Using semantic story maps to describe a territory beyond its map

Author:

Bartalesi Valentina1,Coro Gianpaolo1,Lenzi Emanuele1,Pratelli Nicolò1,Pagano Pasquale1,Felici Francesco2,Moretti Michele2,Brunori Gianluca2

Affiliation:

1. Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo” (ISTI), Consiglio Nazionale delle Ricerche (CNR), via G. Moruzzi 1, Pisa, Italy

2. Dipartimento di Scienze Agrarie, Alimentari e Agro-ambientali, Università di Pisa, via del Borghetto 80, Pisa, Italy

Abstract

The paper presents the Story Map Building and Visualizing Tool (SMBVT) that allows users to create story maps within a collaborative environment and a usable Web interface. It is entirely open-source and published as a free-to-use solution. It uses Semantic Web technologies in the back-end system to represent stories through a reference ontology for representing narratives. It builds up a user-shared semantic knowledge base that automatically interconnects all stories and seamlessly enables collaborative story building. Finally, it operates within an Open-Science oriented e-Infrastructure, which enables data and information sharing within communities of narrators, and adds multi-tenancy, multi-user, security, and access-control facilities. SMBVT represents narratives as a network of spatiotemporal events related by semantic relations and standardizes the event descriptions by assigning internationalized resource identifiers (IRIs) to the event components, i.e., the entities that take part in the event (e.g., persons, objects, places, concepts). The tool automatically saves the collected knowledge as a Web Ontology Language (OWL) graph and openly publishes it as Linked Open Data. This feature allows connecting the story events to other knowledge bases. To evaluate and demonstrate our tool, we used it to describe the Apuan Alps territory in Tuscany (Italy). Based on a user-test evaluation, we assessed the tool’s effectiveness at building story maps and the ability of the produced story to describe the territory beyond the map.

Publisher

IOS Press

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference30 articles.

1. Creating a user-friendly interactive interpretive resource with ESRI’s ArcGIS story map program;Alemy;Historical archaeology,2017

2. The gCube system: Delivering virtual research environments as-a-service;Assante;Future Generation Computer Systems,2019

3. Enacting open science by D4Science;Assante;Future Generation Computer Systems,2019

4. The gCube system: Delivering Virtual Research Environments as-a-Service

5. D.H. Awards, Best DH tool or suite of tools, 2023, available at: http://dhawards.org/dhawards2022/results/.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3