A Graph DB-Based Solution for Semantic Technologies in the Future Internet

IF 2.8 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Future Internet Pub Date : 2023-10-20 DOI:10.3390/fi15100345

Stefano Ferilli, Eleonora Bernasconi, Davide Di Pierro, Domenico Redavid

引用次数: 0

Abstract

With the progressive improvements in the power, effectiveness, and reliability of AI solutions, more and more critical human problems are being handled by automated AI-based tools and systems. For more complex or particularly critical applications, the level of knowledge, not just information, must be handled by systems where explicit relationships among objects are represented and processed. For this purpose, the knowledge representation branch of AI proposes Knowledge Graphs, widely used in the Semantic Web, where different online applications may interact by understanding the meaning of the data they process and exchange. This paper describes a framework and online platform for the Internet-based knowledge graph definition, population, and exploitation based on the LPG graph model. Its main advantages are its efficiency and representational power and the wide range of functions that it provides to its users beyond traditional Semantic Web reasoning: network analysis, data mining, multistrategy reasoning, and knowledge browsing. Still, it can also be mapped onto the SW.

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基于图数据库的未来互联网语义技术解决方案

随着人工智能解决方案的功能、有效性和可靠性的不断提高，越来越多的关键人类问题正在由基于人工智能的自动化工具和系统来处理。对于更复杂或特别关键的应用程序，不仅仅是信息，知识级别必须由表示和处理对象之间显式关系的系统来处理。为此，人工智能的知识表示分支提出了知识图，广泛用于语义网，其中不同的在线应用程序可以通过理解它们处理和交换的数据的含义进行交互。本文描述了一个基于LPG图模型的基于互联网的知识图的定义、填充和开发的框架和在线平台。它的主要优点是它的效率和表示能力，以及它为用户提供的超出传统语义Web推理的广泛功能:网络分析、数据挖掘、多策略推理和知识浏览。不过，它也可以映射到SW上。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Future Internet Computer Science-Computer Networks and Communications

CiteScore

7.10

自引率

5.90%

发文量

303

审稿时长

11 weeks

期刊介绍： Future Internet is a scholarly open access journal which provides an advanced forum for science and research concerned with evolution of Internet technologies and related smart systems for “Net-Living” development. The general reference subject is therefore the evolution towards the future internet ecosystem, which is feeding a continuous, intensive, artificial transformation of the lived environment, for a widespread and significant improvement of well-being in all spheres of human life (private, public, professional). Included topics are: • advanced communications network infrastructures • evolution of internet basic services • internet of things • netted peripheral sensors • industrial internet • centralized and distributed data centers • embedded computing • cloud computing • software defined network functions and network virtualization • cloud-let and fog-computing • big data, open data and analytical tools • cyber-physical systems • network and distributed operating systems • web services • semantic structures and related software tools • artificial and augmented intelligence • augmented reality • system interoperability and flexible service composition • smart mission-critical system architectures • smart terminals and applications • pro-sumer tools for application design and development • cyber security compliance • privacy compliance • reliability compliance • dependability compliance • accountability compliance • trust compliance • technical quality of basic services.