""Terminological Data: RDFS/OWL""""Distribution Framework""; ""Crawling, Corpus and Ranking""; ""Crawler""; ""Breadth-first Crawling""; ""Incorporating Politeness""; ""On-disk Queue""; ""Multi-threading""; ""Crawling RDF/XML""; ""Distributed Approach""; ""Related Work""; ""Critical Discussion and Future Directions""; ""Evaluation Corpus""; ""Crawl Statistics""; ""Corpus Statistics""; ""Related Work""; ""Critical Discussion and Future Directions""; ""Ranking""; ""Rationale and High-level Approach""; ""Creating and Ranking the Source Graph""; ""Distributed Ranking Implementation""
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Linked Data publishing has brought about a novel "Web of Data": a wealth of diverse, interlinked, structured data published on the Web. These Linked Datasets are described using the Semantic Web standards and are openly available to all, produced by governments, businesses, communities and academia alike. However, the heterogeneity of such data - in terms of how resources are described and identified - poses major challenges to potential consumers. Herein, we examine use cases for pragmatic, lightweight reasoning techniques that leverage Web vocabularies (described in RDFS and OWL) to better i.
Hogan, A. Reasoning Techniques for the Web of Data