COLD
Event series Rating
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List of all ratings can be found at COLD/rating
Excel series Import and Export
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International Workshop on Consuming Linked Data
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Categories: Semantic Web
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| Avg. acceptance rate: | 0 |
| Avg. acceptance rate (last 5 years): | 0 |
| Table of Contents | |
International Workshop on Consuming Linked Data (COLD) has an average acceptance rate of 0% (last 5 years 0%).
Events
There are 1 events of the series COLD known to this wiki: COLD2013
| OrdinalThis property of the datatype Number represents the ordinal number of an event within an event series. Thereby it informs about the age of an event series. This property is not needed for the DOI registration process via DataCite and is optional. | Year | FromThis property is of the datatype Date and it is being used to provide the start date of an academic event or a project.</br>This property is aligned with icaltzd:dtstart. It is a mandatory property when describing an academic event and it is needed for the DOI registration process via DataCite. | ToThis property is of the datatype Date and it is being used to provide the end date of an academic event or a project.</br>This property is aligned with icaltzd:dtend.</br>It is a mandatory property when describing an academic event and it is needed for the DOI registration process via DataCite. | CityThe property Has location city can be used to specify the city where a street, building, event, etc. is located in.</br>It is of the datatype Page and a special case of the Property:Located in. Other properties for specifying locations are: property:Has location country, property:Has location state and property:Has location address.</br>When specifying the city in which an academic event takes or took place, using this property is not needed for the DOI registration process via DataCite but strongly recommended. | CountryThe property Has location country is used to describe the country where something is located in.</br>It is of the datatype Page and a special case of the Property:Located in. Other properties for specifying locations are: property:Has location city, property:Has location state and property:Has location address.</br>When specifying the country in which an academic event takes or took place, using this property is not needed for the DOI registration process via DataCite but strongly recommended. | presence | HomepageThis property is of the datatype URL and it is being used to provide the official website of an academic event or an event series.</br>It is a recommended property when describing an academic event or event series and it is not needed for the DOI registration process via DataCite. | TibKatId | GNDThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in the Integrated_Authority_File (GND). Its external formatter URI is http://d-nb.info/gnd/$1.</br>In Open Research it is mostly used to identify an academic event or event series within the GND. </br>The use of this property is optional.</br>It is not necessary for the DOI registration process via DataCite. | dblpThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in dblp. Its external formatter URI is https://dblp2.uni-trier.de/db/conf/$1.</br>In Open Research it is mostly used to identify an academic event within dblp. </br>The use of this property is optional. It is not necessary for the DOI registration process via DataCite. | WikiCFPThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in WikiCFP. Its external formatter URI is http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=$1.</br>In Open Research it is used to identify an academic event or event series within WikiCFP. </br>The use of this property is optional. It is not necessary for the DOI registration process via DataCite. | WikidataThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in Wikidata. Its external formatter URI is https://www.wikidata.org/entity/$1.</br>In Open Research it is mostly used to identify an academic event or event series within Wikidata. </br>The use of this property is optional. It is not necessary for the DOI registration process via DataCite. | General chair | PC chair | |
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| COLD2013 | 2013 | Oct 22 | Oct 22 | AU/NSW/Sydney | AU | http://dsg.uwaterloo.ca/cold2013/ | Some person | Some person |
Submission/Acceptance
Locations
Objectives
The term Linked Data refers to a practice for publishing and interlinking structured data on the Web. Since the practice has been proposed in 2006, a grass-roots movement has started to publish and to interlink multiple open databases on the Web following the Linked Data principles. Due to conference workshops, tutorials, and general evangelism an increasing number of data publishers such as the BBC, Thomson Reuters, The New York Times, the Library of Congress, and the UK and US governments have adopted Linked Data principles. The ongoing effort resulted in bootstrapping the Web of Data which, today, comprises billions of RDF triples including millions of links between data sources. The published datasets include data about books, movies, music, radio and television programs, reviews, scientific publications, genes, proteins, medicine, and clinical trials, geographic locations, people, companies, statistical and census data, etc.
Access to Linked Data presents exciting opportunities for the next generation of Web-based applications: data from different providers can be aggregated and fragmentary information from multiple sources can be integrated to achieve a more comprehensive view. While a few applications, such as the BBC music guide have used Linked Data to significant benefit, the deployment methodology has been to harvest the data of interest from the Web to create a private, disconnected repository for each specific application. Such an approach can only be the beginning; new concepts to consume Linked Data are required in order to exploit the Web of Linked Data to its full potential. The concepts, patterns and tools necessary are very different from situations when resource identifiers are local or known a-priori, whole-repository queries are possible, access to the repository is reliable and relevant data sources are known to be trustworthy.
Several open issues that make the development of Linked Data based applications a challenging or still impossible task. These issues include the lack of approaches for seamless integration of Linked Data from multiple sources, for dynamic, on-the-fly discovery of available data, for information quality assessment, and for elaborate end user interfaces. These open issues can only be addressed appropriately when they are conceived as research problems that require the development and systematic investigation of novel approaches. The International Workshop on Consuming Linked Data (COLD) aims to provide a platform for the presentation and discussion of such approaches. Our main objective is to receive submissions that present scientific discussion (including systematic evaluation) of concepts and approaches, instead of exposition of features implemented in Linked Data based applications. For practical systems without formalization or evaluation we refer interested participants to other offerings at ISWC, such as the Semantic Web Challenge or the Demo Track. As such, we see our workshop as orthogonal to these events.