Transforming Entity-Relationship Diagrams to Relational Schemas Using a Graph Grammar Formalism
dc.contributor.VIAF | 65983012 (Zhang, K) | |
dc.contributor.author | Liu, Y. | |
dc.contributor.author | Zeng, X. | |
dc.contributor.author | Zhang, Kang | |
dc.contributor.author | Zou, Y. | |
dc.contributor.utdAuthor | Zhang, Kang | |
dc.date.accessioned | 2020-02-20T20:04:50Z | |
dc.date.available | 2020-02-20T20:04:50Z | |
dc.date.issued | 2018-12 | |
dc.description | Due to copyright restrictions and/or publisher's policy full text access from Treasures at UT Dallas is limited to current UTD affiliates (use the provided Link to Article). | |
dc.description.abstract | As a formal tool extended from string grammars, graph grammars provide an intuitive yet formal way to define and transform various visual languages. This paper proposes an approach to transform Entity-Relationship diagrams (E-R diagrams) to relational schemas using a graph grammar formalism. We briefly introduce the edge-based graph grammar, on which a set of productions is designed for specifying the syntax of E-R diagrams. The set of productions can be used to verify the validity of any given E-R diagram. In addition, a procedure of transforming a given E-R diagram to a relational schema is added into the parsing process. Via the graph grammar, the automatic transformation is rigorous yet concise. We finally provide an example E-R diagram for a business management system and its transformation into relational schemas to demonstrate the specification, transformation and analyzing the power of our approach. ©2018 IEEE. | |
dc.description.department | Erik Jonsson School of Engineering and Computer Science | |
dc.description.sponsorship | This work is partially supported by the National Natural Science Foundation of China under grant 61170089 and 61572348, and China Scholarship Council (CSC) under the Grant CSC No. 201706710082. | |
dc.identifier.bibliographicCitation | Liu, Y., X. Zeng, K. Zhang, and Y. Zou. 2019. "Transforming Entity-Relationship Diagrams to Relational Schemas Using a Graph Grammar Formalism." 2018 IEEE International Conference on Progress in Informatics and Computing: 327-331, doi: 10.1109/PIC.2018.8706334 | |
dc.identifier.isbn | 9781538676707 | |
dc.identifier.uri | http://dx.doi.org/10.1109/PIC.2018.8706334 | |
dc.identifier.uri | https://hdl.handle.net/10735.1/7288 | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.relation.isPartOf | ">2018 IEEE International Conference on Progress in Informatics and Computing | |
dc.rights | ©2018 IEEE | |
dc.subject | Entity-relationship modeling | |
dc.subject | Graph grammars | |
dc.subject | Parsing (Computer grammar) | |
dc.subject | Data mining | |
dc.subject | Graph theory | |
dc.subject | Graphic methods | |
dc.subject | Semantics (Philosophy) | |
dc.subject | Visual programming languages (Computer science) | |
dc.subject | Formal languages | |
dc.title | Transforming Entity-Relationship Diagrams to Relational Schemas Using a Graph Grammar Formalism | |
dc.type.genre | article |
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