Description: Ontology-Based Data Access Leveraging Subjective Reports by Gerardo I. Simari, Cristian Molinaro, Maria Vanina Martinez, Thomas Lukasiewicz, Livia Predoiu Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This SpringerBrief reviews the knowledge engineering problem of engineering objectivity in top-k query answering; essentially, answers must be computed taking into account the users 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 authors 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 users 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. Details ISBN 3319652281 ISBN-13 9783319652283 Title Ontology-Based Data Access Leveraging Subjective Reports Author Gerardo I. Simari, Cristian Molinaro, Maria Vanina Martinez, Thomas Lukasiewicz, Livia Predoiu Format Paperback Year 2017 Pages 77 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:137656505; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 68.69 USD
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End Time: 2024-11-29T03:46:28.000Z
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Restocking Fee: No
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ISBN-13: 9783319652283
Book Title: Ontology-Based Data Access Leveraging Subjective Reports
Number of Pages: VIII, 77 Pages
Publication Name: Ontology-Based Data Access Leveraging Subjective Reports
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2017
Subject: Networking / General, Metaphysics, Telecommunications, Databases / Data Mining
Item Weight: 52 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Philosophy, Computers, Technology & Engineering
Author: Livia Predoiu, Thomas Lukasiewicz, Gerardo I. Simari, Maria Vanina Martinez, Cristian Molinaro
Series: Springerbriefs in Computer Science Ser.
Item Width: 6.1 in
Format: Trade Paperback