Date of Publication

11-5-2010

Document Type

Master's Thesis

Degree Name

Master of Science in Computer Science

Subject Categories

Computer Sciences

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Ethel C. Ong

Defense Panel Chair

Charibeth Cheng

Defense Panel Member

Ethel Ong
Nathalie Rose Lim

Abstract/Summary

Suggested Upper Merged Ontology Stories (SUMOs) is a story-generation system that creates stories for children using SUMO as its knowledge representation. SUMO would contain the domain knowledge of the system which is the story facts and events that could happen in the story. The inputs of the system would come from predefined characters, backgrounds/setting, objects and theme which would be transformed into their corresponding SUMO form in the Story Editor module. The progression of the story would be managed by the Story Planner module where it would inference the ontology using SIGMA. The Story Planner would have the meta-knowledge that a children‟s story will comprise an introduction, problem, rising action, solution and climax. The system outputs a story plan in SUMO form which can then be transformed into the human language by a language generator.

Abstract Format

html

Language

English

Format

Print

Electronic File Format

MS WORD

Accession Number

TG04853; CDTG004853

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

iv, 50, xix leaves ; 28 cm. + 1 computer optical disc.

Keywords

Ontology

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