onto2problog: A Probabilistic Ontology-Mediated Querying System using Probabilistic Logic Programming.

IF 2.8 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Kunstliche Intelligenz Pub Date : 2020-01-01 Epub Date: 2020-06-06 DOI:10.1007/s13218-020-00670-x

Timothy van Bremen, Anton Dries, Jean Christoph Jung

引用次数: 3

Abstract

We present onto2problog, a tool that supports ontology-mediated querying of probabilistic data via probabilistic logic programming engines. Our tool supports conjunctive queries on probabilistic data under ontologies encoded in the description logic ${ELH}^{dr}$ , thus capturing a large part of the OWL 2 EL profile.

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基于概率逻辑规划的概率本体论中介查询系统。

我们提出了onto2problog，一个支持通过概率逻辑编程引擎对概率数据进行本体中介查询的工具。我们的工具支持在描述逻辑ELH dr中编码的本体下对概率数据进行联合查询，从而捕获owl2 EL配置文件的很大一部分。

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

Kunstliche Intelligenz COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

8.60

自引率

3.40%

发文量

期刊介绍： Artificial Intelligence has successfully established itself as a scientific discipline in research and education and has become an integral part of Computer Science with an interdisciplinary character. AI deals with both the development of information processing systems that deliver “intelligent” services and with the modeling of human cognitive skills with the help of information processing systems. Research, development and applications in the field of AI pursue the general goal of creating processes for taking in and processing information that more closely resemble human problem-solving behavior, and to subsequently use those processes to derive methods that enhance and qualitatively improve conventional information processing systems. KI – Künstliche Intelligenz is the official journal of the division for artificial intelligence within the ''Gesellschaft für Informatik e.V.'' (GI) – the German Informatics Society – with contributions from the entire field of artificial intelligence. The journal presents fundamentals and tools, their use and adaptation for scientific purposes, and applications that are implemented using AI methods – and thus provides readers with the latest developments in and well-founded background information on all relevant aspects of artificial intelligence. A highly reputed team of editors from both university and industry will ensure the scientific quality of the articles.The journal provides all members of the AI community with quick access to current topics in the field, while also promoting vital interdisciplinary interchange, it will as well serve as a media of communication between the members of the division and the parent society. The journal is published in English. Content published in this journal is peer reviewed (Double Blind).