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Formal Verification of Semistructured Data Models in PVS
- Lee, Scott Uk-Jin;
- Dobbie, Gillian;
- Sun, Jing;
- Groves, Lindsay
WEB OF SCIENCE
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2초록
The rapid growth of the World Wide Web has resulted in a dramatic increase in semistructured data usage, creating a growing need for effective and efficient utilization of semistructured data. In order to verify the correctness of semistructured data design, precise descriptions of the schemas and transformations on the schemas must be established. One effective way to achieve this goal is through formal modeling and automated verification. This paper presents the first step towards this goal. In our approach, we have formally specified the semantics of the ORA-SS (Object-Relationship- Attribute data model for Semistructured data) data modeling language in PVS (Prototype Verification System) and provided automated verification support for both ORA-SS schemas and XML (Extensible Markup Language) data instances using the PVS theorem prover. This approach provides a solid basis for verifying algorithms that transform schemas for semistructured data.
키워드
- 제목
- Formal Verification of Semistructured Data Models in PVS
- 저자
- Lee, Scott Uk-Jin; Dobbie, Gillian; Sun, Jing; Groves, Lindsay
- 발행일
- 2009-01
- 유형
- Article; Proceedings Paper
- 권
- 15
- 호
- 1
- 페이지
- 241 ~ 272
- 언어
- ENG
- 출판사
- GRAZ UNIV TECHNOLGOY, INST INFORMATION SYSTEMS COMPUTER MEDIA-IICM
- 발행국가
- 오스트리아
- 분량
- 32 페이지
- ISSN
- P 0948-695X