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Ontology Based Data Access Leveraging by Simari Gerardo (16 results)
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Ontology-Based Data Access Leveraging Subjective Reports (SpringerBriefs in Computer Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Ontology-Based Data Access Leveraging Subjective Reports
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Paperback. Condition: New.
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Ontology-Based Data Access Leveraging Subjective Reports
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Ontology-based Data Access Leveraging Subjective Reports
Published by Springer-Verlag New York Inc, 2017
ISBN 10: 3319652281 ISBN 13: 9783319652283
Language: English
Paperback. Condition: Brand New. 77 pages. 9.00x6.00x0.25 inches. In Stock.
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Condition: New. pp. 85.
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Ontology-Based Data Access Leveraging Subjective Reports
Published by Springer International Publishing, 2017
ISBN 10: 3319652281 ISBN 13: 9783319652283
Language: English
Kartoniert / Broschiert. Condition: New.
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Ontology-Based Data Access Leveraging Subjective Reports
Published by Springer, Berlin, Springer International Publishing, Springer, 2017
ISBN 10: 3319652281 ISBN 13: 9783319652283
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 bederived, 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. Since this SpringerBrief contains a gentle introduction to the main building blocks (OBDA, Datalog+/-, and reasoning with preferences), it should be of value to students, researchers, and practitioners who are interested in the general problem of incorporating user preferences into related formalisms and tools. Practitioners also interested in using Ontology-based Data Access to leverage information contained in reviews of products and services for a better customer experience will be interested in this brief and researchers working in the areas of Ontological Languages, Semantic Web, Data Provenance, and Reasoning with Preferences.
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Taschenbuch. Condition: Neu. Ontology-Based Data Access Leveraging Subjective Reports | Gerardo I. Simari (u. a.) | Taschenbuch | viii | Englisch | 2017 | Springer | EAN 9783319652283 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Ontology-Based Data Access Leveraging Subjective Reports
Published by Berlin Springer International Publishing Springer Okt 2017, 2017
ISBN 10: 3319652281 ISBN 13: 9783319652283
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 be derived, 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. Since this SpringerBrief contains a gentle introduction to the main building blocks (OBDA, Datalog+/-, and reasoning with preferences), it should be of value to students, researchers, and practitioners who are interested in the general problem of incorporating user preferences into related formalisms and tools. Practitioners also interested in using Ontology-based Data Access to leverage information contained in reviews of products and services for a better customer experience will be interested in this brief and researchers working in the areas of Ontological Languages, Semantic Web, Data Provenance, and Reasoning with Preferences. 77 pp. Englisch.
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Condition: New. Print on Demand pp. 85.
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Condition: New. PRINT ON DEMAND pp. 85.
