for Music & cultural context
by Albert Meroño Peñuela 11 Dec '20

11 Dec '20

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)

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Wiki-research-l December 2020