| NSF Org: |
IIS Division of Information & Intelligent Systems |
| Recipient: |
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| Initial Amendment Date: | August 15, 2009 |
| Latest Amendment Date: | August 15, 2009 |
| Award Number: | 0910989 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Frank Olken
IIS Division of Information & Intelligent Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | August 15, 2009 |
| End Date: | July 31, 2013 (Estimated) |
| Total Intended Award Amount: | $1,670,974.00 |
| Total Awarded Amount to Date: | $1,670,974.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
160 ALDRICH HALL IRVINE CA US 92697-0001 (949)824-7295 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
160 ALDRICH HALL IRVINE CA US 92697-0001 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): |
Information Technology Researc, DATA-INTENSIVE COMPUTING |
| Primary Program Source: |
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| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
The evolution of the "human Web," powered by HTML and HTTP, has revolutionized the way that people find information, buy things, communicate, and collaborate. Web services and semi-structured data formats are having a similar impact on the "machine Web." XML is enriching our ability to find and interchange information today; industry verticals have created XML-based data exchange standards; and XML backbones have gained adoption in support of service-oriented architectures and software-as-a-service initiatives. Other semi-structured formats, like JSON, are playing similar roles, and XML is increasingly being used for its original purpose of semantic document markup. As a result, the world will soon be awash in a sea of semi-structured information.
The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. The project is combining ideas from three distinct areas - semi-structured data, parallel databases, and data-intensive computing - to create a next-generation, open source software platform that scales by running on large, shared-nothing computing clusters. ASTERIX targets a wide range of semi-structured information, ranging from "data" use cases - where information is well-tagged and highly regular - to "content" use cases - where data is irregular and much of each datum is textual. ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with today's data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information.
Project website: http://asterix.ics.uci.edu/
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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