Introduction
The quantity of published Linked Data continues to increase. However, applications that consume Linked Data are not yet widespread. Reasons may include a lack of suitable methods for a number of open problems, including the seamless integration of Linked Data from multiple sources, dynamic discovery of available data and data sources, provenance and information quality assessment, application development environments, and appropriate end user interfaces. Addressing these issues requires well-founded research, including the development and investigation of concepts that can be applied in systems which consume Linked Data from the Web. Our main objective is to provide a venue for scientific discourse (including systematic analysis and rigorous evaluation) of concepts, algorithms and approaches for consuming Linked Data.
Call for paper
Important date
Submission Topics
While previous editions of the workshop have attracted a number of submissions that addressed topics related to (RDF and) Linked Data management in general, with COLD 2016 we aim to continue steering the workshop back towards the aforementioned core goals. To this end, we explicitly seek submissions that address research problems related to at least one of the following two aspects of Linked Data consumption:
- Makes use of Linked Data principles, including dereferencing
- Involves direct use of multiple, real-world Linked Datasets
In the context of these two aspects of Linked Data consumption, relevant topics for COLD 2016 include but are not limited to:
- Live Linked Data (i.e., algorithms and applications that make use of Linked Data at runtime)
- Architectures for consuming Linked Data (e.g., Dataspaces, Cloud, NoSQL)
- Integration of Linked Data sources (e.g., entity resolution, sameas, vocabulary mapping, etc.)
- Handling additional Web data (e.g., Deep Web, APIs, Microdata, JSON, Atom, tables, etc.)
- Web-scale data management (e.g., crawling, indexing, parallel processing, etc.)
- Novel languages for navigating and consuming Linked Data (e.g., nSPARQL, NautiLOD, etc)
- Linked Data summarisation, guides and schema learning
- Query processing over multiple Linked Datasets
- Search over the Web of Linked Data
- Auto-discovery of URIs and data
- Caching and replication
- Dataset dynamics
- Reasoning on Linked Data from multiple sources
- Information quality and trustworthiness of Linked Data
- User-interface research for interacting with the Web of Linked Data
Guidlines
We seek novel technical research papers in the context of consuming Linked Data with a length of up to 12 pages.
All submissions must be in English. Paper submissions must be formatted in the style of the LNCS.
We accept submissions in PDF but also encourage submissions in HTML. In the latter case, you should submit a ZIP archive containing all of the necessary files.
Please note that independently of the format used, we require articles to be submitted in LNCS format and to abide by the permitted font sizes, font selection, margins, etc., irrespective of the format used. This is to ensure visual consistency of the proceedings as well as to have comparative page limits. Submissions not conforming to the LNCS format or papers that are exceed the page limit will be rejected without review.
We note that the author list does not need to be anonymised, as we do not have a double-blind review process in place.
Submissions will be peer reviewed by three independent reviewers. Accepted papers have to be presented at the workshop to be published in the proceedings. Proceedings will be published online at CEUR-WS.
All Comments
Important Date
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Conference Date
Oct 17
2016
toOct 18
2016
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Jul 07 2016
Draft paper submission deadline
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Jul 31 2016
Draft Paper Acceptance Notification
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Aug 18 2016
Final Paper Deadline
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Oct 18 2016
Registration deadline
Contact Information
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