Automating the Extraction of Domain-Specific Information from the Web-A Case Study for the Genealogical Domain

Current ways of finding genealogical information within the millions of pages on the Web are inadequate. In an effort to help genealogical researchers find desired information more quickly, we have developed GeneTIQS, a Genealogy Target-based Information Query System. GeneTIQS builds on ontology-based methods of data extraction to allow database-style queries on the Web. This thesis makes two main contributions to GeneTIQS. (1) It builds a framework to do generic ontology-based data extraction. (2) It develops a hybrid record separator based on Vector Space Modeling that uses both formatting clues and data clues to split pages into component records. The record separator allows GeneTIQS to extract data from the complex documents common in genealogy. Experiments show that this approach yields 92% recall and 93% precision on documents from the Web.

Name thesis:degree_name

MS

Grantor dc:publisher

Brigham Young University - Provo

Author dc:creator

• Walker, Troy L.

• Information Extraction
• Genealogy
• Computer Sciences

Language dc:language

English

Repository record dc:identifier

https://scholarsarchive.byu.edu/etd/214

OAI identifier oai:identifier

oai:scholarsarchive.byu.edu:etd-1213