Extracting structured data from Web pages
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
PADS: a domain-specific language for processing ad hoc data
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
The next 700 data description languages
Conference record of the 33rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages
PADS/ML: a functional data description language
Proceedings of the 34th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
From dirt to shovels: fully automatic tool generation from ad hoc data
Proceedings of the 35th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
A generic programming toolkit for PADS/ML: first-class upgrades for third-party developers
PADL'08 Proceedings of the 10th international conference on Practical aspects of declarative languages
Ad Hoc Data and the Token Ambiguity Problem
PADL '09 Proceedings of the 11th International Symposium on Practical Aspects of Declarative Languages
Reverse engineering for mobile systems forensics with Ares
Proceedings of the 2010 ACM workshop on Insider threats
Optimizing data analysis with a semi-structured time series database
SLAML'10 Proceedings of the 2010 workshop on Managing systems via log analysis and machine learning techniques
Bistro data feed management system
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Forensic triage for mobile phones with DEC0DE
SEC'11 Proceedings of the 20th USENIX conference on Security
LearnPADS++: incremental inference of ad hoc data formats
PADL'12 Proceedings of the 14th international conference on Practical Aspects of Declarative Languages
| Hi-index | 0.00 |
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.