Book Chapter10.1016/B978-012443875-0/50012-4
Treating Uncertain Knowledge-Based Databases
Jae Dong Yang,H. Lee-Kwang +1 more
- 01 Jan 2000
- pp 327-351
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TL;DR: This chapter introduces a uniform framework for seamlessly supporting unknown values, which encompass incompleteness, indefiniteness, vagueness, and combinations of them in knowledge-based databases (KDB) areas.
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Abstract: Publisher Summary In knowledge-based systems, the interpretations may be classified into two categories: vagueness and ambiguity. Vagueness is associated with difficulty making sharp or precise distinctions in the world—that is, a domain of interest is vague if it cannot be delimited by sharp boundaries. Ambiguity is related to one-to-many relationships—that is, situations in which the choice between two or more alternatives is left unspecified. This chapter introduces a uniform framework for seamlessly supporting unknown values, which encompass incompleteness, indefiniteness, vagueness, and combinations of them in knowledge-based databases (KDB) areas. The chapter distinguishes knowledge from data or information. Knowledge includes abstractions and generalizations of data or information, and hence refers to entity types rather than to entity instances. Data, on the other hand, are the reflection of the states of the world at the level of instances.
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Citations
Knowledge versus Data.
Gio Wiederhold
- 01 Jan 1985
TL;DR: In this article, the authors define the terms knowledge and data as complements of each other and define a distinction between general concepts and specific instances, which is visible in most systems where general concepts are used to control or abstract object instances.
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Impact of relationship strength and integration capability on the efficiency of knowledge transfer among technology alliances in China
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TL;DR: In this paper, a study framework of network embeddedness and social capital perspective was adopted to explore the relationship among relationship strength, knowledge integration capability and the efficiency of knowledge transfer among technology alliance.
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Recommendation Based on Personal Preference
Pei Wang
- 01 Jan 2003
TL;DR: This chapter first defines a recommendation process, which helps the user to select products from a large number of candidates according to personal preference, and introduces a new approach, which is easy to design and maintain, and provides well justified results.
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References
•Book
Fuzzy Sets, Uncertainty and Information
George J. Klir,Tina A. Folger +1 more
- 01 Jan 1988
TL;DR: The fuzzy sets uncertainty and information is one book that the authors really recommend you to read, to get more solutions in solving this problem.
3.5K
•Book
Symbolic Logic and Mechanical Theorem Proving
Chin-Liang Chang,Richard C. T. Lee +1 more
- 11 Jun 1973
TL;DR: This book contains an introduction to symbolic logic and a thorough discussion of mechanical theorem proving its applications and how it can be applied to various areas such as question answering, problem solving, program analysis, and program synthesis.
1.7K
Incomplete Information in Relational Databases
Tomasz Imielinski,Witold Lipski +1 more
TL;DR: There are precise conditions that should be satisfied in a semantically meaningful extension of the usual relational operators, such as projection, selection, union, and join, from operators on relations to operators on tables with “null values” of various kinds allowed.
On Indefinite Databases and the Closed World Assumption
Jack Minker
- 01 Oct 1987
TL;DR: Indefinite databases arise where, in general, the data consists of non-Horn clauses as discussed by the authors, i.e., a disjunction of literals in which more than one literal in the clause is positive.
560
Current approaches to handling imperfect information in data and knowledge bases
TL;DR: A survey of methods for representing and reasoning with imperfect information can be found in this paper, where a classification of different types of imperfections and sources of such imperfections are discussed.
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