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Ontologies for Knowledge Graphs: Breaking the Rules [chapter]

Markus Krötzsch, Veronika Thost
2016 Lecture Notes in Computer Science  
Large-scale knowledge graphs (KGs) are widely used in industry and academia, and provide excellent use-cases for ontologies.  ...  We study this issue for several classes of existential rules and derive new syntactic criteria to recognise well-behaved rule-based ontologies over KGs.  ...  Acknowledgements This work is partly supported by the German Research Foundation (DFG) in CRC 912 (HAEC) and in Emmy Noether grant KR 4381/1-1.  ... 
doi:10.1007/978-3-319-46523-4_23 fatcat:i3jgivfb75hdbdohmocj34svfa

Ontology Knowledge Mining for Ontology Alignment

Rihab Idoudi, Karim Saheb Ettabaa, Basel Solaiman, Kamel Hamrouni
2016 International Journal of Computational Intelligence Systems  
ontology alignment based on the ontology knowledge mining.  ...  Actually, such method allows the knowledge granularity analyze between the ontologies and facilitates several ontology engineering techniques.  ...  It starts by transforming ontologies into graphs. Then, clustering algorithm is applied to partition the graphs into disjoint clusters.  ... 
doi:10.1080/18756891.2016.1237187 fatcat:3n7usmjidzdjzesxw6xx37cj34

A Graph Derivation Based Approach for Measuring and Comparing Structural Semantics of Ontologies

Yinglong Ma, Ling Liu, Ke Lu, Beihong Jin, Xiangjie Liu
2014 IEEE Transactions on Knowledge and Data Engineering  
However, the state of art approaches for measuring ontologies neglects the problems of both the polymorphism of ontology representation and the addition of implicit semantic knowledge.  ...  One way to tackle these problems is to devise mechanism for ontology measurement that is stable, the basic criteria for automatic measurement.  ...  ACKNOWLEDGEMENTS We are grateful to all the referees for their helpful comments. This work is partially supported by the National Natural Science Foundation of China (61001197)  ... 
doi:10.1109/tkde.2013.120 fatcat:a7jrboppwrgfvkni3ypnqediym

An Ontological Framework for Knowledge Management in Systems Engineering Processes [chapter]

Olfa Chourabi, Yann Pollet, Mohamed Ben
2010 Knowledge Management  
In the conceptual graph (CG) formalism, the ontological knowledge is encoded in a support. The factual knowledge is encoded in simple conceptual graphs.  ...  -Domain facet: The domain ontology defines the specific domain concepts, attributes, constraints, and rules.  ... 
doi:10.5772/9554 fatcat:wxxwtv3of5ebzdqdfqdjqa6yd4

Trust and hybrid reasoning for ontological knowledge bases

Hui Shi, Kurt Maly, Steven Zeil
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
We consider a semantic web subject to changes in the knowledge base, the underlying ontology or the rule set that governs the reasoning.  ...  However, they lack the support for a knowledge base that can evolve over time while responding to queries requiring reasoning.  ...  Unfortunately, this simple procedure breaks down in the face of "meta-rules" in the knowledge base, rules that permit reasoning about properties themselves.  ... 
doi:10.1145/2567948.2579033 dblp:conf/www/ShiMZ14 fatcat:ehmlxnmmybempdznl5biuqstmy

An ontology for Chinese government archives knowledge representation and reasoning

Zhiyu Wang, Zhiping Song, Guang Yu, Xiaoyu Wang
2021 IEEE Access  
The OWL ontology model implemented by the Proté gé tool can be saved by a computer as a set of knowledge-driven rules.  ...  For the purpose of classification and statistics of rules for drafting official documents in GAO, we define three rules and find the direction of each archive individual through the relationship between  ...  Author Name: Preparation of Papers for IEEE Access (February 2017)  ... 
doi:10.1109/access.2021.3112001 fatcat:6mvros4g3nbg3gpryuiljf6y4u

A framework for multidimensional design of data warehouses from ontologies

Oscar Romero, Alberto Abelló
2010 Data & Knowledge Engineering  
In this paper, we introduce our approach for automatically deriving the multidimensional schema from a domain ontology.  ...  This second goal is the main reason for choosing ontologies instead of other conceptual formalizations, as ontology languages provide reasoning services that will facilitate the automation of our task.  ...  At this point, we are able to compute its list of dimensional concepts breaking up the deadlock (i.e., do not apply the transitive rule over it) and notifying to the user that, in case s/he would be interested  ... 
doi:10.1016/j.datak.2010.07.007 fatcat:iv7z7xm3crculdhvnmkf5attru

Ontologies, Knowledge Representation, and Machine Learning for Translational Research: Recent Contributions

Peter N. Robinson, Melissa A. Haendel
2020 IMIA Yearbook of Medical Informatics  
Objectives: To select, present, and summarize the most relevant papers published in 2018 and 2019 in the field of Ontologies and Knowledge Representation, with a particular focus on the intersection between  ...  Methods: A comprehensive review of the medical informatics literature was performed to select the most interesting papers published in 2018 and 2019 and that document the utility of ontologies for computational  ...  Acknowledgements The authors were supported by a grant from the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR00230.  ... 
doi:10.1055/s-0040-1701991 pmid:32823310 fatcat:pbi3fv2cmzhcjjdmgxun6omyfu

Improving Comprehension: Intelligent Tutoring System Explaining the Domain Rules When Students Break Them

Oleg Sychev, Nikita Penskoy, Anton Anikin, Mikhail Denisov, Artem Prokudin
2021 Education Sciences  
The results in both subject domains show medium but statistically significant learning gains after using the system for a few days; students with worse previous knowledge gained more.  ...  It uses formal models and software reasoners to solve the problems and judge the answers, and generates explanatory feedback about the broken domain rules and follow-up questions to stimulate the students  ...  Acknowledgments: The authors thank the students and teachers of Volgograd State Technical University who participated in the evaluation of the developed system, especially Elena Berisheva for organizing  ... 
doi:10.3390/educsci11110719 fatcat:6emwxx55enbpfessiry6jk2tlq

A fuzzy ontology for semantic modelling and recognition of human behaviour

Natalia Díaz Rodríguez, Manuel P. Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores
2014 Knowledge-Based Systems  
We propose a fuzzy ontology for human activity representation, which allows us to model and reason about vague, incomplete, and uncertain knowledge.  ...  The resulting fuzzy OWL 2 ontology is able to model uncertain knowledge and represent temporal relationships between activities using an underlying fuzzy state machine representation.  ...  We also thank Fernando Bobillo and Robin Wikström for their advice with FuzzyOWL and fuzzyDL tools.  ... 
doi:10.1016/j.knosys.2014.04.016 fatcat:fjkpauxkqffp5hcm7nxji56shu

An Ontology-Based Framework for Modeling User Behavior—A Case Study in Knowledge Management

Liana Razmerita
2011 IEEE transactions on systems, man and cybernetics. Part A. Systems and humans  
The paper discusses some of the implications of ontology-based user modeling for semantic-enhanced Knowledge Management (KM), and in particular for personal KM.  ...  Concrete examples of how OntobUMf is used in the context of a Knowledge Management System (KMS) are provided.  ...  The concepts of the user ontology are bridged with the concepts of the domain ontology through properties. Figure 4 depicts a part of the user ontology in a graph-based representation.  ... 
doi:10.1109/tsmca.2011.2132712 fatcat:stzl62laozebpaqxzb7tdngfuu

An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval

Pablo Castells, Miriam Fernandez, David Vallet
2007 IEEE Transactions on Knowledge and Data Engineering  
We propose a model for the exploitation of ontology-based knowledge bases to improve search over large document repositories.  ...  For this purpose, our approach includes an ontology-based scheme for the semiautomatic annotation of documents, and a retrieval system.  ...  The replacement of a document by a bag of knowledge atoms inevitably implies a loss of information value, and although it may be useful to break documents down into smaller information units that can be  ... 
doi:10.1109/tkde.2007.22 fatcat:l2l6lvuol5dcfg2loitkznzz7y

Knowledge Graphs [article]

Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, José Emilio Labra Gayo, Sabrina Kirrane, Sebastian Neumaier, Axel Polleres, Roberto Navigli, Axel-Cyrille Ngonga Ngomo (+6 others)
2021 arXiv   pre-print
We summarise methods for the creation, enrichment, quality assessment, refinement, and publication of knowledge graphs.  ...  We conclude with high-level future research directions for knowledge graphs.  ...  Acknowledgements: We thank the attendees of the Dagstuhl Seminar on "Knowledge Graphs" for discussions that inspired and influenced this paper, and all those that make such seminars possible.  ... 
arXiv:2003.02320v5 fatcat:ab4hmm2f2bbpvobwkjw4xbrz4u

From Existential Graphs to Conceptual Graphs

John F. Sowa
2013 International Journal of Conceptual Structures and Smart Applications  
Peirce claimed that the rules for reasoning with EGs generate "a moving picture of the action of the mind in thought."  ...  With sufficient background knowledge and a clarifying dialog, informal graphs can be refined to any degree of precision.  ...  For conceptual graphs, the default ontology has a Description relation (Dscr), which relates a situation to a proposition.  ... 
doi:10.4018/ijcssa.2013010103 fatcat:q6m23ekynnho3exduwl3gyotz4

Matching Entities Across Different Knowledge Graphs with Graph Embeddings [article]

Michael Azmy, Peng Shi, Jimmy Lin, Ihab F. Ilyas
2019 arXiv   pre-print
Given a query entity in one knowledge graph, we wish to find the corresponding real-world entity in another knowledge graph.  ...  This paper explores the problem of matching entities across different knowledge graphs.  ...  Acknowledgments This research was supported by the Natural Sciences and Engineering Research Council (NSERC) of Canada.  ... 
arXiv:1903.06607v1 fatcat:la4z3lqvwndy7i3h6mbuozpvqy
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