Maria Vanina Martinez – författare
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6 produkter
6 produkter
Häftad, Engelska, 2013
446 kr
Skickas inom 10-15 vardagar
This SpringerBrief proposes a general framework for reasoning about inconsistency in a wide variety of logics, including inconsistency resolution methods that have not yet been studied. The proposed framework allows users to specify preferences on how to resolve inconsistency when there are multiple ways to do so. This empowers users to resolve inconsistency in data leveraging both their detailed knowledge of the data as well as their application needs. The brief shows that the framework is well-suited to handle inconsistency in several logics, and provides algorithms to compute preferred options. Finally, the brief shows that the framework not only captures several existing works, but also supports reasoning about inconsistency in several logics for which no such methods exist today.
Häftad, Engelska, 2018
255 kr
Skickas inom 5-8 vardagar
Del 14281 - Lecture Notes in Computer Science
Logics in Artificial Intelligence
18th European Conference, JELIA 2023, Dresden, Germany, September 20–22, 2023, Proceedings
Häftad, Engelska, 2023
1 105 kr
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This book constitutes proceedings of the 18th European Conference on Logics in Artificial Intelligence, JELIA 2023, held in Dresden, Germany, in September 2023. The 41 full papers and 11 short papers included in this volume were carefully reviewed and selected from 111 submissions.
Del 15245 - Lecture Notes in Computer Science
Logic Programming and Nonmonotonic Reasoning
17th International Conference, LPNMR 2024, Dallas, TX, USA, October 11–14, 2024, Proceedings
Häftad, Engelska, 2024
1 499 kr
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This book constitutes the refereed proceedings of the 17th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2024, held in Dallas, TX, USA, during October 11-14, 2024. The 27 full papers and 3 short papers included in this book were carefully reviewed and selected from 48 submissions.
Del 15350 - Lecture Notes in Computer Science
Scalable Uncertainty Management
16th International Conference, SUM 2024, Palermo, Italy, November 27–29, 2024, Proceedings
Häftad, Engelska, 2024
885 kr
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This book constitutes the refereed proceedings of the 16th International Conference on Scalable Uncertainty Management, SUM 2024, held in Palermo, Italy, during November 27–29, 2024. The 28 full and 7 short papers presented in this volume were carefully reviewed and selected from 43 submissions.
Häftad, Engelska, 2017
540 kr
Skickas inom 10-15 vardagar
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.