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Abughazala† , Henry Muccini † ,† DISIM Department, University of L’Aquila, L’Aquila, Italy  \narXiv : 2306 . 12909v 3 [cs . SE] 23 Jul 2023  \nAbstract—The Internet of Things (IoT) data and social mediadata are two of the fastest-growing data segments. Having high -quality data is crucial for making informed business decisions.The strategic process of leveraging insights from data is knownas data-driven decision-making. To achieve this, it is necessary tocollect, store, analyze, and protect data in the best ways possible.Data architecture is a complex task that involves describing theflow of data from its source to its destination and creating ablueprint for managing the data to meet business needs forinformation. In this paper, we utilize the Data Architecture Tool(DAT) to model data for Digital Space Management Service,which was developed as part of the VASARI project. Thiswork focuses on describing the movement of data, data formats,data location, data processing (batch or real-time), data storagetechnologies, and main operations on the data.  \nIndex Terms—Big Data Architecture, IoT, Data-Driven  \n# I. INTRODUCTION\n\nItaly is one of the famous country in the presence of richcultural heritage sites, attracting millions of visitors every year.As per the latest data from Statista, the cultural heritage sitesin Italy have attracted around 67 million visitors in the last twoyears [1] . The visitors are also showing a growing interest toplay an active and participatory role in the tourism experience,integrating the cultural content of the visit with self-generatedpersonal content and sharing them with the community.  \nThe International Data Corporation (IDC) [2] expects thatby 2025 there will be more than 175 zettabytes of useful data.  \nData Architecture (DA) is an integrated set of specificationartifacts used to define data requirements, guide integration,control data assets, and align data investments with businessstrategy. It also includes an integrated collection of masterblueprints at different levels of abstraction [3] .  \nCultural heritage in Italy, especially museums, is oftenunder-exploited and does not provide adequate support forvisitorsini) locating contents of interest; ii) discovering infor-mation on specific contents; iii) navigating within the heritagesites and iv) creating customized visit routes based on interests.Thereby limiting the affecting the overall experience of thevisitor. To meet these needs, the VASARI project proposes anovel paradigm for sustaining onsite, immersive, inclusive, andcontextualized user experiences by exploiting several recenttechnologies, such as IoT and mobile computing, semantics,big data processing, virtual and augmented reality within aninnovative infrastructure based on microservices deployed inedge, fog and cloud nodes.  \nmoamin.abughazala@graduate.univaq.ithenry.muccini@univaq.it  \nIn this work, we present a DAT [4] [5] (Data ArchitectureTool) to describe Digital Object Space Management Service(DOSM) developed as a part of the VASARI project, DOSMprovides support for the generation of a digital twin thatcaptures the physical space and the cultural assets, and itleverages IoT devices to enable navigation and localizationsupport for visitors, thereby providing them with an immersivevisiting experience. DAT is for modeling data pipeline, datawarehouses, big data architectures (Lambda and Kappa) . Thatmakes managing the visitors and cultural assets data moreeasily.  \nThe paper is organized as follows. Background is presentedin Section II. Our DAT architectural modeling methodologiesare presented in Section III. The method is applied to a realcase study in Section IV, and the conclusions are finally drawnin Section V.  \n# II. BACKGROUND\n\nCAPS is an architecture-driven modeling tool for IoT. CAPSaims to support the architecture description, reasoning, designdecision process, and evaluation of the","cbCaiqo2ZU1owCrU","https://ap.wps.com/l/cbCaiqo2ZU1owCrU","pdf",396841,"English","# I. INTRODUCTION\n## Data Architecture and Digital Space Management Context\n# II. BACKGROUND\n## CAPS and DAT Architecture Modeling\n# III. METHODOLOGY\n## Data Modeling Language (DAML) and Meta-Model","[{\"question\":\"Why is data architecture important for IoT and social media data-driven decision-making?\",\"answer\":\"High-quality data is required to make informed business decisions. Data architecture specifies how data is collected, stored, analyzed, and protected to support business needs.\"},{\"question\":\"What does the DAT tool model in the DOSM service within the VASARI project?\",\"answer\":\"DAT models the movement of data, data formats, data locations, data processing (batch or real-time), storage technologies, and main operations on the data.\"},{\"question\":\"What key capabilities do CAPS and DAT provide according to the background section?\",\"answer\":\"CAPS is an architecture-driven modeling tool for IoT that supports architecture description, reasoning, design decision processes, and evaluation. DAT describes data flow between data nodes and supports high- and low-level architecture views.\"}]","Data Architecture for Digital Object Space Management Service (DOSM) using DAT | PDF"]