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Ontology-Mediated Querying with Horn Description Logics. 基于Horn描述逻辑的本体中介查询。
IF 2.9
Kunstliche Intelligenz Pub Date : 2020-01-01 Epub Date: 2020-06-21 DOI: 10.1007/s13218-020-00674-7
Leif Sabellek
{"title":"Ontology-Mediated Querying with Horn Description Logics.","authors":"Leif Sabellek","doi":"10.1007/s13218-020-00674-7","DOIUrl":"https://doi.org/10.1007/s13218-020-00674-7","url":null,"abstract":"<p><p>An ontology-mediated query (OMQ) consists of a database query paired with an ontology. When evaluated on a database, an OMQ returns not only the answers that are already in the database, but also those answers that can be obtained via logical reasoning using rules from ontology. There are many open questions regarding the complexities of problems related to OMQs. Motivated by the use of ontologies in practice, new reasoning problems which have never been considered in the context of ontologies become relevant, since they can improve the usability of ontology enriched systems. This thesis deals with various reasoning problems that emerge from ontology-mediated querying and it investigates the computational complexity of these problems. We focus on ontologies formulated in Horn description logics, which are a popular choice for ontologies in practice. In particular, the thesis gives results regarding the data complexity of OMQ evaluation by completely classifying complexity and rewritability questions for OMQs based on an EL ontology and a conjunctive query. Furthermore, the query-by-example problem, and the expressibility and verification problem in ontology-based data access are introduced and investigated.</p>","PeriodicalId":45413,"journal":{"name":"Kunstliche Intelligenz","volume":"34 4","pages":"533-537"},"PeriodicalIF":2.9,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s13218-020-00674-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38738074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Tiefes Lernen kann komplexe Zusammenhänge erfassen 深入学习能理解复杂的因素
IF 2.9
Kunstliche Intelligenz Pub Date : 2020-01-01 DOI: 10.1007/978-3-658-30211-5_4
Gerhard Paass, D. Hecker
{"title":"Tiefes Lernen kann komplexe Zusammenhänge erfassen","authors":"Gerhard Paass, D. Hecker","doi":"10.1007/978-3-658-30211-5_4","DOIUrl":"https://doi.org/10.1007/978-3-658-30211-5_4","url":null,"abstract":"","PeriodicalId":45413,"journal":{"name":"Kunstliche Intelligenz","volume":"1 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"51271663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AI in Medicine, Covid-19 and Springer Nature's Open Access Agreement. 医学中的人工智能，Covid-19和施普林格自然的开放获取协议。
IF 2.9
Kunstliche Intelligenz Pub Date : 2020-01-01 Epub Date: 2020-06-03 DOI: 10.1007/s13218-020-00661-y
Daniel Sonntag
{"title":"AI in Medicine, Covid-19 and Springer Nature's Open Access Agreement.","authors":"Daniel Sonntag","doi":"10.1007/s13218-020-00661-y","DOIUrl":"https://doi.org/10.1007/s13218-020-00661-y","url":null,"abstract":"","PeriodicalId":45413,"journal":{"name":"Kunstliche Intelligenz","volume":"34 2","pages":"123-125"},"PeriodicalIF":2.9,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s13218-020-00661-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38031134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Special Issue on Ontologies and Data Management: Part I. 本体论和数据管理特刊:第一部分。
IF 2.9
Kunstliche Intelligenz Pub Date : 2020-01-01 Epub Date: 2020-09-16 DOI: 10.1007/s13218-020-00682-7
Thomas Schneider, Mantas Šimkus
{"title":"Special Issue on Ontologies and Data Management: Part I.","authors":"Thomas Schneider,&nbsp;Mantas Šimkus","doi":"10.1007/s13218-020-00682-7","DOIUrl":"https://doi.org/10.1007/s13218-020-00682-7","url":null,"abstract":"","PeriodicalId":45413,"journal":{"name":"Kunstliche Intelligenz","volume":"34 3","pages":"287-289"},"PeriodicalIF":2.9,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s13218-020-00682-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38404251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Fazit und Ausblick 结论与前景
IF 2.9
Kunstliche Intelligenz Pub Date : 2020-01-01 DOI: 10.1007/978-3-658-30506-2_12
Sabine von Oelffen, U. Bär
{"title":"Fazit und Ausblick","authors":"Sabine von Oelffen, U. Bär","doi":"10.1007/978-3-658-30506-2_12","DOIUrl":"https://doi.org/10.1007/978-3-658-30506-2_12","url":null,"abstract":"","PeriodicalId":45413,"journal":{"name":"Kunstliche Intelligenz","volume":"1 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"51271844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AI for Ancient Games: Report on the Digital Ludeme Project. 古代游戏AI: Digital Ludeme项目报告
IF 2.9
Kunstliche Intelligenz Pub Date : 2020-01-01 Epub Date: 2019-07-01 DOI: 10.1007/s13218-019-00600-6
Cameron Browne
{"title":"AI for Ancient Games: Report on the Digital Ludeme Project.","authors":"Cameron Browne","doi":"10.1007/s13218-019-00600-6","DOIUrl":"https://doi.org/10.1007/s13218-019-00600-6","url":null,"abstract":"<p><p>This report summarises the Digital Ludeme Project, a recently launched 5-year research project being conducted at Maastricht University. This computational study of the world's traditional strategy games seeks to improve our understanding of early games, their development, and their role in the spread of related mathematical ideas throughout recorded human history.</p>","PeriodicalId":45413,"journal":{"name":"Kunstliche Intelligenz","volume":"34 1","pages":"89-93"},"PeriodicalIF":2.9,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s13218-019-00600-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37912904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Ontologies and Data Management: A Brief Survey. 本体论与数据管理：本体论与数据管理：简要调查。
IF 2.9
Kunstliche Intelligenz Pub Date : 2020-01-01 Epub Date: 2020-08-13 DOI: 10.1007/s13218-020-00686-3
Thomas Schneider, Mantas Šimkus
{"title":"Ontologies and Data Management: A Brief Survey.","authors":"Thomas Schneider, Mantas Šimkus","doi":"10.1007/s13218-020-00686-3","DOIUrl":"10.1007/s13218-020-00686-3","url":null,"abstract":"<p><p>Information systems have to deal with an increasing amount of data that is heterogeneous, unstructured, or incomplete. In order to align and complete data, systems may rely on taxonomies and background knowledge that are provided in the form of an ontology. This survey gives an overview of research work on the use of ontologies for accessing incomplete and/or heterogeneous data.</p>","PeriodicalId":45413,"journal":{"name":"Kunstliche Intelligenz","volume":"34 3","pages":"329-353"},"PeriodicalIF":2.9,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7497697/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38442163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Rewriting Approaches for Ontology-Mediated Query Answering. 以本体为媒介的查询应答重写方法。
IF 2.9
Kunstliche Intelligenz Pub Date : 2020-01-01 Epub Date: 2020-06-11 DOI: 10.1007/s13218-020-00671-w
Shqiponja Ahmetaj
{"title":"Rewriting Approaches for Ontology-Mediated Query Answering.","authors":"Shqiponja Ahmetaj","doi":"10.1007/s13218-020-00671-w","DOIUrl":"10.1007/s13218-020-00671-w","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":45413,"journal":{"name":"Kunstliche Intelligenz","volume":"34 4","pages":"523-526"},"PeriodicalIF":2.9,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732797/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38738073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Measuring the Quality of Explanations: The System Causability Scale (SCS): Comparing Human and Machine Explanations. 测量解释的质量:系统因果性量表(SCS):比较人类和机器的解释。
IF 2.9
Kunstliche Intelligenz Pub Date : 2020-01-01 Epub Date: 2020-01-21 DOI: 10.1007/s13218-020-00636-z
Andreas Holzinger, André Carrington, Heimo Müller
{"title":"Measuring the Quality of Explanations: The System Causability Scale (SCS): Comparing Human and Machine Explanations.","authors":"Andreas Holzinger,&nbsp;André Carrington,&nbsp;Heimo Müller","doi":"10.1007/s13218-020-00636-z","DOIUrl":"https://doi.org/10.1007/s13218-020-00636-z","url":null,"abstract":"<p><p>Recent success in Artificial Intelligence (AI) and Machine Learning (ML) allow problem solving automatically without any human intervention. Autonomous approaches can be very convenient. However, in certain domains, e.g., in the medical domain, it is necessary to enable a domain expert to understand, <i>why</i> an algorithm came up with a certain result. Consequently, the field of Explainable AI (xAI) rapidly gained interest worldwide in various domains, particularly in medicine. Explainable AI studies transparency and traceability of opaque AI/ML and there are already a huge variety of methods. For example with layer-wise relevance propagation relevant parts of inputs to, and representations in, a neural network which caused a result, can be highlighted. This is a first important step to ensure that end users, e.g., medical professionals, assume responsibility for decision making with AI/ML and of interest to professionals and regulators. Interactive ML adds the component of human expertise to AI/ML processes by enabling them to re-enact and retrace AI/ML results, e.g. let them check it for plausibility. This requires new human-AI interfaces for explainable AI. In order to build effective and efficient interactive human-AI interfaces we have to deal with the question of <i>how to evaluate the quality of explanations</i> given by an explainable AI system. In this paper we introduce our System Causability Scale to measure the quality of explanations. It is based on our notion of Causability (Holzinger et al. in Wiley Interdiscip Rev Data Min Knowl Discov 9(4), 2019) combined with concepts adapted from a widely-accepted usability scale.</p>","PeriodicalId":45413,"journal":{"name":"Kunstliche Intelligenz","volume":"34 2","pages":"193-198"},"PeriodicalIF":2.9,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s13218-020-00636-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38053584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 218
Steuerrechtliche Aspekte Steuerrechtliche方面
IF 2.9
Kunstliche Intelligenz Pub Date : 2020-01-01 DOI: 10.1007/978-3-658-30506-2_7
U. Bär
{"title":"Steuerrechtliche Aspekte","authors":"U. Bär","doi":"10.1007/978-3-658-30506-2_7","DOIUrl":"https://doi.org/10.1007/978-3-658-30506-2_7","url":null,"abstract":"","PeriodicalId":45413,"journal":{"name":"Kunstliche Intelligenz","volume":"1 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"51272593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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