{"title":"A Systematic Relationship Analysis for Modeling Information Domains","authors":"Joonhee Yoo, M. Bieber","doi":"10.4018/978-1-878289-77-3.ch024","DOIUrl":null,"url":null,"abstract":"Many conceptual modeling and system design methodologies provide tools to help system designers to model the real world. No guidelines exist, however, for determining the relationships within conceptual domains or implementations. RNA (Relationship Navigation Analysis), based on a generic relationship taxonomy, provides a systematic way of identifying useful relationships in application domains. Developers can then implement each relationship as a link. Viewing an application domain from the relationship management point of view and modeling from a philosophy of maximum access provides a unique vantage point for application design. We present RNA and its generic relationship taxonomy, describing their use for system analysis. 1. Motivation When reengineering a legacy system for the World Wide Web or developing a new Web application, how does a systems developer determine what to link? A vital aspect of hypermedia system design is identifying relationships and implementing them as links [Fielding et al., 1998]. Yet, many relationships in applications—including analytic applications—are poorly identified or ignored in current hypermedia design methodologies [Isakowitz et al., 1995, Koufaris, 1998, Lange, 1994, Schwabe et al., 1996]. Furthermore, many Web applications do not take advantage of the major hypermedia features of the Web—linking, structural and navigational features. Few designers explicitly think about their applications' interrelationships and whether users should access and navigate them directly. This occurs for several reasons [Bieber and Vitali, 1997]. In part, existing applications demonstrate a rich link structure that could serve as examples for system developers. In part, few tools exist that help system developers to think of an application in terms of its relationships [Bieber, 1998a, Bieber, 1998b]. RNA (Relationship Navigation Analysis) was developed to solve these problems. RNA can be used as part of a systems analysis, either to thoroughly describe an existing system (or information domain) in terms of its relationships, or to understand a system being designed. RNA provides systems analysts with a systematic technique for determining the relationship structure of an application, helping them to discover all potentially useful relationships in application domains. These later may be implemented as links. RNA also helps determine appropriate navigational structures on top of these links. RNA enhances system developers' understanding of application domains by broadening and deepening their conceptual model of the domain. Developers can then","PeriodicalId":326533,"journal":{"name":"Information Modeling in the New Millennium","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Modeling in the New Millennium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-878289-77-3.ch024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Many conceptual modeling and system design methodologies provide tools to help system designers to model the real world. No guidelines exist, however, for determining the relationships within conceptual domains or implementations. RNA (Relationship Navigation Analysis), based on a generic relationship taxonomy, provides a systematic way of identifying useful relationships in application domains. Developers can then implement each relationship as a link. Viewing an application domain from the relationship management point of view and modeling from a philosophy of maximum access provides a unique vantage point for application design. We present RNA and its generic relationship taxonomy, describing their use for system analysis. 1. Motivation When reengineering a legacy system for the World Wide Web or developing a new Web application, how does a systems developer determine what to link? A vital aspect of hypermedia system design is identifying relationships and implementing them as links [Fielding et al., 1998]. Yet, many relationships in applications—including analytic applications—are poorly identified or ignored in current hypermedia design methodologies [Isakowitz et al., 1995, Koufaris, 1998, Lange, 1994, Schwabe et al., 1996]. Furthermore, many Web applications do not take advantage of the major hypermedia features of the Web—linking, structural and navigational features. Few designers explicitly think about their applications' interrelationships and whether users should access and navigate them directly. This occurs for several reasons [Bieber and Vitali, 1997]. In part, existing applications demonstrate a rich link structure that could serve as examples for system developers. In part, few tools exist that help system developers to think of an application in terms of its relationships [Bieber, 1998a, Bieber, 1998b]. RNA (Relationship Navigation Analysis) was developed to solve these problems. RNA can be used as part of a systems analysis, either to thoroughly describe an existing system (or information domain) in terms of its relationships, or to understand a system being designed. RNA provides systems analysts with a systematic technique for determining the relationship structure of an application, helping them to discover all potentially useful relationships in application domains. These later may be implemented as links. RNA also helps determine appropriate navigational structures on top of these links. RNA enhances system developers' understanding of application domains by broadening and deepening their conceptual model of the domain. Developers can then