Abstract

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.

Degree

MS

College and Department

Physical and Mathematical Sciences; Computer Science

Rights

http://lib.byu.edu/about/copyright/

Date Submitted

2004-11-23

Document Type

Thesis

Handle

http://hdl.lib.byu.edu/1877/etd607

Keywords

Information Extraction, Genealogy

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