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APPLYING SEMANTIC WEB TECHNOLOGIES FOR INFORMATION
MANAGEMENT IN DOMAINS WITH SEMI-STRUCTURED DATA
by
Ramakrishna Soma
A Dissertation Presented to the
FACULTY OF THE GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(COMPUTER SCIENCE)
December 2008
Copyright 2008 Ramakrishna Soma
Object Description
| Title | Applying semantic web technologies for information management in domains with semi-structured data |
| Author | Soma, Ramakrishna |
| Author email | rsoma@usc.edu; ramsoma@gmail.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Computer Science |
| School | Viterbi School of Engineering |
| Date defended/completed | 2008-09-12 |
| Date submitted | 2008 |
| Restricted until | Unrestricted |
| Date published | 2008-12-07 |
| Advisor (committee chair) | Prasanna, Viktor |
| Advisor (committee member) |
Nakano, Aiichiro Raghavendra, Cauligi |
| Abstract | The two main goals of this thesis are to demonstrate applications of semantic web applications for domains with semi-structured data and propose scalable techniques for building such applications. To this end we first describe an adaptation of the agile methodology for building large scale semantic web applications. When applying this methodology the ontology is constantly modified. Due to this other artifacts- including the queries, messages, application code etc. that depend on it also need to be modified to keep them consistent with the new ontology. We propose a novel technique that detects the SPARQL queries that need to be modified due to changes to an OWL ontology. We present an implementation of our technique as an extension to a popular ontology development tool which makes it a convenient environment for the ontology engineer in our methodology.; We then present a case-study that demonstrates applications of semantic web technology in the oil-field application domain. We highlight two components that enable various information management applications. The metadata catalog stores provenance information, access information and key pieces of data that are extracted from (semi-structured) documents. We present the lessons learnt, best practices and some empirical analysis obtained from a significant effort in implementing this component. The second component we present is a semantic lookup component. This component is used to simplify the development of services that aggregate and transform information from various services.; Finally we propose a parallelization approach to improve the performance of OWL inferencing process- a key bottleneck in semantic web applications. We propose two approaches to efficiently partition the computational workload of the inferencing. A generic parallel algorithm is used for inferencing on the partitions created by these. Experimental results obtained from an implementation of our algorithm show significant speedups for two popular benchmarks and our own data set which makes this a promising approach for scaling OWL reasoning. |
| Keyword | semantic web; information management |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m1885 |
| Rights | Soma, Ramakrishna |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | http://www.usc.edu/isd/libraries/services/ask_a_librarian/email/ |
| Filename | etd-Soma-2468 |
| Archival file | uscthesesreloadpub_Volume44/etd-Soma-2468.pdf |
Description
| Title | Page 1 |
| Full text | APPLYING SEMANTIC WEB TECHNOLOGIES FOR INFORMATION MANAGEMENT IN DOMAINS WITH SEMI-STRUCTURED DATA by Ramakrishna Soma A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (COMPUTER SCIENCE) December 2008 Copyright 2008 Ramakrishna Soma |
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