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A Method of Similarity-Driven Knowledge Revision for Type Specializations [chapter]

Nobuhiro Morita, Makoto Haraguchi, Yoshiaki Okubo
1999 Lecture Notes in Computer Science  
This paper proposes a new framework of knowledge revision, called Similarity-Driven Knowledge Revision.  ...  Particularly, we are concerned with a revision strategy according to which an inadequate variable typing in describing an object-oriented knowledge base is revised by specializing the typing to more specic  ...  Our revision process is invoked when the detected similarity does not t our intuition. 4 Similarity-Driven Knowledge Revision for Type Specialization In this section, we propose a novel method of knowledge  ... 
doi:10.1007/3-540-46769-6_16 fatcat:z4tqul2fszhapam25khl264hqa

Learning causal patterns: Making a transition from data-driven to theory-driven learning

Michael Pazzani
1993 Machine Learning  
Theory-driven learning exploits knowledge of regularities among rules to constrain learning.  ...  We describe an incremental learning algorithm, called theory-driven learning, that creates rules to predict the effect of actions.  ...  Acknowledgements This research is supported by a National Science Foundation Grant IRI-8908260 and by the University of California, Irvine through an allocation of computer time.  ... 
doi:10.1007/bf00993076 fatcat:lasocrbtafcc3p7g57pa2xwlom

Learning Causal Patterns: Making a Transition from Data-Driven to Theory-Driven Learning [chapter]

Michael Pazzani
1993 Multistrategy Learning  
Theory-driven learning exploits knowledge of regularities among rules to constrain learning.  ...  We describe an incremental learning algorithm, called theory-driven learning, that creates rules to predict the effect of actions.  ...  Acknowledgements This research is supported by a National Science Foundation Grant IRI-8908260 and by the University of California, Irvine through an allocation of computer time.  ... 
doi:10.1007/978-1-4615-3202-6_4 fatcat:qk7zetsokjcbtlysjx6lf2crhu

Guest Editorial: "Advances in intelligent data analysis"

Michael R. Berthold, Elizabeth Bradley, Rudolf Kruse
2004 Intelligent Data Analysis  
Acknowledgements We would like to thank all of the authors for working with us on a rather tight schedule. Thanks also to Fazel Famili who once again, made room for this special issue in his journal.  ...  Part two of this special issue presents two application driven methods, one coming from the text processing area and the other from biochemistry.  ...  Scheffer presents a method that allows to automatically answer a majority of emails for frequently asked questions.  ... 
doi:10.3233/ida-2004-8501 fatcat:b3mlejemdvcy3bk6realm6s2qu

State of the art and open challenges in community-driven knowledge curation

Tudor Groza, Tania Tudorache, Michel Dumontier
2013 Journal of Biomedical Informatics  
in this special journal section contribute to the advancement of the state of the art; and finally we discuss the open issues and challenges in the community-driven curation of biomedical knowledge.  ...  Based on the immediate goal, there are, in principle, two major types of systems: (i) knowledge curation platforms that focus on externalising knowledge for human consumption and where ontologies are either  ... 
doi:10.1016/j.jbi.2012.11.007 pmid:23219718 fatcat:odppdhmlkrgqfk67zhphysoa5m

Applying of an Ontology-driven Case-based Reasoning System in Logistics

Martin Kowalski, Stephan Zelewski, Daniel Bergenrodt
2004 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY  
The management of logistics projects is a well known part of management science.  ...  In this paper we present an ontology-driven case-based reasoning system (SCM Project Recommender), that can measure similarity between knowledge collections, which are written in natural language.  ...  Project management can be regarded as a special form of knowledge management.  ... 
doi:10.24297/ijct.v3i2c.2898 fatcat:47oagwwzfbf4lmx6ysglv6j76a

Using ontologies for defining tasks, problem-solving methods and their mappings [chapter]

D. Fensel, E. Motta, S. Decker, Z. Zdrahal
1997 Lecture Notes in Computer Science  
The PSM ontology of propose & revise for parametric design.  ...  Def 6.1 State P&R : Design model PD Def 6.2 Complete P&R : Complete design model PD Def 6.3 Set with a total order and equality P&R : SET OF parameter PD Def 6.4 < P&R : ⊂ PD , = P&R : = PD Def 6.5 Correct  ...  We thank Annette ten Teije, Frank van Harmelen, Mark Willems, and two anonymous reviewers for helpful comments on drafts of the paper.  ... 
doi:10.1007/bfb0026781 fatcat:phdhvcdvarfzlmvb6muvv3jlze

Acquaintance Model in Re-Planning and Re-Configuration [chapter]

Vladimír Mařík, Michal Pěchouček, Olga Štěpánková
2000 Advances in Networked Enterprises  
A requirement for re-planning may be triggered by different types of causes. In principle we distinguish between:  ...  Both the autonomous and supervised methods of replanning are distinguished.  ...  A number of revision types are considered in [Stepankova 96]. Who identifies these changes and how they influence knowledge bases of the remaining agents?  ... 
doi:10.1007/978-0-387-35529-0_17 fatcat:6pof3tp4pnbvtnif3yymyxt6qm

A new approach to applicable memory-based reasoning

Ketil Bo, Agnar Aamodt
1999 Journal of experimental and theoretical artificial intelligence (Print)  
General domain knowledge can be a multi-relational semantic network, a set of term dependencies and relevances, or compiled into a global similarity metric.  ...  Within this framework different memory-based methods are studied, differing in the type and representation of cases, and in the way that the retrieval methods are supported by explicit general domain knowledge  ...  The knowledge-driven similarity assessment method is a way to utilize -to some extent -a body of general domain knowledge as support for case-based retrieval.  ... 
doi:10.1080/095281399146364 fatcat:a26ijv4ltzfhvihnfcw7rfmapq

Improving our practice as mathematics teacher educators through teaching research

Su Liang, Priya Prasad, Cody Patterson, Raquel Mira
2019 International Journal for the Scholarship of Teaching and Learning  
They were not able to justify their answers with clear and appropriate reasoning because of a lack of knowledge of the special terms for similarity.  ...  The collaborative revision process reinforces our own Knowledge of Content for PSTs and Specialized Content Knowledge (Ball, Thames, & Phelps, 2008) , which leads to better class activities and tasks.  ... 
doi:10.20429/ijsotl.2019.130212 fatcat:naoxeqfcwrb3vnim3s27f2gcsu

Clinical Decision Support Systems for Child Neuropsychiatric Disorders: The Time has Come?

Koposov Roman, Frodl Thomas, Nytrø Øystein, Leventhal Bennett, Sourander Andre, Quaglini Silvana, Molteni Massimo, Vayá María de la Iglesia, Prokosch Hans Ulrich, Barbarini Nicola, Milham Michael Peter, Castellanos Francisco Xavier (+1 others)
2017 Annals of Cognitive Science  
in primary care and specialist settings in the present while creating a mechanism for adding biomarker and other data as it emerges.  ...  data in order to generate new information and models for clinic decision support at the level of the individual patient, using the already available informatics frameworks.  ...  Creation of a federated database of clinical cases The new CDSS should create a federated database with anonymized data from different types of child psychiatry clinical care and research databases.  ... 
doi:10.36959/447/335 fatcat:msi63wojabf77myppw6rj7sct4

Big Data and Intelligent Decisions: Introduction to the Special Issue

Deng-Feng Li, Peide Liu, Kevin W. Li
2021 Group Decision and Negotiation  
Kersten, for their great support and guidance throughout the process of organizing this special issue.  ...  Acknowledgements We sincerely thank all authors for their contributions to this special issue and the reviewers for volunteering their time and expertise to review the submissions.  ...  This new ordinal characterization differs from the two existing types and can be regarded as a special case of belief distributions in evidential reasoning for ranking alternatives.  ... 
doi:10.1007/s10726-021-09764-9 fatcat:vura2cu7yzhxzj545ruoep54ce

Case-Based Recommender Systems: A Unifying View [chapter]

Fabiana Lorenzi, Francesco Ricci
2005 Lecture Notes in Computer Science  
CBR-RSs have complex architectures and specialize the CBR problem solving methodology in a number of ways.  ...  The ultimate goal of the this framework is to ease the evaluation and the comparison of case-based reasoning recommender systems and to provide a tool to identify open areas for further research.  ...  For example, in Order-Based Retrieval [4] the system uses special operators to retrieve a lattice of cases, or in the Compromise-Driven Retrieval [18] the system retrieves similar cases from the case  ... 
doi:10.1007/11577935_5 fatcat:5iu5bhbc75eovetnaq6fdodwni

Structured development of problem solving methods

D. Fensel, E. Motta
2001 IEEE Transactions on Knowledge and Data Engineering  
In this paper, we address these ªfundamentalº issues and present a comprehensive and detailed framework for characterizing problem solving methods and their development process.  ...  AbstractÐProblem solving methods (PSMs) describe the reasoning components of knowledge-based systems as patterns of behavior that can be reused across applications.  ...  ACKNOWLEDGMENTS The authors would like to thank Richard Benjamins, Enric Plaza, Rudi Studer, Bob Wielinga, and the anonymous reviewers for helpful discussions and comments.  ... 
doi:10.1109/69.971187 fatcat:2x52dsokwzcfnkuutnsskctlvq

Designing Intelligent Tutoring Systems: A Personalization Strategy using Case-Based Reasoning and Multi-Agent Systems

Rosalía LAZA, Martín LLAMAS, Juan Carlos BURGUILLO, Carolina GONZÁLEZ
2013 Advances in Distributed Computing and Artificial Intelligence Journal  
ITSs design is often criticized for being a complex and challenging process. In this article, we propose a framework for the ITSs design using Case Based Reasoning (CBR) and Multiagent systems (MAS).  ...  Intelligent Tutoring Systems (ITSs) are educational systems that use artificial intelligence techniques for representing the knowledge.  ...  Traditionally, there were several types of methods for representing cases: (a) textual approach, (b) attribute-value and, (c) structured representation.  ... 
doaj:cf22a4feb62a4e2d9470d776c333f112 fatcat:u3dwd57myzenholtfeqt3u4lgq
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