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EL Description Logic Modeling Querying Web and Learning Imperfect User Preferences

Peter Vojtás
2006 International Semantic Web Conference  
We offer a model based on connection between three EL-description logic systems: classical, annotated(fuzzy) and a new variant of Bayesian description logic.  ...  In this position paper we share ideas on modeling querying web resources by (imperfect) combination of particular user preferences based on description logic.  ...  For this, we can transform our previous work on imperfection in logic programming [8] to description logic framework . In [8] we have shown that generalized annotated programs (GAP) of M.  ... 
dblp:conf/semweb/Vojtas06 fatcat:xrkrimhcjzbgphwcaufvzz6c3m

Fuzzy classifier induction with GA-P algorithms

Luciano Sánchez Ramos, Santiago García Carbajal
1999 European Society for Fuzzy Logic and Technology  
In this work we will use GA-P algorithms, a h ybrid method between genetic algorithms and genetic programming, to induce fuzzy rule based classi ers with a more general structure than the attainable when  ...  Fuzzy rule based classi ers induction A fuzzy rule based classi er can always be written as a chain in certain context-free language, so applying genetic programming to perform classi er induction is straightforward  ...  when inducting fuzzy classiers.  ... 
dblp:conf/eusflat/RamosC99 fatcat:ajio322avbaa7i4yigmkek5qbq

Logical Fuzzy Optimization [article]

Emad Saad
2013 arXiv   pre-print
We present a logical framework to represent and reason about fuzzy optimization problems based on fuzzy answer set optimization programming.  ...  This is accomplished by allowing fuzzy optimization aggregates, e.g., minimum and maximum in the language of fuzzy answer set optimization programming to allow minimization or maximization of some desired  ...  A fuzzy aggregates fuzzy answer set optimization program is a union of two sets of fuzzy logic rules, Π = R gen ∪ R pref .  ... 
arXiv:1304.2384v1 fatcat:36wwu35dvjenznjke3wm6zyxeu

Towards integrating fuzzy logic capabilities into an ontology-based Inductive Logic Programming framework

Josue Iglesias, Jens Lehmann
2011 2011 11th International Conference on Intelligent Systems Design and Applications  
Inductive Logic Programming (ILP) system with fuzzy logic capabilities.  ...  This paper first analyses the state of the art in tools for fuzzy ontologies management and then describes how some of the most significant ones have been integrated in order to extend an ontologybased  ...  Josué Iglesias also acknowledges this Ministry for his grant and the support received by every member of AKSW group.  ... 
doi:10.1109/isda.2011.6121843 dblp:conf/isda/IglesiasL11 fatcat:hd3np35qdbhwjlts5x67rhv5oq

Inductive Models of User Preferences for Semantic Web

Alan Eckhardt
2007 Databases, Texts, Specifications, Objects  
In this paper, we will overview the current state-of-the-art in the area of acquisition of user preferences and their induction.  ...  Main focus will be on the models of user preferences and on the induction of these models, but also the process of extracting preferences from the user behaviour will be studied.  ...  Acknowledgment Supported by Czech projects MSM 0021620838, 1ET 100300517 and 1ET 100300419.  ... 
dblp:conf/dateso/Eckhardt07 fatcat:lebu6izn7bfffewq7vgffvgrve

Page 576 of Mathematical Reviews Vol. , Issue 97A [page]

1997 Mathematical Reviews  
Summary: “Rippling is a type of rewriting developed for inductive theorem proving that uses annotations to direct search.  ...  Next we develop criteria for prov- ing the termination of such annotated rewriting, and introduce orders on annotated terms that lead to termination.  ... 

Hybrid Probabilistic Logic Programs as Residuated Logic Programs [chapter]

Carlos Viegas Damásio, Luís Moniz Pereira
2000 Lecture Notes in Computer Science  
The importance of this result is that for the rst time a framework encompassing several quite distinct logic programming semantics is described, namely Generalized Annotated Logic Programs, Fuzzy Logic  ...  Programming, Hybrid Probabilistic Logic Programs, and Possibilistic Logic Programming.  ...  Alferes and L. Caires for helpful discussions. We also thank the anonoymous referees for their valuable comments.  ... 
doi:10.1007/3-540-40006-0_5 fatcat:ypzpla3kjrg2dmrjjnxrea7ole

On the incorporation of interval-valued fuzzy sets into the Bousi-Prolog system: declarative semantics, implementation and applications [article]

Clemente Rubio-Manzano, Martin Pereira-Fariña
2017 arXiv   pre-print
We show, by using potential applications, that fuzzy logic programming frameworks enhanced with them can correctly work together with lexical resources and ontologies in order to improve their capabilities  ...  In this paper we analyse the benefits of incorporating interval-valued fuzzy sets into the Bousi-Prolog system.  ...  We assume familiarity with the theory and practice of logic programming.  ... 
arXiv:1711.03147v1 fatcat:snbztbrcg5bgxmou77hppzwyqa

Page 1204 of Mathematical Reviews Vol. , Issue 93c [page]

1993 Mathematical Reviews  
A paraconsistent logic called an annotated logic, introduced by Subrahmanian in 1987, has been used since then as the basis for logic programming, for reasoning about databases and knowledge bases containing  ...  The theory of induction consists of a precise version of Nicod’s principle and its statistical analogues. Philip L.  ... 

Fuzzy Logic, Annotation Domains and Semantic Web Languages [chapter]

Umberto Straccia
2011 Lecture Notes in Computer Science  
This talk presents a detailed, self-contained and comprehensive account of the state of the art in representing and reasoning with fuzzy knowledge in Semantic Web Languages such a RDF/RDFS, OWL 2 and RIF  ...  We further show to which extend we may generalise them to so-called annotation domains, that cover also e.g. temporal, provenance and trust extensions.  ...  The readers familiar with the annotated logic programming framework [39] , will notice the similarity of the approaches. As we will see, ⊕ and ⊗ may be more involved.  ... 
doi:10.1007/978-3-642-23963-2_2 fatcat:vwgiptrpena7dkckythul4tke4

Page 4732 of Mathematical Reviews Vol. , Issue 92i [page]

1992 Mathematical Reviews  
In particular, a model of statistical induction based on rough sets is described; the soundness theorem for the proposed statistical induction model and some results concerning the speed of convergence  ...  Fuzzy Sets and Systems 45 (1992), no. 1, 45-58. Summary: “In the theory of fuzzy sets, it is usual to represent the “degree of belongingness’ by a number lying between 0 and 1.  ... 

From Fuzzy to Annotated Semantic Web Languages [chapter]

Umberto Straccia, Fernando Bobillo
2017 Lecture Notes in Computer Science  
We present the state of the art in representing and reasoning with fuzzy knowledge in Semantic Web Languages such as triple languages RDF/RDFS, conceptual languages of the OWL 2 family and rule languages  ...  We further show how one may generalise them to so-called annotation domains, that cover also e.g. temporal and provenance extensions.  ...  The readers familiar with the annotated logic programming framework [35] , will notice the similarity of the approaches.  ... 
doi:10.1007/978-3-319-49493-7_6 fatcat:u4kbfmvkmbhiberrhh4bocml6u

Unfolding-based Improvements on Fuzzy Logic Programs

Pascual Julián, Ginés Moreno, Jaime Penabad
2005 Electronical Notes in Theoretical Computer Science  
We use a fuzzy variant of Prolog where each program clause can be interpreted under a different (fuzzy) logic.  ...  In this paper we define two unfolding-based transformation rules that extend the classical definition of the unfolding rule (for pure logic programs) to a fuzzy logic setting.  ...  Fuzzy Logic Programming is an interesting and still growing research area that agglutinates the efforts to introduce Fuzzy Logic into Logic Programming.  ... 
doi:10.1016/j.entcs.2005.01.040 fatcat:e2yebsdmgjfw5ox2izjqu6amum

Page 1090 of Mathematical Reviews Vol. , Issue 96b [page]

1996 Mathematical Reviews  
); Shinji Kono, A combination of clausal and nonclausal temporal logic programs (40-57); Thom Friihwirth, Temporal logic and annotated constraint logic programming (58- 68); Stephan Merz, Efficiently executable  ...  Valverde, Fuzzy logic, inductive and analogical reasoning (38-50); Didier Dubois and Henri Prade, Possibility theory, belief revision and nonmonotonic logic (51-61); Sew Bun Foong and Pei Zhuang Wang,  ... 

A Tabulation Proof Procedure for First-order Residuated Logic Programs: Soundness, Completeness and Optimizations

C.V. Damasio, J. Medina, M. Ojeda-Aciego
2006 2006 IEEE International Conference on Fuzzy Systems  
Residuated logic programs have shown to be a generalisation of a number of approaches to logic programming under uncertain or vague information, including fuzzy or annotated or probabilistic or similarity-based  ...  In this paper, we introduce a sound and complete tabulation-based proof procedure for the firstorder extension of residuated logic programs.  ...  In the specific topic of logic programming under uncertainty, we can find approaches involving either fuzzy or annotated or probabilistic or similarity-based logic programming [1] , [2] , [9] - [11  ... 
doi:10.1109/fuzzy.2006.1681978 dblp:conf/fuzzIEEE/DamasioMO06 fatcat:7ufd6tdtgzgo3ej4quximvix6m
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