LDOW 2018
| LDOW 2018 | |
|---|---|
The 11th Workshop on Linked Data on the Web
| |
| Event in series | LDOW |
| Subevent of | WWW 2018 |
| Dates | 2018/04/23 (iCal) - 2018/04/23 |
| Homepage: | www.events.linkeddata.org/ldow2018/ |
| Submitting link: | easychair.org/conferences/?conf=ldow2018 |
| Location | |
| Location: | Lyon, France |
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| Important dates | |
| Workshops: | 2018/02/23 |
| Submissions: | 2018/01/29 |
| Notification: | 2018/02/14 |
| Camera ready due: | 2018/02/04 |
| Committees | |
| Organizers: | Tim Berners-Lee, Sarven Capadisli, Stefan Dietze, Aidan Hogan, Krzysztof Janowicz, Jens Lehmann |
| Table of Contents | |
The Web is developing from a medium for publishing textual documents into a medium for sharing structured data. This trend is fueled on the one hand by the adoption of the Linked Data principles by a growing number of data providers. On the other hand, large numbers of websites have started to semantically mark up the content of their HTML pages and thus also contribute to the wealth of structured data available on the Web.
The 11th Workshop on Linked Data on the Web (LDOW2018) aims to stimulate discussion and further research into the challenges of publishing, consuming, and integrating structured data from the Web as well as mining knowledge from the global Web of Data.
Social media hashtag: #LDOW2018
Topics
Web Data Quality Assessment
- methods for evaluating the quality and trustworthiness of web data
- tracking the provenance of web data
- profiling and change tracking of web data sources
- cost and benefits of web data quality assessment
- web data quality assessment benchmarks
Web Data Cleansing
- methods for cleansing web data
- data fusion and truth discovery
- conflict resolution using semantic knowledge
- human-in-the-loop and crowdsourcing for data cleansing
- cost and benefits of web data cleansing
- web data quality cleansing benchmarks
Integrating Web Data from Large Numbers of Data Sources
- linking algorithms and heuristics, identity resolution
- schema matching and clustering
- evaluation of linking and schema matching methods
Mining the Web of Data
- large-scale derivation of implicit knowledge from the Web of Data
- using the Web of Data as background knowledge in data mining
- techniques and methodologies for Linked Data mining and analytics
Linked Data Applications
- application showcases including Web data browsers and search engines
- marketplaces, aggregators and indexes for Web Data
- security, access control, and licensing issues of Linked Data
- role of Linked Data within enterprise applications (e.g. ERP, SCM, CRM)
- Linked Data applications for life-sciences, digital humanities, social sciences etc.
Submissions
We seek the following kinds of contributions:
- Full scientific articles: up to 10 ‘pages’
- Short scientific and position articles: up to 5 ‘pages’
Articles SHOULD be formatted and made available in HTML, where the use of Linked Data is strongly encouraged. Publish datasets and similar results in a publicly accessible repository and available as Linked Data. For authoring along the lines of the Linked Research initiative, authors may want to use dokieli (see also source). Publish your article on the Web, and send us the URL. You are welcome to share it via community chat. There are a variety of examples in the wild. See the Linked Open Research Cloud for further details on how to make your article discoverable.
Articles MAY be formatted in using ACM SIG template. Please submit these contributions via EasyChair at https://easychair.org/conferences/?conf=ldow2018.
LDOW encourages Open Peer Review, and RECOMMEND that authors and reviewers are named and attributed; however authors or reviewers MAY be anonymous if so desired. Reviewers SHOULD make their Open Reviews available using the same guidelines as the research articles.
All contributions will be archived at Internet Archive.
Accepted contributions will be presented at the workshop and included in the workshop proceedings. At least one author of each article is expected to register for the workshop and attend to present their contribution.
Important Dates
- Contributions deadline: 2018-01-29 (23:59 Hawaii Time)
- Notification of acceptance: 2018-02-14
- Camera-ready versions of accepted contributions: 2018-03-04
- Workshop date: 2018-04-23
Committees
- Organising Committee
- Tim Berners-Lee, W3C/MIT, USA
- Sarven Capadisli, University of Bonn, Germany
- Stefan Dietze, Leibniz Universität Hannover, Germany
- Aidan Hogan, Universidad de Chile, Chile
- Krzysztof Janowicz, University of California, Santa Barbara, US
- Jens Lehmann, University of Bonn, Germany
- Program Committee
- Amy Guy, The University of Edinburgh, UK
- Armin Haller, Australian National University, Australia
- Bernhard Haslhofer, AIT-Austrian Institute of Technology, Austria
- Blake Regalia, University of California, Santa Barbara, US
- Dimitris Kontokostas, University of Leipzig, Germany
- Gong Cheng, Nanjing University, China
- Gregory Todd Williams, Hulu, USA
- Haklae Kim, Samsung Electronics, Korea
- Harald Sack, Hasso-Plattner-Institut, Germany
- Heiko Paulheim, University of Mannheim, Germany
- Jakub Klímek, Charles University, Czech Republic
- Jeremy Debattista, Trinity College Dublin, Ireland
- Jun Zhao, Oxford University, UK
- Lyndon Nixon, MODUL University, Austria
- Mathieu D'Aquin, Insight Centre for Data Analytics, National University of Ireland Galway, Ireland
- Monika Solanki, University of Oxford, UK
- Oktie Hassanzadeh, IBM T.J. Watson Research, USA
- Peter Haase, metaphacts, Germany
- Raphaël Troncy, EURECOM, France
- Roberto Garcia, Universitat de Lleida, Spain
- Ruben Verborgh, Ghent University – imec, Belgium
- Stian Soiland-Reyes, University of Manchester, UK
- Thomas Steiner, Google, Germany
- Tom Heath, Open Data Institute, UK
- Volha Bryl, Springer Nature, Germany
- Yingjie Hu, University of Tennessee Knoxville, UK
