Weaving a Web of Linked Resources

(i) in or- der to get a better understanding of the status quo of Web video deployment, we have performed a large-scale analy- sis of the 148 terabyte size Common Crawl corpus, (ii)

Motivated by GetThere, a passenger information sys- tem that crowdsources transport information from users (including per- sonal data, such as their location), four scenarios

To avoid that the adjacency matrix becomes too large to pro- cess, we ensure a limited number of resources to check while still increasing the probability of finding a valid path

To address this problem, the Asset De- scription Metadata Schema (ADMS), a common meta-model for semantic assets is developed to enable repository owners to publish their

As an outcome, the opinion mining algorithm enabled us to leverage the multilingual instances to the same level but ultimately the Marl ontology in conjunction with other Semantic

In this context, the system should be able to automatically retrieve and integrate information from different sources and to registry educational information about the tools

The task of data discovery and extraction is to discover new data sources those are unknown in advance for the query processing according to the data inference configuration.. The

The main idea of this phase is to model the query execution as a context graph that is used by a heuristic to discover the patterns which are passed sideways to prune nodes in