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Scalable Uncertainty Management : 7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013, Proceedings / edited by Weiru Liu, V S Subrahmanian, Jef Wijsen.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 8078
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 8078
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Application software.
- Information storage and retrieval systems.
- Computer networks.
- Database management.
- Data mining.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Information Storage and Retrieval.
- Computer Communication Networks.
- Database Management.
- Data Mining and Knowledge Discovery.
- Local Subjects:
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Information Storage and Retrieval.
- Computer Communication Networks.
- Database Management.
- Data Mining and Knowledge Discovery.
- Physical Description:
- 1 online resource (XIV, 387 pages) : 43 illustrations
- Edition:
- 1st ed. 2013.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 7th International Conference on Scalable Uncertainty Management, SUM 2013, held in Washington, DC, USA, in September 2013. The 26 revised full papers and 3 revised short papers were carefully reviewed and selected from 57 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.
- Contents:
- Argumentation
- Analysis of dialogical argumentation via finite state machines
- What Can Argumentation Do for Inconsistent Ontology Query Answering?
- Enforcement in Argumentation is a kind of Update
- A Conditional Logic-Based Argumentation Framework
- Modelling Uncertainty in Persuasion
- On the implementation of a multiple output algorithm for defeasible argumentation
- A formal characterization of the outcomes of rule-based argumentation systems
- Bimodal Graphs for Meta-Argumentation with Argument Schemes
- Efficiently Estimating the Probability of Extensions in Abstract Argumentation
- AFs with Necessities : Further Semantics and Labelling Characterization
- Ranking-based semantics for argumentation frameworks
- A Logical Theory about Dynamics in Abstract Argumentation
- Belief Functions, Possibility Theory and their Applications
- Sound Source Localization from Uncertain Information using the Evidential EM Algorithm
- An Improvement of Subject Reacquisition by Reasoning and Revision
- Belief Functions: a Revision of Plausibility Conflict and Pignistic Conflict
- Bipolar possibility theory as a basis for a logic of desires and beliefs
- Databases
- A New Class of Lineage Expressions over Probabilistic Databases computable in P-time
- The Semantics of Aggregate Queries in Data Exchange Revisited
- PossDB: An Uncertainty Database Management System
- Aggregate Count Queries in Probabilistic Spatio-Temporal Databases
- Intelligent Data Analytics
- Approximate Reasoning about Generalized Conditional Independence with Complete Random Variables
- Combinatorial Prediction Markets: An Experimental Study
- A scalable learning algorithm for kernel probabilistic classifier
- Logics, Description Logic, and Semantic Web
- Privacy-Preserving Social Network Publication Based on Positional Indiscernibility
- On the implementation of a fuzzy DL solver over infinite-valued product logic with SMT solvers
- On the Merit of Selecting Different Belief Merging Operators
- Possibilistic DL-Lite
- Group Preferences for Query Answering in Datalog+/- Ontologies
- Reasoning with Semantic-Enabled Qualitative Preferences.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-40381-1
- 9783642403811
- Access Restriction:
- Restricted for use by site license.
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