Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/33429| Title: | A Relational Framework for Information Extraction | Authors: | Fagin, Ron Kimelfeld, Benny Reiss, Frederick VANSUMMEREN, Stijn |
Issue Date: | 2015 | Publisher: | Association for Computing Machinery | Source: | SIGMOD RECORD, 44 (4) , p. 5 -16 | Abstract: | Information Extraction commonly refers to the task of populating a relational schema, having predefined underlying semantics, from textual content. This task is pervasive in contemporary computational challenges associated with Big Data. In this article we provide an overview of our work on document spanners-a relational framework for Information Extraction that is inspired by rule-based systems such as IBM's SystemT. | Keywords: | Information extraction;document spanners;regular expressions;automata;inconsistency;prioritized repairs | Document URI: | http://hdl.handle.net/1942/33429 | ISSN: | 0163-5808 | e-ISSN: | 1943-5835 | DOI: | 10.1145/2935694.2935696 | ISI #: | WOS:000375707600001 | Category: | A1 | Type: | Journal Contribution |
| Appears in Collections: | Research publications |
Show full item record
WEB OF SCIENCETM
Citations
7
checked on Oct 14, 2024
Page view(s)
32
checked on Jul 31, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.