I wanted to let you know that we just published the plan of the Wikidata
development team for Wikidata and Wikibase for the first quarter of 2022!
Here are some highlights for 2022:
In 2022 we will continue developments to help editors increase the quality
of Wikidata’s existing data and contribute new high-quality data. Among the
initiatives is to build up feedback loops with data re-users to get them
more actively involved in improving the data on Wikidata.
We will be improving Special:NewLexeme
<https://www.wikidata.org/wiki/Special:NewLexeme> to make it easier for
editors to create new Lexemes. More people need access to knowledge and
technology presented in their own language and we believe that language
data is a fundamental building block in reaching that goal.
More people should benefit from the data Wikidata provides. We will be
releasing the new REST API to make it easier for programmers to access our
On the Wikibase side of things, we want to enable more projects with fewer
resources to be able to independently onboard themselves into the Wikibase
Ecosystem. We will be launching Wikibase.cloud, offering Wikibase as a
Service. It will be based on the code used to run WBStack but will be
managed and maintained by Wikimedia Deutschland.
We are also conducting market research, to get a better understanding how
organizations that could provide valuable data for the ecosystem are taking
decisions when it comes to choosing a software.
In addition, we’ve also published a status update
about what was achieved for each of the 2021 development goals.
Please note that the development plan only presents the main projects that
the development team will work on during the first quarter of 2022.
Development may continue for some of these projects beyond that period.
Critical and ongoing tasks (e.g. maintenance of the software and fixing
pressing bugs) are not mentioned, but will be included in the workflow over
the year. At the beginning of each quarter the roadmap will be updated to
include the development estimates for that quarter. We will be sending
notifications on our usual communication channels upon each update.
If you have any questions or feedback, feel free to add them on this talk
page: Wikidata talk:Development plan
*Community Communications Manager for Wikidata/Wikibase*
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0)30 219 158 26-0
Keep up to date! Current news and exciting stories about Wikimedia,
Wikipedia and Free Knowledge in our newsletter (in German): Subscribe now
Imagine a world in which every single human being can freely share in the
sum of all knowledge. Help us to achieve our vision!
Wikimedia Deutschland – Gesellschaft zur Förderung Freien Wissens e. V.
Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter
der Nummer 23855 B. Als gemeinnützig anerkannt durch das Finanzamt für
Körperschaften I Berlin, Steuernummer 27/029/42207.
As many of you already know, one of the Search team’s priorities this year
is scaling Wikidata Query Service (WDQS). Specifically, this conversation
has centered around the need to move off of the Blazegraph backend that
WDQS currently uses.
As part of this process, we want to get input/feedback from our community
of users, and better understand some of the use cases and needs you have.
As mentioned in our Jan 2022 scaling update
Andrea Westerinen <https://wikitech.wikimedia.org/wiki/User:AndreaWest> has
joined our team as a Contract Graph Consultant, and this provides an
opportunity to meet her (and others on the WMF Search team working on WDQS)
and give us direct feedback about your needs.
There will be 2 feedback sessions (more information on each session below)
that you are welcome and encouraged to join:
1. *WDQS scaling community meeting 1/2: SPARQL query features*
- Thursday, February 17 · 18:00 UTC
Video call link: https://meet.google.com/beu-fxov-etm
Or dial: (US) +1 413–341–4301 PIN: 108 765 815#
2. *WDQS scaling community meeting 2/2: RDF store backend needs*
- Monday, February 21 · 18:00 UTC
Video call link: https://meet.google.com/skc-enqb-bpr
Or dial: (US) +1 601–803–2313 PIN: 499 480 133#
The purpose of these meetings is primarily to facilitate meeting each
other, and to gather requirements and use cases around WDQS — while this
information will be used to plan future scaling, no decisions will be made
during the meetings themselves.
While we have a rough outline of the topics we intend to cover in each
meeting, we also welcome relevant feedback that may not be covered below,
though we encourage and prioritize ideas that are also valuable to others.
We ask that you please be mindful of allowing others to express their
thoughts and perspectives, and helping facilitate a constructive
As always, thanks for your time, energy and patience, and look forward to
seeing you in a couple of weeks!
Meeting details WDQS scaling community meeting 1/2: SPARQL query features
SPARQL is a power querying language, and is the endpoint to access
information on Wikidata. The flexibility and power of SPARQL also makes it
possible for WDQS to be strained from complex/computationally expensive
queries, affecting all users. In considering how to balance the usability
of SPARQL and limitations on it that can help service reliability, we want
to have a better understanding of what SPARQL features you most frequently
use and/or are most important to you, and what the frequency of use is.
The following list of features indicates most of the SPARQL features of
interest, but is not exhaustive, and anything else that comes to mind is
- Query forms (SELECT, ASK, DESCRIBE and/or CONSTRUCT)
- Queried entities
- Is your focus primarily on people, places, scholarly articles,
areas of science, … or is it varied?
- Query patterns (example queries would be appreciated)
- Do you have constant subjects, predicates or objects? (Meaning that
you know their values when you define the query)
- Do you use property paths (e.g., a series of properties connected
in sequence or as alternatives, inverted predicates, etc.)?
- Do you use FILTERs, OPTIONALs, UNIONs, …?
- For FILTERS, do you use regex or mathematical functions? Do you
use EXISTS, NOT EXISTS or MINUS? Do you use SPARQL functions (such as
logical functions like if/and/or/…, string functions like
functions like year, …)?
- Do you use aggregations (such as GROUP BY)?
- Do you ORDER results?
- SERVICEs (such as labels, GAS or date processing)
- Federated endpoints (such as DBPedia, the Getty vocabularies, Lingua
WDQS scaling community meeting 2/2: RDF store backend needs
In addition to SPARQL query features, we are interested in knowing more
about what functionality is important to you from an RDF store and SPARQL
endpoint. For example, many you reported in the August 2021 WDQS user
survey that the 60 second timeout limit was a top priority. This meeting
will be about discussing how scaling the backend engineering of WDQS can be
most valuable to your interests and needs. Other possible topics
(non-exhaustive) may include:
- update speeds
- instrumentation and monitoring capabilities
- query tuning
- custom SPARQL extensions
- geospatial support
- support for other query languages
- support for inference/reasoning
*Mike Pham* (he/him)
Sr Product Manager, Search
Wikimedia Foundation <https://wikimediafoundation.org/>
I hope this mail finds you well in this trying times.
Over the last month I invested some time and put a little project
together for personal purpose. Long story short it is a small
Wikidata/Wikibase App for Android.
Currently it has similar capabilities to Termbox of the Webfrontend -
add a new Item, searching for an Item, editing an Item, etc.
The App is build in manner that it should be relatively easy to adapt it
for any instances of Wikibase.
Everything is written in Kotlin and the data layer is forged in a way
to facilitate Kotlin Multiplatform and after turning some screws to
support a given platform. This means writing an App for iOS with the
similar capabilities or a Desktop App would be much easier. For myself I
do not have a stable access to a Mac, otherwise I would made an iOS App
as well right away.
However the user journey is still bumpy, since parts are missing like
loading bars and so on. Also the App only allows users to proceed
without login. Also multi-language support of the UI is missing and the
design needs a lot more love (like bring up a proper color system for
theming). Summa summarum please consider it as an early alpha or an very
very late prototype.
I made a little screen cast which you can find in the endnotes. If
you wish to try it out yourself, you can go ahead. But please be
aware even if the packages are tightly tested, I have currently only one
real device to test it on and emulators do not always tell the truth, so
expect app crashes (even there should be none). Also the App is
currently hooked against the test instance of Wikidata, so anything
you do will not propagated to main instance of Wikidata and you will not
be able to retrieve data from there.
So why I am writing? Well, I would like to know, if the community has
interest in such a thing - an App for Wikidata/Wikibase. Anything else
can wait until this question is answered, since it will cost time to
bring it into a publishable state. Please consider this would give the
opportunity the obtain access to the sensors of a mobile device like
geolocation, camera, etc and make them usable by Wikibase/Wikidata.
If the community sees the value in this little project, I also like to
ask for support/if there are people who are willing to embark on this
I hope you have a pleasant rest of the day.
--- Please forward to anyone who might be interested ---
--- Apologies for cross-posting ---
# **30th ACM Conference on User Modeling, Adaptation and Personalization
Barcelona*, Spain, July 4–7, 2022
(*) Due to the ongoing COVID-19 pandemic, we are planning for a hybrid
conference and will accommodate online presentations where needed.
- Abstracts due: *February 10, 2022* (mandatory)
- Full paper due: February 17, 2022
**BACKGROUND AND SCOPE**
**ACM UMAP** – ***User Modeling, Adaptation and Personalization*** – is
the premier international conference for researchers and practitioners
working on systems that adapt to individual users or to groups of users,
and that collect, represent, and model user information. **ACM UMAP** is
sponsored by ACM SIGCHI (https://sigchi.org) and SIGWEB
(https://www.sigweb.org), and organized with User Modeling Inc.
(https://um.org) as the core Steering Committee, extended with past
years’ chairs. The proceedings are published by the **ACM** and will be
part of the ACM Digital Library (https://dl.acm.org).
**ACM UMAP** covers a wide variety of research areas where
personalization and adaptation may be applied. The main theme of **UMAP
2022** is ***“User control in personalized systems”***. Specifically, we
welcome submissions related to user modeling, personalization, and
adaptation in all areas of personalized systems, with an emphasis on how
to balance adaptivity and user control. Below we present a short (but
not prescriptive) list of topics of importance to the conference.
ACM UMAP is co-located and collaborates with the ACM Hypertext
conference (https://ht.acm.org/ht2022/). UMAP takes place one week after
Hypertext, and uses the same submission dates and formats. We expect
authors to submit research on personalized systems to UMAP and invite
authors to submit their Web-related work without a focus on
personalization to the Hypertext conference. The two conferences will
organize one shared track on **personalized recommender systems** (same
track chairs and PC, see the track description).
- Paper Abstracts: February 10, 2022 (mandatory)
- Full paper: February 17, 2022
- Notification: April 11, 2022
- Conference: July 4-July 7, 2022
**Note**: The submissions deadlines are at 11:59pm AoE time (Anywhere on
We welcome submissions related to *user modeling, personalization, and
adaptation in any area*. The topics listed below are not intended to
limit possible contributions. **Detailed descriptions and the suggested
topics for each track are reported in the online version of the CFP on
the UMAP 2022 web site.**
### **Personalized Recommender Systems***
**Track Chairs: Osnat Mokryn (University of Haifa), Eva Zangerle
(University of Innsbruck, Austria) and Markus Zanker (University of
Bolzano, Italy, and University of Klagenfurt, Austria)**
(*) This is a joint track between ACM UMAP and ACM Hypertext (same track
chairs, overlapping PC). Authors planning to contribute to this track
can submit to either conference, depending on their broader interest in
either Hypertext or UMAP. Track chairs organize a special issue in the
journal New Review of Hypermedia and Multimedia.
This track aims to provide a forum for researchers and practitioners to
discuss open challenges, latest solutions and novel research approaches
in the field of recommender systems. In addition to mature research
works addressing technical aspects pertaining to recommendations, we
also particularly welcome research contributions that address questions
related to the user perception and the business value of recommender
### **Adaptive Hypermedia, Semantic, and Social Web**
**Track Chairs: Alexandra I. Cristea (Durham University, UK) and Peter
Brusilovsky (University of Pittsburgh, US)**
This track aims to provide a forum to researchers to discuss open
research problems, solid solutions, latest challenges, novel
applications, and innovative research approaches in adaptive hypermedia,
semantic and social web. We invite original submissions addressing all
aspects of personalization, user models building, and personal
experience in online social systems.
### **Intelligent User Interfaces**
**Track chairs: Elisabeth Lex (Graz University of Technology, Austria)
and Marko Tkalcic (University of Primorska, Slovenia)**
This topic can be characterized by exploring how to make the interaction
between computers and people smarter and more productive, which may
leverage solutions from human-computer interaction, data mining, natural
language processing, information visualization, and knowledge
representation and reasoning.
### **Technology-Enhanced Adaptive Learning**
**Track chairs: Judy Kay (University of Sydney, Australia) and Sharon
Hsiao (Santa Clara University, US)**
This track invites researchers, developers, and practitioners from
various disciplines to present their innovative learning solutions,
share acquired experience, and discuss their modeling challenges for
personalized adaptive learning.
### **Fairness, Transparency, Accountability, and Privacy**
**Track chairs: Bamshad Mobasher (DePaul University College of Computing
and Digital Media, US) and Munindar P. Singh (NC State University, US)**
Adaptive systems researchers and developers have a social responsibility
to care about the impact of their technologies on individual people
(users, providers, and other stakeholders) and on society. This track
invites work that pertains to the science of building, maintaining,
evaluating, and studying adaptive systems that are fair, transparent,
respectful of users’ privacy, and beneficial to society.
### **Personalization for Persuasive and Behavior Change Systems**
**Track chairs: Julita Vassileva (University of Saskatchewan, Canada)
and Panagiotis Germanakos (SAP SE, Germany)**
This track invites original submissions addressing the areas of
personalization and tailoring for persuasive technologies, including but
not limited to personalization models, user models, computational
personalization, design and evaluation methods, and personal experience
designing personalized and adaptive behaviour change technologies.
### **Virtual Assistants and Personalized Human-robot Interaction**
**Track chairs: Radhika Garg (Syracuse University, US) and Cristina Gena
(University of Torino, Italy)**
This track aims at investigating new models and techniques for the
adaptation of synthetic companions (e.g., virtual assistants, chatbots,
social robots) to the individual user.
### **Research Methods and Reproducibility**
**Track chairs: Odd Erik Gundersen (Norwegian University of Science and
Technology, Norway) and Dietmar Jannach (University of Klagenfurt,
This track accepts works on methodologies for the evaluation of
personalized systems, benchmarks, measurement scales, with particular
attention to reproducibility of results and of techniques.
**SUBMISSION AND REVIEW PROCESS**
Please consult the conference website for the submission link:
The maximum length is **14 pages (excluding references) in the ACM new
single-column format**. We encourage papers of any length up to 14
pages; reviewers will be asked to comment on whether the length is
appropriate for the contribution.
**Additional review criteria are available in the online version of the
CFP on the UMAP 2022 web site.**
Each accepted paper will be included in the conference proceedings and
presented at the conference.
UMAP uses a **double blind** review process. Authors must omit their
names and affiliations from submissions, and avoid obvious identifying
statements. For instance, citations to the authors' own prior work
should be made in the third person. Failure to anonymize your submission
results in the desk-rejection of your paper.
- Ludovico Boratto, University of Cagliari, Italy
- Alejandro Bellogín, Universidad Autónoma de Madrid, Spain
- Olga C. Santos, Spanish National University for Distance Education, Spain
- Liliana Ardissono, University of Torino, Italy
- Bart Knijnenburg, Clemson University, US
Separate calls will be sent for Workshops, Doctoral Consortium, and
Demo/Late-Breaking Results, as these have different deadlines and
University of Duisburg-Essen
Interactive Systems Group
Room LF 288, Forsthausweg 2, 47057 Duisburg, GERMANY
helma.torkamaan(a)uni-due.de / +49 203 379-2276
Please excuse cross postings.
Atkins Library at UNC Charlotte is accepting applications for our Atkins
Fellows summer program. *Applications submitted by February 7, 2022 will
receive first consideration*. These fellowships are designed to give LIS
students hands-on experience in an academic library.
The Atkins Fellows program <http://library.charlotte.edu/atkinsfellows/> is
a ten-week paid summer fellowship for students at the mid-point of their
Library, Archives, or Information Science degree program, or those within
one year of having completed such a program. The program is designed to
provide fellows with a work experience that is focused on
professional-level tasks, with high levels of independence and creativity.
The three projects proposed for 2022 include library work with digital
humanities, open access, and wikidata. Fellows will also have the
opportunity to attend workshops, job talks, and conferences, as well as job
shadow and participate in library meetings. Through this experience, Fellows
will learn about the operations of an academic library, better preparing
them for work opportunities in the profession. Participants in this program
will receive a $8,000 stipend, paid at an hourly rate ($20/hour, for ten
weeks of forty hours per week). This year, we are excited to be able to
offer program participants an additional $1500 housing and transportation
stipend to help with the cost of moving to Charlotte for the summer.
Want to learn more about the program? Visit our website
<http://library.charlotte.edu/atkinsfellows/> and watch a recording of a
recent informational session hosted by the program coordinator (also
accessible from our website).
Please follow us on Twitter @atkinsfellow <https://twitter.com/atkinsfellow>
for program updates, and email the program coordinator, Amanda Binder (
abinder3(a)uncc.edu) with any questions.
About UNC Charlotte and Charlotte, NC
With current enrollment at nearly 30,000, UNC Charlotte is the fastest
growing campus in the UNC system, and Charlotte is one of the fastest
growing cities in the United States. Participating fellows will be able to
enjoy an extension to our light rail system
<https://lightrail.charlotte.edu/> that will transport you from the
university to many of the most popular neighborhoods in the city. As North
Carolina’s urban research university, we provide access to all of the
amenities expected of a city, including sports and music venues, museums
and galleries, restaurants, coffee shops, and breweries, while still within
driving distance to the mountains and the ocean. This is an exciting time
to live in Charlotte and work at Atkins Library and we hope you will
consider joining us this summer!
Wikidata Fellow - Apply Now <https://jobs.charlotte.edu/postings/38760>
Wikidata, a freely available platform for creating and publishing linked,
open data on the web, is increasingly used in academic libraries as an
identity management and authority control tool that supplements traditional
methods of managing data about people, places, topics, and library
collections. Having created thousands of Wikidata items for UNC Charlotte
faculty members, electronic theses and dissertations, and local people and
places as a participant in the PCC Wikidata Pilot project
2020-2021, Atkins Library now seeks to integrate Wikidata as an ongoing
component of its metadata operations. The Atkins Wikidata Fellow will
assist in developing and expanding Atkins Library’s Wikidata program by
creating workflows for batch processing of Wikidata, using automated tools
to ingest and edit Wikidata, and performing outreach to constituencies
within Atkins and beyond who may be interested in contributing to the
initiative. The focus of the program will be materials from Special
Collections and University Archives and names data.
The Fellow in this position will gain expertise in using this free and open
knowledge base that is rapidly becoming ubiquitous in academic libraries,
hands-on experience in creating linked data and designing metadata
workflows, and familiarity with tools and techniques for batch processing
Wikidata. They will also develop an understanding of Wikidata’s
relationship to other technical services’ workflows in academic libraries
such as metadata creation and authority control, which it supplements and
extends. The experience will prepare the Fellow for a variety of positions
in cataloging, metadata, digital initiatives, and archives and special
Preferred Education/Training, Experience, Skills/Competencies:
- Interest in and experience or coursework in cataloging and metadata,
authority control, archives and special collections
- Aptitude for finely-detailed work
- Ability to learn and use new technologies
- Familiarity with spreadsheets, OpenRefine, and scripting languages
would be helpful, but training will be offered
Duties and Responsibilities:
- Develop, expand, and accelerate Atkins Library’s Wikidata program by
creating workflows for batch processing of Wikidata using automated tools
such as QuickStatements and OpenRefine to ingest and edit Wikidata and
performing outreach to constituencies within Atkins and beyond who may be
interested in contributing to the initiative.
- Migrate legacy personal and corporate names data to a new locally
hosted Wikibase instance and assist partner institutions in contributing
their own name data.
- Assist with developing a data model for Atkins names and mapping
Wikibase properties to standard Wikidata properties.
- Experiment with ingesting data into Wikibase with QuickStatements and
- Devise and document workflows and properties for ingesting new data
and maintaining/editing data.
*Workshop on Modular Knowledge (1st edition), co-located with ESWC 2022*
*Second Call for Papers*
We invite submissions to the 1st Workshop on Modular Knowledge (MK2022), to be held in conjunction with the Extended Semantic Web Conference (ESWC) that will take place in Hersonissos (Greece) from May 29 to June 2, 2022.
The Modular Knowledge workshop offers an interdisciplinary venue for discussing and developing solutions for modularity of knowledge: the dramatic increase in the amount of open and linked data and the increasing semantification of such data make clear that knowledge is not monolithic, static or uniform, and that there is a need of methods and tools for dealing with heterogeneous and distributed knowledge as a constellation of modules.
The workshop aims to cover and establish connections between various approaches (ranging from rich semantic representations, like Knowledge Graphs and formal ontology, to simpler schemas, like RDF and database schemas) for representing knowledge, its context, its evolution, and for making it accessible to automatic reasoning and knowledge management tasks. We welcome approaches that make use of logic-based, subsymbolic, or numerical representations.
Modular Knowledge is a full-day workshop consisting of full paper and short/position paper presentations, a lightning talk session, an interactive session between pairs of participants randomly selected, and an open discussion between all participants.
Abstract submission deadline (for full or short papers): February 21, 2022
Paper submission deadline: February 28, 2022
Paper notification: March 28, 2022
Camera-ready version: April 11, 2022
Submission deadline for lightning talks: May 8, 2022
Workshop date: May 29, 2022
We seek contributions on all aspects of modularity in data, information and knowledge, including:
Theoretical and cognitive aspects of modularity
Languages for capturing modularity
Modularity in knowledge graphs, linked data and ontologies (conceptual as well as formal)
Modules and modularity at all stages of knowledge engineering, including during modeling and design, formalization, verification, and use (for querying, reasoning and other purposes)
Extracting and computing modules from knowledge and data sources
Merging, aligning, integrating, and matching of data and knowledge via modules
Versioning and evolution of modules and modular knowledge
Reasoning and representing knowledge in context
We invite the submission of original research results and proposed research directions related to the focus areas of the workshop, in one of the three categories given below:
* Full papers (up to 12 pages including references) with mature work and established results, including research reports and surveys
Short/position papers (up to 6 pages including references) presenting proposed research directions, new open issues, ideas and challenges, positions and opinions on the status of the field
* Lightning talk abstracts (up to 500 words) with a position statement, a challenge, a project, a tool, a team, a paper/poster/demo presented at the main conference, related to the topics of the workshop
All papers must be formatted using the Springer LNCS style and submitted non-anonymously in PDF via EasyChair at this link: https://easychair.org/conferences/?conf=mk2022
Accepted full and short papers will be published in the workshop proceedings. Accepted lightning talks abstracts will be made available from the workshop website.
The best papers from each workshop may be included in the supplementary proceedings of ESWC 2022, which will appear in the Springer LNCS series.
Further information about paper publication will be soon available at the workshop website.
Loris Bozzato (Fondazione Bruno Kessler)
Valentina Anita Carriero (University of Bologna)
Torsten Hahmann (University of Maine)
Antoine Zimmermann (École des Mines de Saint-Étienne)
* Web: https://mk2022.fbk.eu/
* Mail: mk2022(a)easychair.org<mailto:firstname.lastname@example.org>