Title :
Aligning Data Records Using WordNet
Author :
Hong, Jer Lang ; Siew, Eu-Gene ; Egerton, Simon
Author_Institution :
Sch. of IT, Monash Univ., Monash, VIC, Australia
Abstract :
Visual wrappers use visual information in addition to the DOM Tree properties in the extraction of data records. However, a closer look indicates that visual information can also be used to align data records into tabular form. In this paper, we propose a data alignment algorithm to align data records using DOM Tree properties and visual cue of data records. Our data alignment algorithm uses a regular expression rule and incorporates visual cue such as relative position and size of data items to provide options for the alignment of iterative and disjunctive data items. Results show that our wrapper performs better than existing state of the art wrappers.
Keywords :
Web sites; natural language processing; ontologies (artificial intelligence); tree data structures; word processing; WordNet; data records alignment; disjunctive data item; iterative data item; lexical database; ontological technique; Data mining; Databases; HTML; Information retrieval; Metasearch; Ontologies; Positron emission tomography; Search engines; Tree data structures; Web pages; Automatic Wrapper; Ontology domain; Search Engines Result Pages;
Conference_Titel :
Computer Research and Development, 2010 Second International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-0-7695-4043-6
DOI :
10.1109/ICCRD.2010.79