Ebook: Flexible Approaches in Data, Information and Knowledge Management

This volume showcases contributions from internationally-known researchers in the field of information management. Most of the approaches presented here make use of fuzzy logic, introduced by L.A. Zadeh almost 50 years ago, which constitute a powerful tool to model and handle gradual concepts. What all of these contributions have in common is placing the user at the center of the information system, be it for helping him/her to query a data set, to handle imperfect information, or to discover useful knowledge from a massive collection of data.

Researchers working in data and knowledge management will greatly benefit from this collection of up-to-date studies. This may be also an invaluable source of information for postgraduate students interested in advanced information management techniques.

This volume showcases contributions from internationally-known researchers in the field of information management. Most of the approaches presented here make use of fuzzy logic, introduced by L.A. Zadeh almost 50 years ago, which constitute a powerful tool to model and handle gradual concepts. What all of these contributions have in common is placing the user at the center of the information system, be it for helping him/her to query a data set, to handle imperfect information, or to discover useful knowledge from a massive collection of data.

Researchers working in data and knowledge management will greatly benefit from this collection of up-to-date studies. This may be also an invaluable source of information for postgraduate students interested in advanced information management techniques.

This volume showcases contributions from internationally-known researchers in the field of information management. Most of the approaches presented here make use of fuzzy logic, introduced by L.A. Zadeh almost 50 years ago, which constitute a powerful tool to model and handle gradual concepts. What all of these contributions have in common is placing the user at the center of the information system, be it for helping him/her to query a data set, to handle imperfect information, or to discover useful knowledge from a massive collection of data.

Researchers working in data and knowledge management will greatly benefit from this collection of up-to-date studies. This may be also an invaluable source of information for postgraduate students interested in advanced information management techniques.

Content:
Front Matter....Pages i-xii
Front Matter....Pages 1-1
Modeling “and if possible” and “or at least”: Different Forms of Bipolarity in Flexible Querying....Pages 3-19
Constraint-Wish and Satisfied-Dissatisfied: An Overview of Two Approaches for Dealing with Bipolar Querying....Pages 21-44
A Relational Algebra for Generalized Fuzzy Bipolar Conditions....Pages 45-69
Bipolarity in Database Querying: Various Aspects and Interpretations....Pages 71-91
Front Matter....Pages 93-93
On the Top-k Retrieval Problem for Ontology-Based Access to Databases....Pages 95-114
Semantic Data Management Using Fuzzy Relational Databases....Pages 115-140
Front Matter....Pages 141-141
Information Systems Uncertainty Design and Implementation Combining: Rough, Fuzzy, and Intuitionistic Approaches....Pages 143-164
Flexible Bipolar Querying of Uncertain Data Using an Ontology....Pages 165-188
Aspects of Dealing with Imperfect Data in Temporal Databases....Pages 189-220
Front Matter....Pages 221-221
A Unifying Model of Flexible Queries with Distinct Semantics of Search Term Weights....Pages 223-239
Social Network Database Querying Based on Computing with Words....Pages 241-257
Front Matter....Pages 259-259
Fuzzy Cardinalities as a Basis to Cooperative Answering....Pages 261-289
Scalability and Fuzzy Systems: What Parallelization Can Do....Pages 291-320