Preserving Linked Data: Challenges and Opportunities
In this video, the speaker begins by discussing the Web of Data and Linked Data Principles, then switches focus to the challenges of publishing and [...]
RDF and Logic: Reasoning and Extension
This paper explores embedding the various kinds of RDF entailment in F-Logic. It shows that the embedding of simple, RDF, and RDFS entailment, as well [...]
Introduction to Linked Data: Background Technologies and Standards, Motivating Application Scenario
This presentation introduces the main principles of Linked Data, including the underlying technologies and background standards. It provides basic knowledge for how data can be [...]
Expressive Languages for Querying the Semantic Web
SPARQL 1.1 was recently released, which includes entailment regimes for RDFS and OWL vocabularies and a mechanism to express navigation patterns through regular expressions. Unfortunately, [...]
Linked Enterprise Data: Business Scenarios
Shortcomings in the availability, reliability, and quality of internal enterprise data can lead to the loss of a competitive advantage. Most tools currently used to [...]
Crowd-sourcing Linked Data Quality Assessment
This presentation looks into the use of crowd-sourcing as a means to handle Linked Data quality problems that are challenging to solve automatically. The authors [...]
Driving Business Value with Linked Enterprise Data
This presentation shows how Linked Enterprise Data can not only streamline an infrastructure but also enable automatic information logistics to combine process management and information [...]
Integrating NLP using Linked Data
This paper argues that simplifying the interoperability of different NLP tools performing similar but also complementary tasks will facilitate the comparability of results and the [...]
From Linked Data to Networked Knowledge
This lecture briefly covers the history of human communication up to the present day and then seeks to answer the question, "How best can we [...]
Knowledge Graph Identification
Large-scale information processing systems are able to extract massive collections of interrelated facts, but unfortunately transforming these candidate facts into useful knowledge is a formidable [...]