LDOW 2013 - International Workshop on Linked Data on the Web (LDOW2013)

The Web is increasingly understood as a global information space consisting not just of linked documents, but also of linked data and services operating on such data. More than just a vision, the resulting Web of Data has been brought into being by the maturing of the Semantic Web technology stack, and by the publication of large datasets according to the principles of Linked Data. Recent initiatives have accelerated the adoption and consumption of structured data by search engines and other major Web players, creating a positive feedback loop for data publishers and highlighting new opportunities for commercial exploitation.
Building on the success of the LDOW series, now in its sixth year, the LDOW2013 workshop aims to stimulate further research into the challenges of using Linked Data to deliver transformative applications to large user bases, as well as to mining implicit knowledge from the Web of Data. Inevitably these challenges range from lower level 'plumbing' issues to large-scale data processing and mining to higher level conceptual questions of value propositions and business models. The LDOW2013 workshop will provide a forum for exposing novel, high quality research and applications in these areas. In addition, by bringing together researchers in this field, the event will further shape the ongoing Linked Data research agenda.
Topics of interest for the workshop include, but are not limited to, the following:
Mining the Web of Linked Data
large-scale approaches to deriving implicit knowledge from the Web of Linked Data
using the Web of Linked Data as background knowledge in data mining applications
Linking and Fusion
linking algorithms and heuristics, identity resolution
increasing the value of Schema.org and OpenGraphProtocol data through linking
Web data integration
Web data fusion
performance of linking infrastructures/algorithms on Web data
Linked Data Application Architectures
crawling, caching and querying Linked Data on the Web
optimizations, performance
Quality, Trust, Provenance and Licensing in Linked Data
profiling and change tracking of Linked Data sources
tracking provenance and usage of Linked Data
evaluating quality and trustworthiness of Linked Data
licensing issues in Linked Data publishing
Linked Data Applications and Business Models
interface and interaction paradigms for Linked Data applications
application showcases including browsers and search engines
marketplaces, aggregators and indexes for Linked Data
business models for Linked Data publishing and consumption
Linked Data applications for life-sciences, digital humanities, social sciences etc.