Titlebook: Cloud-Based RDF Data Management; Zoi Kaoudi,Ioana Manolescu,Stamatis Zampetakis Book 2020 Springer Nature Switzerland AG 2020

流動才波動

極大的痛苦

GUILT

高射炮

wangle

Synthesis Lectures on Data Managementhttp://image.papertrans.cn/c/image/228500.jpg

Exclude

978-3-031-00747-7Springer Nature Switzerland AG 2020

EXTOL

https://doi.org/10.1007/978-3-322-97524-9antic Web was to evolve the Web in order to accommodate intelligent, automatic processes that perform tasks on behalf of the users utilizing .. This data should have well-defined semantics enabling better data integration and interoperability. RDF provided the standardized means of representing this

incite

祖先

Bildungsforschung und Bildungspolitik,ng determines how a SPARQL query will be decomposed and evaluated across multiple nodes. In this chapter we focus on the concepts and algorithms involved in SPARQL query planning for the cloud. As SPARQL queries are quite join-intensive, i.e., they often comprise many join operations; join evaluatio

不如屎殼郎

Bildungsforschung und Bildungspolitik,rules. The role of . (or reasoning) is important in an RDF data management context. Recall that the semantics of an RDF graph is that of its ., which comprises both its explicit and implicit (i.e., entailed) triples. Generally, there are three methods to handle RDFS entailment: