2009
DOI: 10.1109/tc.2009.80
|View full text |Cite
|
Sign up to set email alerts
|

Exploiting Stream Request Locality to Improve Query Throughput of a Data Integration System

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2011
2011
2017
2017

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 26 publications
0
2
0
Order By: Relevance
“…In addition, most of NoSQL databases are based on open source project, compared with the mature relational database, they are not perfect. Therefore, the traditional relational database and NoSQL database will coexist with a period [4].…”
Section: Related Workmentioning
confidence: 99%
“…In addition, most of NoSQL databases are based on open source project, compared with the mature relational database, they are not perfect. Therefore, the traditional relational database and NoSQL database will coexist with a period [4].…”
Section: Related Workmentioning
confidence: 99%
“…Although data integration technology has solved some problem of heterogeneous system and structure, but the grammar and semantic heterogeneity have not yet been resolved. Heterogeneous data integration based on XML can solve the heterogeneous problem of grammar, but it also has no good solutions to the semantic heterogeneous [1] .The Ontology has a good ability of semantic expression, so the heterogeneous data integration method based on ontology emerges, and there are many research in various fields, it solves the problem of semantic heterogeneity of data effectively,achieve the interaction and sharing of enterprise internal and external heterogeneous data [2] .With the in-depth development of the audit database construction, the problem of semantic heterogeneity need to be solved urgently [3] . The content of this paper is as follows: the proposed to construct a model based on the theory of audit domain ontology, using ontology to obtain audit domain knowledge, describing the concept of knowledge in the field, and the relationships between these concepts, which can solve the problem ofsemantic heterogeneity of audit data, to realize the semantic heterogeneous data sharing and interaction.…”
Section: Introductionmentioning
confidence: 99%