Seventh International Workshop on Consuming Linked Data COLD 2016

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活动简介

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.

征稿信息

重要日期

2016-07-07

初稿截稿日期

2016-07-31

初稿录用日期

2016-08-18

终稿截稿日期

征稿范围

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

作者指南

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.