Rewriting Approaches for Ontology-Mediated Query Answering.

IF 2.8 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Kunstliche Intelligenz Pub Date : 2020-01-01 Epub Date: 2020-06-11 DOI:10.1007/s13218-020-00671-w

Shqiponja Ahmetaj

引用次数: 0

Abstract

A most promising approach to answering queries in ontology-based data access (OBDA) is through query rewriting. In this paper we present novel rewriting approaches for several extensions of OBDA. The goal is to understand their relative expressiveness and to pave the way for efficient query answering algorithms.

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以本体为媒介的查询应答重写方法。

在基于本体的数据访问（OBDA）中，回答查询最有前途的方法是查询重写。在本文中，我们为 OBDA 的几个扩展提出了新颖的重写方法。目的是了解它们的相对表达能力，并为高效的查询回答算法铺平道路。

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).