Challenges in Managing Information Extraction

In this dissertation, we develop solutions to the key challenges mentioned above. First, we develop a declarative framework that can help make it easier for developers to write and understand IE programs, and show how to automatically optimize IE programs written in this framework to reduce runtime. Next, given that relational database systems (RDBMSs) were designed to store and process large data sets, we study the benefits and limitations of employing RDBMSs for storing and processing data in IE applications. Finally, we extend our declarative framework to enable best-effort IE, allowing developers to more easily write and refine approximate IE programs. A key idea underlying these solutions is that many of the principles behind RDBMSs for managing structured data can be extended to IE for managing unstructured data.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Shen, Warren H.

Contributors dc:contributor

• Doan, AnHai

• Computer Science

Language dc:language

eng

Identifier

(MiAaPQ)AAI3392471

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81863