Searching for Uncertainty In Data Integration And Dataspace Support Platforms information? Find all needed info by using official links provided below.
http://i.stanford.edu/~anishds/publications/schema_mapping_matching_chapter/udssp.pdf
Uncertainty in Data Integration and Dataspace Support Platforms 3 Uncertain mediated schema: The mediated schema is the set of schema terms in which queries are posed. They do not necessarily cover all the attributes appear-ing in any of the sources, but rather the aspects of the domain that the application builder wishes to expose to the users.
https://www.researchgate.net/publication/226404618_Uncertainty_in_Data_Integration_and_Dataspace_Support_Platforms
Request PDF Uncertainty in Data Integration and Dataspace Support Platforms Data integration has been an important area of research for several years. However, such systems suffer from one of ...
https://link.springer.com/chapter/10.1007%2F978-3-642-16518-4_4
Dec 16, 2010 · Dataspace support platforms (DSSP) envision a system that offers useful services on its data without any setup effort and that improves with time in a pay-as-you-go fashion. We argue that to support DSSPs, the system needs to model uncertainty at its core.Cited by: 9
http://i.stanford.edu/~anishds/publications/JM-bookchapter/DSSP.pdf
Data Modeling in Dataspace Support Platforms 123 This article is largely based on previous papers [3,5]. The proofs of the theorems we state and the experimental results validating some of our claims can be found therein. 2 Uncertainty in Data Integration We begin by describing some of the possible sources of uncertainty in a dataspace-
http://core.ac.uk/display/23324311
Dataspace Support Platforms (DSSP) envision a system that offers useful services on its data without any setup effort, and improve with time in a pay-as-you-go fashion. We argue that in order to support DSSPs, the system needs to model uncertainty at its core.
https://cai.type.sk/content/2013/1/managing-uncertain-mediated-schema-and-semantic-mappings-automatically-in-dataspace-support-platforms/111267.pdf
Contrary to traditional data integration systems, a DataSpace Support Platform (DSSP) [10] is a self-sustained system which self-produced its mediated schemas and schema mappings, self-managed uncertainty among them and which can be improved incrementally as the system is used or as new sources get connected to the platform.
https://storage.googleapis.com/pub-tools-public-publication-data/pdf/36206.pdf
Dataspace Support Platforms [19] envision data integra-tion systems where sources are added with no effort and the system is constantly evolving in a pay-as-you-go fashion to improve the quality of semantic mappings and query ans-wering. Enabling data integration with uncertainty is a key technology to supporting dataspaces.
https://www.researchgate.net/profile/Charu_Aggarwal/publication/226964430_Uncertainty_in_Data_Integration/links/53ed5b130cf2981ada16f0ad.pdf?inViewer=true&pdfJsDownload=true&disableCoverPage=true&origin=publication_detail
Dataspace Support Platforms [20] envision data integration systems where sources are added with no effort and the system is constantly evolving in a pay-as-you-go fashion to improve the quality of se-
https://en.wikipedia.org/wiki/Dataspaces
As a result, significant up-front effort is required in order to set up a data integration system. Dataspaces shift the emphasis to a data co-existence approach providing base functionality over all data sources, regardless of how integrated they are. For example, a DataSpace Support Platform (DSSP) can provide keyword search over all of its ...
http://lunadong.com/publications.htm
Anish Das Sarma, Xin Dong, and Alon Halevy: Uncertainty in Data Integration and Dataspace Support Platforms. Book chapter in \93Advances in Schema Matching and Mapping\94, Springer, 2011. Anish Das Sarma, Xin Dong, and Alon Halevy: Data Modeling in Dataspace Support Platforms.
How to find Uncertainty In Data Integration And Dataspace Support Platforms information?
Follow the instuctions below:
- Choose an official link provided above.
- Click on it.
- Find company email address & contact them via email
- Find company phone & make a call.
- Find company address & visit their office.
