使用语义故事地图描述地图之外的领土

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Semantic Web Pub Date : 2023-12-13 DOI:10.3233/sw-233485
Valentina Bartalesi, Gianpaolo Coro, Emanuele Lenzi, Nicolò Pratelli, Pasquale Pagano, Francesco Felici, Michele Moretti, Gianluca Brunori
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引用次数: 1

摘要

本文介绍了故事地图构建和可视化工具(SMBVT),它允许用户在协作环境和可用的网络界面中创建故事地图。该工具完全开源,并作为免费使用的解决方案发布。它在后端系统中使用语义网技术,通过用于表示叙事的参考本体来表示故事。它建立了一个用户共享的语义知识库,可自动将所有故事相互连接起来,实现无缝协作式故事构建。最后,该系统在面向开放科学的电子基础设施内运行,实现了叙述者社区内的数据和信息共享,并增加了多租户、多用户、安全和访问控制设施。SMBVT 将叙事表示为通过语义关系相关联的时空事件网络,并通过为事件组件,即参与事件的实体(如人、物、地点、概念)分配国际化资源标识符(IRI)来实现事件描述的标准化。该工具会自动将收集到的知识保存为网络本体语言(OWL)图,并将其作为关联开放数据公开发布。这一功能可以将故事事件与其他知识库连接起来。为了评估和展示我们的工具,我们用它来描述托斯卡纳(意大利)的阿普安阿尔卑斯山地区。在用户测试评估的基础上,我们评估了该工具在构建故事地图方面的有效性,以及所生成的故事在地图之外描述该地区的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using semantic story maps to describe a territory beyond its map

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.

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来源期刊
Semantic Web
Semantic Web COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
8.30
自引率
6.70%
发文量
68
期刊介绍: The journal Semantic Web – Interoperability, Usability, Applicability brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas. We especially welcome papers which add a social, spatial, and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics.
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