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Reasoning by analogy in description logics through instance-based learning

by Claudia d'Amato, Nicola Fanizzi, Floriana Esposito - PROCEEDINGS OF SEMANTIC WEB APPLICATIONS AND PERSPECTIVES, 3RD ITALIAN SEMANTIC WEB WORKSHOP, SWAP2006, VOLUME 201 OF CEUR WORKSHOP PROCEEDINGS , 2006
"... Abstract — This work presents a method founded in instancebased learning for inductive (memory-based) reasoning on ABoxes. The method, which exploits a semantic dissimilarity measure between concepts and instances, can be employed both to answer class membership queries and to predict new assertions ..."
Abstract - Cited by 19 (18 self) - Add to MetaCart
Abstract — This work presents a method founded in instancebased learning for inductive (memory-based) reasoning on ABoxes. The method, which exploits a semantic dissimilarity measure between concepts and instances, can be employed both to answer class membership queries and to predict new

Case-based reasoning; Foundational issues, methodological variations, and system approaches

by Agnar Aamodt, Enric Plaza - AI COMMUNICATIONS , 1994
"... Case-based reasoning is a recent approach to problem solving and learning that has got a lot of attention over the last few years. Originating in the US, the basic idea and underlying theories have spread to other continents, and we are now within a period of highly active research in case-based rea ..."
Abstract - Cited by 855 (25 self) - Add to MetaCart
reasoning in Europe, as well. This paper gives an overview of the foundational issues related to case- based reasoning, describes some of the leading methodo- logical approaches within the field, and exemplifies the current state through pointers to some systems. Initially, a general framework is defined

ABSTRACT Instance-based Retrieval by Analogy

by Nicola Fanizzi
"... This work presents a method for retrieval in knowledge bases expressed in Description Logics, founded in the instancebased learning. The procedure implements the disjunctive version space approach exploiting a notion of semantic difference. The method can be employed both to answer to class-membersh ..."
Abstract - Cited by 2 (2 self) - Add to MetaCart
This work presents a method for retrieval in knowledge bases expressed in Description Logics, founded in the instancebased learning. The procedure implements the disjunctive version space approach exploiting a notion of semantic difference. The method can be employed both to answer to class

Analogical Reasoning in Description Logics

by Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
"... This work presents a framework, founded on multi-relational instancebased learning, for inductive (memory-based) reasoning on knowledge bases expressed in Description Logics. The procedure, which exploits a relational dissimilarity measure based on the notion of Information Content, can be employed ..."
Abstract - Cited by 4 (2 self) - Add to MetaCart
This work presents a framework, founded on multi-relational instancebased learning, for inductive (memory-based) reasoning on knowledge bases expressed in Description Logics. The procedure, which exploits a relational dissimilarity measure based on the notion of Information Content, can be employed

Instance-based Query Answering with Semantic Knowledge Bases

by Nicola Fanizzi, Floriana Esposito
"... Abstract. A procedure founded in instance-based learning is presented, for performing a form of analogical reasoning on knowledge bases expressed in a wide range of ontology languages. The procedure exploits a novel semi-distance measure for individuals, that is based on their semantics w.r.t. a num ..."
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Abstract. A procedure founded in instance-based learning is presented, for performing a form of analogical reasoning on knowledge bases expressed in a wide range of ontology languages. The procedure exploits a novel semi-distance measure for individuals, that is based on their semantics w.r.t. a

Instance Based Function Learning

by Jan Ramon, Luc De Raedt - In Proceedings of the Ninth International Workshop on Inductive Logic Programming, Lecture Notes in Arti Intelligence , 1999
"... . The principles of instance based function learning are presented. In IBFL one is given a set of positive examples of a functional predicate. These examples are true ground facts that illustrate the input output behaviour of the predicate. The purpose is then to predict the output of the predic ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
and analogical or case based reasoning. We also argue that IBFL is especially useful when there is a need for handling complex and deeply nested terms. Though we present the technique in isolation, it might be more useful as a component of a larger system to deal e.g. with the logic, language and learning

Description Logics Reasoning with Syntactic Updates

by Christian Halashek-wiener, Bijan Parsia, Evren Sirin - In Proc. of the 5th Int. Conf. on Ontologies, Databases, and Applications of Semantics (ODBASE 2006 , 2006
"... Abstract. Various data sources on the Web tend to be highly dynamic; this is evident in prominent Web services frameworks in which devices register or deregister their descriptions quite rapidly and in Semantic Web portals which allow content authors to modify or extend the ontologies and submit con ..."
Abstract - Cited by 6 (0 self) - Add to MetaCart
content. However, current Description Logic (DL) reasoners have only been considered for relatively static knowledge bases. This work aims to provide more efficient DL reasoning techniques for frequently changing instance bases (ABoxes). More specifically, we investigate the process of incrementally

Behavioral theories and the neurophysiology of reward,

by Wolfram Schultz - Annu. Rev. Psychol. , 2006
"... ■ Abstract The functions of rewards are based primarily on their effects on behavior and are less directly governed by the physics and chemistry of input events as in sensory systems. Therefore, the investigation of neural mechanisms underlying reward functions requires behavioral theories that can ..."
Abstract - Cited by 187 (0 self) - Add to MetaCart
through mechanical, gustatory, visual, and auditory receptors of the sensory systems. The functions of rewards cannot be derived entirely from the physics and chemistry of input events but are based primarily on behavioral effects, and the investigation of reward functions requires behavioral theories

North-Holland Analogical reasoning and case-based learning in model management systems *

by Ting-peng Liang
"... Developing computer-based model management systems has been a focus of recent research in decision support. In this paper, we explore the use of analogical reasoning and case-based learning in model management. Analogical reason-ing and case-based learning are techniques found useful in human proble ..."
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problem solving. They can help model builders apply their modeling experience to construct new models and im-prove their modeling knowledge through learning. This paper presents a feasible approach to incorporate case-based ana-logical reasoning in model management systems. First, the role of analogical

Description Logic Inference Technology: Lessions Learned In the Trenches

by Volker Haarslev, Ralf Möller, Michael Wessel - PROC. INTERNATIONAL WORKSHOP ON DESCRIPTION LOGICS , 2005
"... Optimized description logic systems are now available for quite a long time. Whereas initially, to a large extent only T-box reasoning was used in applications, now more and more applications also rely on A-box reasoning. In this article we summarize our experiences with the description logic reason ..."
Abstract - Cited by 12 (1 self) - Add to MetaCart
reasoner Racer and perform an evaluation of the system with respect to instance retrieval benchmarks. In addition, we report on our experiences with two years of user support for OWL knowledge base development and usage. The article provides an overview over the state of the art in description logic
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