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Titlebook: Ontology-Based Data Access Leveraging Subjective Reports; Gerardo I. Simari,Cristian Molinaro,Livia Predoiu Book 2017 Springer Internation

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發(fā)表于 2025-3-21 17:50:55 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Ontology-Based Data Access Leveraging Subjective Reports
編輯Gerardo I. Simari,Cristian Molinaro,Livia Predoiu
視頻videohttp://file.papertrans.cn/702/701728/701728.mp4
概述Includes supplementary material:
叢書名稱SpringerBriefs in Computer Science
圖書封面Titlebook: Ontology-Based Data Access Leveraging Subjective Reports;  Gerardo I. Simari,Cristian Molinaro,Livia Predoiu Book 2017 Springer Internation
描述.This SpringerBrief? reviews the knowledge engineering problem of engineering objectivity in top-k query answering; essentially, answers must be computed taking into account the user’s preferences and a collection of (subjective) reports provided by other users. Most assume each report can be seen as a set of scores for a list of features, its author’s preferences among the features, as well as other information is discussed in this brief. These pieces of information for every report are then combined, along with the querying user’s preferences and their trust in each report, to rank the query results. Everyday examples of this setup are the online reviews that can be found in sites like Amazon, Trip Advisor, and Yelp, among many others..Throughout this knowledge engineering effort the authors adopt the Datalog+/– family of ontology languages as the underlying knowledge representation and reasoning formalism, and investigate several alternative ways in which rankings can b.ederived, along with algorithms for top-k (atomic) query answering under these rankings. This SpringerBrief also investigate assumptions under which our algorithms run in polynomial time in the data complexity..
出版日期Book 2017
關(guān)鍵詞Semantic web; Knowledge engineering; Computational objectivity; Reasoning with preferences; Reasoning un
版次1
doihttps://doi.org/10.1007/978-3-319-65229-0
isbn_softcover978-3-319-65228-3
isbn_ebook978-3-319-65229-0Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightSpringer International Publishing AG 2017
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發(fā)表于 2025-3-21 22:53:51 | 只看該作者
Models for Representing User Preferences,any different disciplines. Most relevant to our work are the developments in the computer science literature, and in particular the incorporation of preferences into different kinds of query answering systems. Even within this specialized application, several approaches have been developed centered
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發(fā)表于 2025-3-22 16:11:06 | 只看該作者
Gerardo I. Simari,Cristian Molinaro,Maria Vanina Martinez,Thomas Lukasiewicz,Livia Predoiuer Unternehmungen. So auch im institutionalen. Handel, wo die einzelbetriebliche Zielsetzung eines satisfizierenden Return an Investment (ROI) den Einsatz von Innovationskraft und eine klare Kundenfokussierung verlangt. Eine solche ?dynamische Marktorientierung“ ist vom Ansatz her nicht neu. So fiih
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發(fā)表于 2025-3-22 17:02:13 | 只看該作者
Gerardo I. Simari,Cristian Molinaro,Maria Vanina Martinez,Thomas Lukasiewicz,Livia Predoiuer Unternehmungen. So auch im institutionalen. Handel, wo die einzelbetriebliche Zielsetzung eines satisfizierenden Return an Investment (ROI) den Einsatz von Innovationskraft und eine klare Kundenfokussierung verlangt. Eine solche ?dynamische Marktorientierung“ ist vom Ansatz her nicht neu. So fiih
8#
發(fā)表于 2025-3-22 21:59:34 | 只看該作者
2191-5768 swering; essentially, answers must be computed taking into account the user’s preferences and a collection of (subjective) reports provided by other users. Most assume each report can be seen as a set of scores for a list of features, its author’s preferences among the features, as well as other inf
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發(fā)表于 2025-3-23 04:37:14 | 只看該作者
,Ontology-Based Data Access with Datalog+/?,arative) language. This formalization makes the knowledge available for machine processing, facilitating in this way its interchange. For this reason, in the last years, ontologies have been of increasing interest in many and diverse applications, especially in the context of artificial intelligence (AI), the Semantic Web, and data integration.
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