{"title":"通过 XML 和 O-O 范式为自适应复杂数据密集型网络系统建模和提供支持:OO-XAHM 模型","authors":"","doi":"10.1016/j.array.2024.100363","DOIUrl":null,"url":null,"abstract":"<div><p>The <em>data model</em> is a critical component of an <em>Adaptive Web System</em> (AWS). The major goals of such a data model are describing the <em>application domain</em> of the AWS and capturing data about the user in order to support the “adaptation effect”. There have been many proposals for data models, principally based on knowledge representation, machine learning, logic and reasoning, and, recently, ontologies. These models are focused on the implementation of the core layer of AWS, that is realizing the adaptation of contents and presentations of the system, but sometimes they are poor with respect to the application domain design. In this paper, we present an extension of the state-of-the-art <em>XML Adaptive Hypermedia Model</em> (XAHM), <em>Object-Oriented XAHM</em> (OO-XAHM) that supports the application domain modeling using an <em>object-oriented approach</em>. We also provide the formal definition of the model, its description via <em>Unified Modeling Language</em> (UML), and its implementation using <em>XML Schema</em>. Finally, we provide a complete case study that focuses the attention on the well-known Italian archaeological site <em>Pompeii</em>.</p></div>","PeriodicalId":8417,"journal":{"name":"Array","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590005624000298/pdfft?md5=6d2e89f7a240ad4c3e1b8653672e843f&pid=1-s2.0-S2590005624000298-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Modeling and supporting adaptive Complex Data-Intensive Web Systems via XML and the O-O paradigm: The OO-XAHM model\",\"authors\":\"\",\"doi\":\"10.1016/j.array.2024.100363\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The <em>data model</em> is a critical component of an <em>Adaptive Web System</em> (AWS). The major goals of such a data model are describing the <em>application domain</em> of the AWS and capturing data about the user in order to support the “adaptation effect”. There have been many proposals for data models, principally based on knowledge representation, machine learning, logic and reasoning, and, recently, ontologies. These models are focused on the implementation of the core layer of AWS, that is realizing the adaptation of contents and presentations of the system, but sometimes they are poor with respect to the application domain design. In this paper, we present an extension of the state-of-the-art <em>XML Adaptive Hypermedia Model</em> (XAHM), <em>Object-Oriented XAHM</em> (OO-XAHM) that supports the application domain modeling using an <em>object-oriented approach</em>. We also provide the formal definition of the model, its description via <em>Unified Modeling Language</em> (UML), and its implementation using <em>XML Schema</em>. Finally, we provide a complete case study that focuses the attention on the well-known Italian archaeological site <em>Pompeii</em>.</p></div>\",\"PeriodicalId\":8417,\"journal\":{\"name\":\"Array\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2590005624000298/pdfft?md5=6d2e89f7a240ad4c3e1b8653672e843f&pid=1-s2.0-S2590005624000298-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Array\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590005624000298\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Array","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590005624000298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
摘要
数据模型是自适应网络系统(AWS)的重要组成部分。这种数据模型的主要目标是描述自适应网络系统的应用领域和获取用户数据,以支持 "自适应效果"。关于数据模型的建议有很多,主要是基于知识表示、机器学习、逻辑和推理,以及最近的本体论。这些模型侧重于 AWS 核心层的实现,即实现系统内容和表现形式的适应性,但有时它们在应用领域设计方面存在缺陷。在本文中,我们介绍了最先进的 XML 自适应超媒体模型(XAHM)的扩展,即面向对象的 XAHM(OO-XAHM),它支持使用面向对象的方法进行应用领域建模。我们还提供了该模型的正式定义、统一建模语言(UML)对其的描述以及 XML 模式对其的实现。最后,我们提供了一个完整的案例研究,重点关注著名的意大利庞贝考古遗址。
Modeling and supporting adaptive Complex Data-Intensive Web Systems via XML and the O-O paradigm: The OO-XAHM model
The data model is a critical component of an Adaptive Web System (AWS). The major goals of such a data model are describing the application domain of the AWS and capturing data about the user in order to support the “adaptation effect”. There have been many proposals for data models, principally based on knowledge representation, machine learning, logic and reasoning, and, recently, ontologies. These models are focused on the implementation of the core layer of AWS, that is realizing the adaptation of contents and presentations of the system, but sometimes they are poor with respect to the application domain design. In this paper, we present an extension of the state-of-the-art XML Adaptive Hypermedia Model (XAHM), Object-Oriented XAHM (OO-XAHM) that supports the application domain modeling using an object-oriented approach. We also provide the formal definition of the model, its description via Unified Modeling Language (UML), and its implementation using XML Schema. Finally, we provide a complete case study that focuses the attention on the well-known Italian archaeological site Pompeii.