Apologies for cross-posting. The full release description including
further statistics can be found on
https://www.dbpedia.org/blog/snapshot-2021-09-release/
<https://www.dbpedia.org/blog/snapshot-2021-09-release/>.
We are pleased to announce immediate availability of a new edition of
the free and publicly accessible SPARQL Query Service Endpoint and
Linked Data Pages, for interacting with the new Snapshot Dataset.
News since DBpedia Snapshot 2021-06
<https://www.dbpedia.org/blog/snapshot-2021-06-release/>
*
Release notes are now maintained in the Databus Collection
(https://databus.dbpedia.org/dbpedia/collections/dbpedia-snapshot-2021-09
<https://databus.dbpedia.org/dbpedia/collections/dbpedia-snapshot-2021-09>)
*
Image and Abstract Extractor was improved
*
Work in progress: Smoothing the community issue reporting and
fixing at Github
(https://github.com/dbpedia/extraction-framework/issues/new/choose
<https://github.com/dbpedia/extraction-framework/issues/new/choose>)
What is the “DBpedia Snapshot” Release?
Historically, this release has been associated with many names: "DBpedia
Core", "EN DBpedia", and — most confusingly — just "DBpedia". In fact,
it is a combination of —
*
EN Wikipedia data— A small, but very useful, subset (~ 1 Billion
triples or 14%) of the whole DBpedia extraction
<https://link.springer.com/chapter/10.1007/978-3-030-59833-4_1>using
theDBpedia Information Extraction Framework
<https://github.com/dbpedia/extraction-framework>(DIEF), comprising
structured information extracted from the English Wikipedia plus
some enrichments from other Wikipedia language editions, notably
multilingual abstracts in ar, ca, cs, de, el, eo, es, eu, fr, ga,
id, it, ja, ko, nl, pl, pt, sv, uk, ru, zh.
*
Links— 62 million community-contributed cross-references and
owl:sameAs links to other linked data sets on the Linked Open Data
(LOD) Cloud that allow to effectively find and retrieve further
information from the largest, decentral, change-sensitive knowledge
graph on earth that has formed around DBpedia since 2007.
*
Community extensions— Community-contributed extensions such as
additional ontologies and taxonomies.
Release Frequency & Schedule
Going forward, releases will be scheduled for the 15th of February, May,
July, and October (with +/- 5 days tolerance), and are named using the
same date convention as the Wikipedia Dumps that served as the basis for
the release. An example of the release timeline is shown below:
September 6–8
Sep 8–20
Sep 20–Oct 10
Oct 10–20
Wikipedia dumps for June 1 become available on
https://dumps.wikimedia.org/ <https://dumps.wikimedia.org/>
Download and extraction with DIEF
Post-processing and quality-control period
Linked Data and SPARQL endpoint deployment
Data Freshness
Given the timeline above, the EN Wikipediadata of DBpedia Snapshot has a
lag of 1-4 months.
Further Information
Growth of DBpedia, breakdown of links by domain, download instructions
and some tips on how to effectively work with DBpedia are published as
part of this blog post:
https://www.dbpedia.org/blog/snapshot-2021-09-release/
<https://www.dbpedia.org/blog/snapshot-2021-09-release/>
Stay tuned and stay safe!
With kind regards,
The DBpedia Association
The Journal of Web Semantics (JWS) invites submissions for a special
issue on Community-based Knowledge Bases and Knowledge Graphs, edited by
Tim Finin, Sebastian Hellmann, David Martin, and Elena Simperl. (contact
email: cbkb(a)cs.umbc.edu <mailto:cbkb@cs.umbc.edu>) Submissions are due
by November 01, 2021. Please see the JWS post here:
http://www.websemanticsjournal.org/2021/06/cfp-community-based-knowledge-ba…
<http://www.websemanticsjournal.org/2021/06/cfp-community-based-knowledge-ba…>
Introduction
Community-based knowledge bases (KBs) and knowledge graphs (KGs) are
critical to many domains. They contain large amounts of information,
used in applications as diverse as search, question-answering systems,
and conversational agents. They are the backbone of linked open data,
helping connect entities from different datasets. Finally, they create
rich knowledge engineering ecosystems, making significant, empirical
contributions to our understanding of KB/KG science, engineering, and
practices. From here forward, we use "KB" to include both knowledge
bases and knowledge graphs. Also, "KB" and "knowledge" encompass both
ontology/schema and data.
Community-based KBs come in many shapes and sizes, but they tend to
share a number of commonalities:
*
They are created through the efforts of a group of contributors,
following a set of agreed goals, policies, practices, and quality norms.
*
They are available under open licenses.
*
They are central to knowledge-sharing networks bringing together
various stakeholders.
*
They serve the needs of a community of users, including, but not
restricted to, their contributor base.
*
Many draw their content from crowdsourced resources (such as
Wikipedia, OpenStreetMap).
Examples of community-based KBs include Wikidata, DBpedia, ConceptNet,
GeoNames, FrameNet, and Yago. This special issue will highlight recent
research, challenges, and opportunities in the field of community-based
KBs and the interaction and processes between stakeholders and the KBs.
We welcome papers on a wide variety of topics. Papers that focus on the
participation of a community of contributors are especially encouraged.
Topics of interest
We are looking for studies, frameworks, methods, techniques and tools on
topics such as the following:
*
The impact of community involvement on characteristics of KBs such
as requirements, design, technology choices, policies, etc. For
example, how are KB characteristics driven by the community and
reflective of the community's needs?
*
Conversely, the impact of KB characteristics on community
involvement. For example, how do changes in these characteristics
affect the participation and behavior of members of the community?
*
Organizational challenges and solutions in developing and managing
community-based KBs.
*
Technical challenges and solutions in community-based KBs,
concerning a technical area such as:
o
Representation of knowledge and logical foundations
o
Reasoning, querying, and constraint-checking
o
Knowledge acquisition
o
Knowledge preparation (e.g., cleaning, deduplication, alignment,
merging)
o
Maintaining consistency with external sources
o
Representing and managing metadata (including issues involved in
adding metadata to relation instances)
o
Provenance
o
Quality assurance
*
User interfaces and experience, both for contributing to the KB and
using it, by different user groups.
*
Implemented metrics and quality tests to guide the community in
improving KG quality and expanding KG coverage.
*
Achieving and managing knowledge diversity, for instance, in the
form of multilinguality, multi-cultural coverage, multiple points of
view, and a diverse and inclusive contributor base.
*
Detecting and avoiding malicious, inappropriate, and misleading
content in community-based KBs.
*
Biases in community-based KBs and their impact on downstream uses of
KB content.
*
Community-based KBs in science, medicine, law, government, or other
domains.
*
Handling specialized types of knowledge (such as commonsense,
probabilistic, or linguistic knowledge) in a community setting.
*
Methods and tools to manage KB evolution, including change
detection, change management, conflict resolution, visualization of
change history.
*
Tools and affordances supporting community or collaborative
activities, including discussions, feedback, decision making, task
allocation, etc.
*
Motivations and incentives affecting community participation.
*
Approaches and metrics for community health, including but not
restricted to community growth or diversity.
*
Roles and participation profiles in communities building and
maintaining KBs.
*
Frameworks and approaches to support group decision-making and
resolve conflicts.
Types of Papers
We invite submission of Research, Survey, Ontology, and System papers,
according to the guidelines given at https://www.jws-volumes.com
<https://www.jws-volumes.com/>.
Submission Guidelines
The Journal of Web Semantics solicits original scientific contributions
of high quality. Following the overall mission of the journal, we
emphasize the publication of papers that combine theories, methods and
experiments from different subject areas in order to deliver innovative
semantic methods and applications. The publication of large-scale
experiments and their analysis is also encouraged to clearly illustrate
scenarios and methods that introduce semantics into existing Web
interfaces, contents and services.
Submission of your manuscript is welcome provided that it, or any
translation of it, has not been copyrighted or published and is not
being submitted for publication elsewhere.
Manuscripts should be prepared for publication in accordance with
instructions given in the JWS guide for authors
<http://www.elsevier.com/journals/journal-of-web-semantics/1570-8268/guide-f…>.
The submission and review process will be carried out using Elsevier's
Web-based EM system
<https://www.editorialmanager.com/JOWS/default.aspx>. Please state the
name of the SI in your cover letter and, at the time of submission,
please select “VSI:CBKB” when reaching the Article Type selection.
Upon acceptance of an article, the author(s) will be asked to transfer
copyright of the article to the publisher. This transfer will ensure the
widest possible dissemination of information. Elsevier's liberalpreprint
policy<https://www.elsevier.com/authors/journal-authors/submit-your-paper/sharing-…>permits
authors and their institutions to host preprints on their web sites.
Preprints of the articles will be made freely accessible viaJWS First
Look
<https://papers.ssrn.com/sol3/JELJOUR_Results.cfm?form_name=journalbrowse&jo…>.
Final copies of accepted publications will appear in print and at
Elsevier's archival online server.
Important Dates
*
Submission deadline: November 1, 2021
*
Author notification: February 7, 2022
*
Minor revisions due: February 21, 2022
*
Major revisions due: March 14, 2022
*
Papers appear on JWS preprint server: May 2, 2022
*
Publication: Fall or Winter 2022
Guest Editors
Tim Finin is the Willard and Lillian Hackerman Chair in Engineering and
a Professor of Computer Science and Electrical Engineering at the
University of Maryland, Baltimore County (UMBC).
Sebastian Hellmann is the head of the “Knowledge Integration and
Language Technologies (KILT)" Competence Center at InfAI, Leipzig. He
also is the executive director and board member of the non-profit
DBpedia Association with over 30 key players
<https://www.dbpedia.org/members/overview/>in the knowledge graph area.
He earned a rank in AMiner’s top 10 of the most influential scholars in
knowledge engineering of the last decade.
David L. Martinis a Research & Development Scientist in Artificial
Intelligence. He has held positions at SRI International, Siri, Inc.,
Apple, Nuance Communications, Samsung Research America, and the
University of California at Santa Cruz. He is a Senior Member of the
Association for the Advancement of Artificial Intelligence, and
currently works as an independent consultant in Silicon Valley, California.
Elena Simperlis professor of computer science at King’s College London,
a Fellow of the British Computer Society and former Turing fellow.
According to AMiner, she is in the top 100 most influential scholars in
knowledge engineering of the last decade, as well as in the Women in AI
2000 ranking. Before joining King’s College, she held positions at the
University of Southampton, as well as in Germany and Austria.
The Journal of Web Semantics (JWS) invites submissions for a special
issue on Community-based Knowledge Bases and Knowledge Graphs, edited by
Tim Finin, Sebastian Hellmann, David Martin, and Elena Simperl. (contact
email: cbkb(a)cs.umbc.edu <mailto:cbkb@cs.umbc.edu>) Submissions are due
by November 01, 2021. Please see the JWS post here:
http://www.websemanticsjournal.org/2021/06/cfp-community-based-knowledge-ba…
<http://www.websemanticsjournal.org/2021/06/cfp-community-based-knowledge-ba…>
Introduction
Community-based knowledge bases (KBs) and knowledge graphs (KGs) are
critical to many domains. They contain large amounts of information,
used in applications as diverse as search, question-answering systems,
and conversational agents. They are the backbone of linked open data,
helping connect entities from different datasets. Finally, they create
rich knowledge engineering ecosystems, making significant, empirical
contributions to our understanding of KB/KG science, engineering, and
practices. From here forward, we use "KB" to include both knowledge
bases and knowledge graphs. Also, "KB" and "knowledge" encompass both
ontology/schema and data.
Community-based KBs come in many shapes and sizes, but they tend to
share a number of commonalities:
*
They are created through the efforts of a group of contributors,
following a set of agreed goals, policies, practices, and quality norms.
*
They are available under open licenses.
*
They are central to knowledge-sharing networks bringing together
various stakeholders.
*
They serve the needs of a community of users, including, but not
restricted to, their contributor base.
*
Many draw their content from crowdsourced resources (such as
Wikipedia, OpenStreetMap).
Examples of community-based KBs include Wikidata, DBpedia, ConceptNet,
GeoNames, FrameNet, and Yago. This special issue will highlight recent
research, challenges, and opportunities in the field of community-based
KBs and the interaction and processes between stakeholders and the KBs.
We welcome papers on a wide variety of topics. Papers that focus on the
participation of a community of contributors are especially encouraged.
Topics of interest
We are looking for studies, frameworks, methods, techniques and tools on
topics such as the following:
*
The impact of community involvement on characteristics of KBs such
as requirements, design, technology choices, policies, etc. For
example, how are KB characteristics driven by the community and
reflective of the community's needs?
*
Conversely, the impact of KB characteristics on community
involvement. For example, how do changes in these characteristics
affect the participation and behavior of members of the community?
*
Organizational challenges and solutions in developing and managing
community-based KBs.
*
Technical challenges and solutions in community-based KBs,
concerning a technical area such as:
o
Representation of knowledge and logical foundations
o
Reasoning, querying, and constraint-checking
o
Knowledge acquisition
o
Knowledge preparation (e.g., cleaning, deduplication, alignment,
merging)
o
Maintaining consistency with external sources
o
Representing and managing metadata (including issues involved in
adding metadata to relation instances)
o
Provenance
o
Quality assurance
*
User interfaces and experience, both for contributing to the KB and
using it, by different user groups.
*
Implemented metrics and quality tests to guide the community in
improving KG quality and expanding KG coverage.
*
Achieving and managing knowledge diversity, for instance, in the
form of multilinguality, multi-cultural coverage, multiple points of
view, and a diverse and inclusive contributor base.
*
Detecting and avoiding malicious, inappropriate, and misleading
content in community-based KBs.
*
Biases in community-based KBs and their impact on downstream uses of
KB content.
*
Community-based KBs in science, medicine, law, government, or other
domains.
*
Handling specialized types of knowledge (such as commonsense,
probabilistic, or linguistic knowledge) in a community setting.
*
Methods and tools to manage KB evolution, including change
detection, change management, conflict resolution, visualization of
change history.
*
Tools and affordances supporting community or collaborative
activities, including discussions, feedback, decision making, task
allocation, etc.
*
Motivations and incentives affecting community participation.
*
Approaches and metrics for community health, including but not
restricted to community growth or diversity.
*
Roles and participation profiles in communities building and
maintaining KBs.
*
Frameworks and approaches to support group decision-making and
resolve conflicts.
Types of Papers
We invite submission of Research, Survey, Ontology, and System papers,
according to the guidelines given at https://www.jws-volumes.com
<https://www.jws-volumes.com/>.
Submission Guidelines
The Journal of Web Semantics solicits original scientific contributions
of high quality. Following the overall mission of the journal, we
emphasize the publication of papers that combine theories, methods and
experiments from different subject areas in order to deliver innovative
semantic methods and applications. The publication of large-scale
experiments and their analysis is also encouraged to clearly illustrate
scenarios and methods that introduce semantics into existing Web
interfaces, contents and services.
Submission of your manuscript is welcome provided that it, or any
translation of it, has not been copyrighted or published and is not
being submitted for publication elsewhere.
Manuscripts should be prepared for publication in accordance with
instructions given in the JWS guide for authors
<http://www.elsevier.com/journals/journal-of-web-semantics/1570-8268/guide-f…>.
The submission and review process will be carried out using Elsevier's
Web-based EM system
<https://www.editorialmanager.com/JOWS/default.aspx>. Please state the
name of the SI in your cover letter and, at the time of submission,
please select “VSI:CBKB” when reaching the Article Type selection.
Upon acceptance of an article, the author(s) will be asked to transfer
copyright of the article to the publisher. This transfer will ensure the
widest possible dissemination of information. Elsevier's liberalpreprint
policy<https://www.elsevier.com/authors/journal-authors/submit-your-paper/sharing-…>permits
authors and their institutions to host preprints on their web sites.
Preprints of the articles will be made freely accessible viaJWS First
Look
<https://papers.ssrn.com/sol3/JELJOUR_Results.cfm?form_name=journalbrowse&jo…>.
Final copies of accepted publications will appear in print and at
Elsevier's archival online server.
Important Dates
*
Submission deadline: November 1, 2021
*
Author notification: February 7, 2022
*
Minor revisions due: February 21, 2022
*
Major revisions due: March 14, 2022
*
Papers appear on JWS preprint server: May 2, 2022
*
Publication: Fall or Winter 2022
Guest Editors
Tim Finin is the Willard and Lillian Hackerman Chair in Engineering and
a Professor of Computer Science and Electrical Engineering at the
University of Maryland, Baltimore County (UMBC).
Sebastian Hellmann is the head of the “Knowledge Integration and
Language Technologies (KILT)" Competence Center at InfAI, Leipzig. He
also is the executive director and board member of the non-profit
DBpedia Association with over 30 key players
<https://www.dbpedia.org/members/overview/>in the knowledge graph area.
He earned a rank in AMiner’s top 10 of the most influential scholars in
knowledge engineering of the last decade.
David L. Martinis a Research & Development Scientist in Artificial
Intelligence. He has held positions at SRI International, Siri, Inc.,
Apple, Nuance Communications, Samsung Research America, and the
University of California at Santa Cruz. He is a Senior Member of the
Association for the Advancement of Artificial Intelligence, and
currently works as an independent consultant in Silicon Valley, California.
Elena Simperlis professor of computer science at King’s College London,
a Fellow of the British Computer Society and former Turing fellow.
According to AMiner, she is in the top 100 most influential scholars in
knowledge engineering of the last decade, as well as in the Women in AI
2000 ranking. Before joining King’s College, she held positions at the
University of Southampton, as well as in Germany and Austria.
Dear all,
Exactly 1 year ago, we presented DBpedia Archivo
https://archivo.dbpedia.org <https://archivo.dbpedia.org/>(paper
<https://svn.aksw.org/papers/2020/semantics_archivo/public.pdf>, video
<https://2020-eu.semantics.cc/dbpedia-archivo-web-scale-interface-ontology-a…>)
at SEMANTiCS 2020. Our initial vision was to create a fully automated,
persistent Ontology Archive that serves as a backbone for the Semantic
Web and brings a convenient and stable interface to ontology users. We
are listing some points that we would judge as great successes and
highlights of running Archivo for over a year. Read the full list on our
blog <https://www.dbpedia.org/blog/dbpedia-archivo-1-year-retrospective/>.
September 9th, 2021 at 1pm CEST: In particular, we would like to invite
you to the DBpedia Ontology session
<https://www.dbpedia.org/events/dbpedia-day-semantics-2021/>at the
DBpedia Day at SEMANTiCS 2021 <https://2021-eu.semantics.cc/>to discuss
the future roadmap for Archivo as a Unified Semantic Ontology Space
(USOS) and what the role of the DBpedia Ontology will be in the Semantic
Web.
The session will host impulse talks with ample room for discussion. For
the first time in the history of the Semantic Web, Archivo offers the
possibility to create a Unified Semantic Ontology Space (USOS), a
holistic view over all available ontologies. Instead of soft and fuzzy
principles such as FAIR, we will discuss hard, implementable criteria to
evaluate ontologies in preparation of a well-defined, measurable
standard, which will ultimately yield better and reliable ontologies for
industrial applications. Another topic is the central collaboration on
links and mappings between ontologies to create a more dense and
well-connected web of ontologies. Join the discussion and register here
https://www.dbpedia.org/events/dbpedia-day-semantics-2021/
<https://www.dbpedia.org/events/dbpedia-day-semantics-2021/>.
Stay tuned and stay safe!
Kind regards,
The DBpedia Association
Dear all,
We are happy to announce that we will organize a DBpedia Meeting in
Amsterdam, Netherlands. The DBpedia Day is part of the SEMANTiCS, Sep
6-9, and will be held on the last day of the conference on 9th of
September 2021.
# Highlights
- Keynote presentation by Maria-Esther Vidal (TIB & L3S Research Center)
- DBpedia Databus presentation by Sebastian Hellmann (InfAI, DBpedia
Association)
- DBpedia Members presentations
- DBpedia Ontology session
- NLP & DBpedia session
- Dutch DBpedia session (Presentation of the Dutch National Knowledge Graph)
# Quick Facts
- Web URL: https://www.dbpedia.org/events/dbpedia-day-semantics-2021/
<https://www.dbpedia.org/events/dbpedia-day-semantics-2021/>
- When: September 9, 2021
- Where: Theater de Meervaart, Meer en Vaart 300, 1068 LE Amsterdam AND
Online (The DBpedia Day will proceed as a hybrid event.)
# Schedule
- Please check the schedule for the upcoming DBpedia Day here
https://www.dbpedia.org/events/dbpedia-day-semantics-2021/
<https://www.dbpedia.org/events/dbpedia-day-semantics-2021/>
# Tickets
- Please register on the SEMANTiCS website to be part of the meeting.
You need to buy a ticket to join the DBpedia Day. Check more details
here https://2021-eu.semantics.cc/prices
<https://2021-eu.semantics.cc/prices>
# Organisation
- Enno Meijers, National Library of the Netherlands & Dutch DBpedia
- Julia Holze, InfAI, DBpedia Association
- Milan Dojchinovski, InfAI, DBpedia Association, CTU
- Sebastian Hellmann, InfAI, DBpedia Association
We are looking forward to meeting you!
Kind regards,
Julia
on behalf of the DBpedia Association
Apologies for cross-posting. The full release description including
further statistics can be found on
https://www.dbpedia.org/blog/snapshot-2021-06-release/
<https://www.dbpedia.org/blog/snapshot-2021-06-release/>.
We are pleased to announce immediate availability of a new edition of
the free and publicly accessible SPARQL Query Service Endpoint and
Linked Data Pages, for interacting with the new Snapshot Dataset.
What is the “DBpedia Snapshot” Release?
Historically, this release has been associated with many names: "DBpedia
Core", "EN DBpedia", and — most confusingly — just "DBpedia". In fact,
it is a combination of —
*
EN Wikipedia data— A small, but very useful, subset (~ 1 Billion
triples or 14%) of the whole DBpedia extraction
<https://link.springer.com/chapter/10.1007/978-3-030-59833-4_1>using
theDBpedia Information Extraction Framework
<https://github.com/dbpedia/extraction-framework>(DIEF), comprising
structured information extracted from the English Wikipedia plus
some enrichments from other Wikipedia language editions, notably
multilingual abstracts in ar, ca, cs, de, el, eo, es, eu, fr, ga,
id, it, ja, ko, nl, pl, pt, sv, uk, ru, zh.
*
Links— 62 million community-contributed cross-references and
owl:sameAs links to other linked data sets on the Linked Open Data
(LOD) Cloud that allow to effectively find and retrieve further
information from the largest, decentral, change-sensitive knowledge
graph on earth that has formed around DBpedia since 2007.
*
Community extensions— Community-contributed extensions such as
additional ontologies and taxonomies.
Release Frequency & Schedule
Going forward, releases will be scheduled for the 15th of February, May,
July, and October (with +/- 5 days tolerance), and are named using the
same date convention as the Wikipedia Dumps that served as the basis for
the release. An example of the release timeline is shown below:
June 6–8
June 8–20
June 20–July 10
July 10–20
Wikipedia dumps for June 1 become available on https://dumps.wikimedia.org/
Download and extraction with DIEF
Post-processing and quality-control period
Linked Data and SPARQL endpoint deployment
Data Freshness
Given the timeline above, the EN Wikipediadata of DBpedia Snapshot has a
lag of 1-4 months.
Further Information
Growth of DBpedia, breakdown of links by domain, download instructions
and some tips on how to effectively work with DBpedia are published as
part of this blog post:
https://www.dbpedia.org/blog/snapshot-2021-06-release/
<https://www.dbpedia.org/blog/snapshot-2021-06-release/>
The Journal of Web Semantics (JWS) invites submissions for a special
issue on Community-based Knowledge Bases and Knowledge Graphs, edited by
Tim Finin, Sebastian Hellmann, David Martin, and Elena Simperl. (contact
email: cbkb(a)cs.umbc.edu <mailto:cbkb@cs.umbc.edu>) Submissions are due
by November 01, 2021. Please see the JWS post here:
http://www.websemanticsjournal.org/2021/06/cfp-community-based-knowledge-ba…
<http://www.websemanticsjournal.org/2021/06/cfp-community-based-knowledge-ba…>
Introduction
Community-based knowledge bases (KBs) and knowledge graphs (KGs) are
critical to many domains. They contain large amounts of information,
used in applications as diverse as search, question-answering systems,
and conversational agents. They are the backbone of linked open data,
helping connect entities from different datasets. Finally, they create
rich knowledge engineering ecosystems, making significant, empirical
contributions to our understanding of KB/KG science, engineering, and
practices. From here forward, we use "KB" to include both knowledge
bases and knowledge graphs. Also, "KB" and "knowledge" encompass both
ontology/schema and data.
Community-based KBs come in many shapes and sizes, but they tend to
share a number of commonalities:
*
They are created through the efforts of a group of contributors,
following a set of agreed goals, policies, practices, and quality norms.
*
They are available under open licenses.
*
They are central to knowledge-sharing networks bringing together
various stakeholders.
*
They serve the needs of a community of users, including, but not
restricted to, their contributor base.
*
Many draw their content from crowdsourced resources (such as
Wikipedia, OpenStreetMap).
Examples of community-based KBs include Wikidata, DBpedia, ConceptNet,
GeoNames, FrameNet, and Yago. This special issue will highlight recent
research, challenges, and opportunities in the field of community-based
KBs and the interaction and processes between stakeholders and the KBs.
We welcome papers on a wide variety of topics. Papers that focus on the
participation of a community of contributors are especially encouraged.
Topics of interest
We are looking for studies, frameworks, methods, techniques and tools on
topics such as the following:
*
The impact of community involvement on characteristics of KBs such
as requirements, design, technology choices, policies, etc. For
example, how are KB characteristics driven by the community and
reflective of the community's needs?
*
Conversely, the impact of KB characteristics on community
involvement. For example, how do changes in these characteristics
affect the participation and behavior of members of the community?
*
Organizational challenges and solutions in developing and managing
community-based KBs.
*
Technical challenges and solutions in community-based KBs,
concerning a technical area such as:
o
Representation of knowledge and logical foundations
o
Reasoning, querying, and constraint-checking
o
Knowledge acquisition
o
Knowledge preparation (e.g., cleaning, deduplication, alignment,
merging)
o
Maintaining consistency with external sources
o
Representing and managing metadata (including issues involved in
adding metadata to relation instances)
o
Provenance
o
Quality assurance
*
User interfaces and experience, both for contributing to the KB and
using it, by different user groups.
*
Implemented metrics and quality tests to guide the community in
improving KG quality and expanding KG coverage.
*
Achieving and managing knowledge diversity, for instance, in the
form of multilinguality, multi-cultural coverage, multiple points of
view, and a diverse and inclusive contributor base.
*
Detecting and avoiding malicious, inappropriate, and misleading
content in community-based KBs.
*
Biases in community-based KBs and their impact on downstream uses of
KB content.
*
Community-based KBs in science, medicine, law, government, or other
domains.
*
Handling specialized types of knowledge (such as commonsense,
probabilistic, or linguistic knowledge) in a community setting.
*
Methods and tools to manage KB evolution, including change
detection, change management, conflict resolution, visualization of
change history.
*
Tools and affordances supporting community or collaborative
activities, including discussions, feedback, decision making, task
allocation, etc.
*
Motivations and incentives affecting community participation.
*
Approaches and metrics for community health, including but not
restricted to community growth or diversity.
*
Roles and participation profiles in communities building and
maintaining KBs.
*
Frameworks and approaches to support group decision-making and
resolve conflicts.
Types of Papers
We invite submission of Research, Survey, Ontology, and System papers,
according to the guidelines given at https://www.jws-volumes.com
<https://www.jws-volumes.com/>.
Submission Guidelines
The Journal of Web Semantics solicits original scientific contributions
of high quality. Following the overall mission of the journal, we
emphasize the publication of papers that combine theories, methods and
experiments from different subject areas in order to deliver innovative
semantic methods and applications. The publication of large-scale
experiments and their analysis is also encouraged to clearly illustrate
scenarios and methods that introduce semantics into existing Web
interfaces, contents and services.
Submission of your manuscript is welcome provided that it, or any
translation of it, has not been copyrighted or published and is not
being submitted for publication elsewhere.
Manuscripts should be prepared for publication in accordance with
instructions given in the JWS guide for authors
<http://www.elsevier.com/journals/journal-of-web-semantics/1570-8268/guide-f…>.
The submission and review process will be carried out using Elsevier's
Web-based EM system
<https://www.editorialmanager.com/JOWS/default.aspx>. Please state the
name of the SI in your cover letter and, at the time of submission,
please select “VSI:CBKB” when reaching the Article Type selection.
Upon acceptance of an article, the author(s) will be asked to transfer
copyright of the article to the publisher. This transfer will ensure the
widest possible dissemination of information. Elsevier's liberalpreprint
policy<https://www.elsevier.com/authors/journal-authors/submit-your-paper/sharing-…>permits
authors and their institutions to host preprints on their web sites.
Preprints of the articles will be made freely accessible viaJWS First
Look
<https://papers.ssrn.com/sol3/JELJOUR_Results.cfm?form_name=journalbrowse&jo…>.
Final copies of accepted publications will appear in print and at
Elsevier's archival online server.
Important Dates
*
Submission deadline: November 1, 2021
*
Author notification: February 7, 2022
*
Minor revisions due: February 21, 2022
*
Major revisions due: March 14, 2022
*
Papers appear on JWS preprint server: May 2, 2022
*
Publication: Fall or Winter 2022
Guest Editors
Tim Finin is the Willard and Lillian Hackerman Chair in Engineering and
a Professor of Computer Science and Electrical Engineering at the
University of Maryland, Baltimore County (UMBC).
Sebastian Hellmann is the head of the “Knowledge Integration and
Language Technologies (KILT)" Competence Center at InfAI, Leipzig. He
also is the executive director and board member of the non-profit
DBpedia Association with over 30 key players
<https://www.dbpedia.org/members/overview/>in the knowledge graph area.
He earned a rank in AMiner’s top 10 of the most influential scholars in
knowledge engineering of the last decade.
David L. Martinis a Research & Development Scientist in Artificial
Intelligence. He has held positions at SRI International, Siri, Inc.,
Apple, Nuance Communications, Samsung Research America, and the
University of California at Santa Cruz. He is a Senior Member of the
Association for the Advancement of Artificial Intelligence, and
currently works as an independent consultant in Silicon Valley, California.
Elena Simperlis professor of computer science at King’s College London,
a Fellow of the British Computer Society and former Turing fellow.
According to AMiner, she is in the top 100 most influential scholars in
knowledge engineering of the last decade, as well as in the Women in AI
2000 ranking. Before joining King’s College, she held positions at the
University of Southampton, as well as in Germany and Austria.
Dear all,
We are proud to announce that we will organize a tutorial at the
Language, Data and Knowledge (LDK) conference on September 1, 2021 at
3pm CEST. The tutorial targets existing and potential new users of
DBpedia, developers that wish to learn how to replicate DBpedia
infrastructure, service providers interested in exploiting the DBpedia
Knowledge Graph (KG) and data providers interested in integrating data
assets with the DBpedia KG as well as data scientists (e.g. linguists)
focused on extracting relevant information (e.g. linguistic) from/based
on the DBpedia KG.
# Highlights
During the course of the tutorial the participants will gain knowledge
about:
- the complete DBpedia Knowledge Graph lifecycle, i.e. from extraction
and modelling to publishing and maintenance of DBpedia,
- how to find information, access, query and work with the DBpedia KG,
- the DBpedia infrastructure – the Databus platform and services
(Spotlight, Archivo, etc),
- how to replicate the DBpedia KG and infrastructure,
- how to use DBpedia in third-party applications and
- how to contribute and improve the DBpedia KG.
# Quick Facts
- Web URL: https://www.dbpedia.org/events/tutorial-at-ldk-2021/
<https://www.dbpedia.org/events/tutorial-at-ldk-2021/>
- When: September 1, 2021 at 3pm CEST
- Where: The tutorial will proceed as a hybrid event.
- Conference Program: http://2021.ldk-conf.org/program/
<http://2021.ldk-conf.org/program/>
# Tickets
- Please register at the LDK Conference website to be part of the
meeting. You need to be registered to join the tutorial.
- Please register until July 22, 2021 here:
https://ldk2021registration.nexuslinguarum.eu/
<https://ldk2021registration.nexuslinguarum.eu/>
# Organisation
- Milan Dojčinovski, InfAI, DBpedia Association, CTU
- Jan Forberg, InfAI, DBpedia Association
- Johannes Frey, InfAI, DBpedia Association
- Julia Holze, InfAI, DBpedia Association
- Denis Streitmatter, InfAI, DBpedia Association
- Sebastian Hellmann, InfAI, DBpedia Association
We are looking forward to meeting you!
Kind regards,
Julia
on behalf of the DBpedia Association
Hi all,
Would you like to get more people taking part in the Wikimedia Foundation’s
Board of Trustees election?
The Wikimedia Foundation Board of Trustees announced the plan for the 2021
Board elections
<https://meta.wikimedia.org/wiki/Wikimedia_Foundation_Board_noticeboard/2021…>.
That plan includes outreach and communication support for the Board
elections. The Board election facilitators will:
- Inform communities of the trustee selection process
- Invite communities to engage in voting
- Encourage people representing emerging Wikimedia communities to run as
candidates
Voter turnout in prior elections was about 10% globally. It was better in
communities with volunteer election support. Some of those communities
reached over 20% voter turnout. We know we can get more voters to help
assess and promote the best candidates, but to do that, we need your help.
We are looking for volunteers to serve as Election Volunteers. Election
Volunteers should have a good understanding of their communities. The
facilitation team sees Election Volunteers as doing the following:
- Promote the election in their communities’ channels
- Organize discussions about the election in their communities
- Translate messages for their communities
*Who are the Election Volunteers to connect your community with this
movement effort? Is it you? Or someone you know?* *Check out more details
about Election Volunteers*
<https://meta.wikimedia.org/wiki/Wikimedia_Foundation_elections/2021/Electio…>
and
add your name next to the community you will support in this table
<https://meta.wikimedia.org/wiki/Wikimedia_Foundation_elections/2021/Electio…>
or get in contact with a facilitator
<https://meta.wikimedia.org/wiki/Wikimedia_Foundation_elections/2021#Team>.
We aim to have at least one Election Volunteer for Wiki Projects in the top
30 for eligible voters. Even better if there are two or more sharing the
work.
Best,
--
*Jackie Koerner*
*she/her*
Board Election Facilitator
*English language communities and Meta-Wiki*
Dear all,
We want to inform you about new dates for the Poster & Demo Track and
the Industry Track of SEMANTICS 2021:
# Important Dates for the Industry Track
Submission Deadline: extended to May 26, 2021 (11:59
pm, Hawaii time)
Notification of Acceptance: extended to June 17, 2021 (11:59 pm,
Hawaii time)
Camera-Ready Presentation: July 26, 2021 (11:59 pm, Hawaii time)
# Important dates Poster & Demo Track:
Paper Submission Deadline: extended to June 10, 201 (11:59 pm,
Hawaii time)
Notification of Acceptance: extended to July 01, 2021 (11:59 pm,
Hawaii time)
Camera-Ready Paper: extended to July 08, 2021 (11:59
pm, Hawaii time)
For details please go to: https://2021-eu.semantics.cc/cfp
<https://2021-eu.semantics.cc/cfp>
Stay tuned and stay safe!
With kind regards,
SEMANTICS 2021 Organization Team