TY - GEN
T1 - LearnPADS
T2 - 2008 ACM SIGMOD International Conference on Management of Data 2008, SIGMOD'08
AU - Fisher, Kathleen
AU - Walker, David
AU - Zhu, Kenny
PY - 2008
Y1 - 2008
N2 - In this demonstration, we will present LearnPADS, a fully automatic system for generating ad hoc data processing tools. When presented with a collection of ad hoc data, the system (1) analyzes the data, (2) infers a pads [4, 5] description, (3) generates parser, printer, validation and traversal libraries and (4) links these libraries with format-independent tool suites to form stand-alone applications. These applications provide statistical analysis, XML conversion, CSV conversion, the ability to query with the Galax XQuery engine [3], and the ability to graph selected data elements, all directly from ASCII ad hoc data without human intervention. SIGMOD attendees will see both the user experience with LEARNPADS and the internals of the multi-phase inference algorithm which lies at the heart of the system.
AB - In this demonstration, we will present LearnPADS, a fully automatic system for generating ad hoc data processing tools. When presented with a collection of ad hoc data, the system (1) analyzes the data, (2) infers a pads [4, 5] description, (3) generates parser, printer, validation and traversal libraries and (4) links these libraries with format-independent tool suites to form stand-alone applications. These applications provide statistical analysis, XML conversion, CSV conversion, the ability to query with the Galax XQuery engine [3], and the ability to graph selected data elements, all directly from ASCII ad hoc data without human intervention. SIGMOD attendees will see both the user experience with LEARNPADS and the internals of the multi-phase inference algorithm which lies at the heart of the system.
KW - Algorithms
KW - Languages
UR - http://www.scopus.com/inward/record.url?scp=57149123931&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=57149123931&partnerID=8YFLogxK
U2 - 10.1145/1376616.1376759
DO - 10.1145/1376616.1376759
M3 - Conference contribution
AN - SCOPUS:57149123931
SN - 9781605581026
T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data
SP - 1299
EP - 1301
BT - SIGMOD 2008
Y2 - 9 June 2008 through 12 June 2008
ER -