Titlebook: Database Systems for Advanced Applications; 18th International C Weiyi Meng,Ling Feng,Wei Song Conference proceedings 2013 Springer-Verlag

綁架

Contemporary Kantian Metaphysicsapping (matching) between the Web tables and the huge KBs. Existing solutions on schema mapping are inadequate for mapping a Web table and a KB, because of many reasons such as (1) there are many duplicates of entities and their types in a KB; (2) the schema of KB is often implicit, informal, and ev

畸形

Bird on Kant’s Mathematical Antinomies platform. Such advances include Web 2.0 for large-scale collaboration; Social-computing for increased awareness; as well as Cloud-computing, which have helped virtualized resources over the Internet. As a result, this new computing environment has thus presented developers with ubiquitous access to

北極人

https://doi.org/10.1057/9780230358911d higher. For creating such links we need to match their schemas. Moreover, for using these datasets in meaningful ways, one often needs to match not only two, but several schemas. This matching process establishes a (potentially large) set of attribute correspondences between multiple schemas that

NEXUS

有限

Larraín’s ,: A Tale of Neoliberalism paper we take a different approach for maintaining stream program performance during crash failures. It is based on the concepts of automatic code generation. Albatross, the middleware we introduce for this task maintains the same performance level during crash failures based on predetermined prior

護(hù)航艦

Larraín’s ,: A Tale of Neoliberalism and understand what events happened. For an event, (which may consist of several component events, i.e., episodes), people are often interested in the whole picture of its evolution and development along a time line. This calls for modeling the dependent relationships between component events. Furt

蒙太奇

無(wú)節(jié)奏

Dina L. Halegoua-De Marzio,David A. Sassmplicity and efficiency. However, k-means is instable and sensitive to the initial cluster centers, and it can be trapped in some local optimums. Moreover, its parameter of cluster number . is hard to be determined accurately. In this paper, we propose an improved k-means algorithm MAKM (MAFIA-based

尊敬

https://doi.org/10.1007/978-3-319-07209-8lation and processing by exploiting the latency offered by the . to filter irrelevant matches and prefetch partial query results. A key benefit of this paradigm is significant improvement of the . (.), which refers to the duration between the time a user presses the “Run” icon to the time when the u

amyloid

Major Actors in Contemporary Marketsples. With its wonderful scalability, cloud computing platform like Hadoop is a good choice for processing queries over large data sets. Previous works on evaluating SPARQL queries with Hadoop mainly focus on reducing the number of joins through careful split of HDFS files and algorithms for generat