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Approach to Reasoning about Uncertain Temporal Data in OWL 2

Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais, Faiez Gargouri
2020 Procedia Computer Science  
In this paper, we propose an ontology-based approach for representing and reasoning about certain and uncertain temporal data.  ...  It includes three parts. (1) We extend the 4D-fluents approach with certain ontological components to represent the handled temporal data in OWL 2. (2) We extend the Allen's interval algebra to reason  ...  Conclusion and Future Directions In this paper, we propose an approach to represent and reason about certain and uncertain temporal data in OWL 2.  ... 
doi:10.1016/j.procs.2020.09.110 fatcat:6rwb6aoo75eftcg6x4ecfql4jy

Dealing with Data Imperfection in OWL 2 - Application to Alzheimer's patients Software

Nassira Achich
2020 International Semantic Web Conference  
Furthermore, we highlight our approach to deal with uncertain temporal data.  ...  This explains the emergence of di↵erent approaches to deal with data imperfections in semantic web.  ...  Acknowledgements I would like to thank Pr. Elisabeth Métais, Dr. Fayçal Hamdi, Pr. Faiez Gargouri and Dr. Fatma Ghorbel for their valuable supervising.  ... 
dblp:conf/semweb/Achich20 fatcat:y6wth4utnrfk7nc4uhemjkohga

Poss-OWL 2: Possibilistic Extension of OWL 2 for an Uncertain Geographic Ontology

Bal-Bourai Safia, Mokhtari Aicha
2014 Procedia Computer Science  
In this paper, we present an extension of the OWL 2, named Poss-OWL 2, based on our Poss − SROIQ(D) description logic (DL). Then we describe some reflections about the inference system.  ...  Nevertheless, classical ontology languages are not able to represent incomplete and uncertain knowledge, which are very important characteristics of several situations in geographic domain.  ...  This leads us to ask about the structure of the spatial data in their different dimensions, namely: spatial and temporal attributes under uncertainty.  ... 
doi:10.1016/j.procs.2014.08.121 fatcat:ymn53amkynh2dkucx4xautwqui

Modeling and Reasoning about Incomplete, Uncertain, and Approximate Historical Dates [article]

Ryan Shaw
Doing so makes it possible to query over incomplete, uncertain, and approximate historical dates using SPARQL and to infer possible temporal sequences using reasoners.  ...  But temporal ontologies can be dauntingly complex even for experienced data modelers, and as there are a number of possible ways to model incomplete, uncertain, and approximate historical dates, there  ...  Doing so makes it possible to query over incomplete, uncertain, and approximate historical dates using SPARQL and to infer possible temporal sequences using reasoners.  ... 
doi:10.6084/m9.figshare.19948994.v1 fatcat:6hgo2w533bgw3e4kajl35db6ee

Ontology-based representation and reasoning about precise and imprecise temporal data: A fuzzy-based view

Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais, Nebrasse Ellouze, Faïez Gargouri
2019 Data & Knowledge Engineering  
Temporal representation and reasoning are important facets in the design of many Semantic Web applications. Several approaches exist to represent and reason about precise temporal data in ontology.  ...  In this paper, we propose an ontology-based approach for representing and reasoning about precise and imprecise temporal data.  ...  This ontology allows representing and reasoning about precise and imprecise temporal data in OWL 2.  ... 
doi:10.1016/j.datak.2019.101719 fatcat:fb4l5iklq5cvjohwclvgsjcba4

Building the Seshat Ontology for a Global History Databank [chapter]

Rob Brennan, Kevin Feeney, Gavin Mendel-Gleason, Bojan Bozic, Peter Turchin, Harvey Whitehouse, Pieter Francois, Thomas E. Currie, Stephanie Grohmann
2016 Lecture Notes in Computer Science  
The ontology was developed to transition from traditional social science data collection and storage techniques to an RDF-based approach.  ...  Thus the paper provides guidance for deploying RDF in the social sciences. Within Seshat, OWL-based data quality management will assure the data is suitable for statistical analysis.  ...  However given the emphasis on fixing the data quality issue in the wiki it has proved necessary to move to OWL for the ontology rather than using a linked data/RDFS approach.  ... 
doi:10.1007/978-3-319-34129-3_42 fatcat:5dyk4h3kg5a33dp46he6624t7m

FT-SWRL: A Fuzzy-Temporal Extension of Semantic Web Rule Language [article]

Abba Lawan, Abdur Rakib
2019 arXiv   pre-print
imprecise temporal domain knowledge in OWL ontologies.  ...  Fuzzification process of interval-based temporal logic is further discussed as a reasoning paradigm for our FT-SWRL rules, with the aim of achieving a complete OWL-based fuzzy temporal reasoning.  ...  Thus, the built-ins allow temporal reasoning about OWL ontologies using SWRL rules.  ... 
arXiv:1911.12399v1 fatcat:jjai2yxrp5gg7cdszvxdragwm4

Ontology Temporal Evolution for Multi-Entity Bayesian Networks under Exogenous and Endogenous Semantic Updating [article]

Massimiliano Dal Mas
2010 arXiv   pre-print
It is a challenge for any Knowledge Base reasoning to manage ubiquitous uncertain ontology as well as uncertain updating times, while achieving acceptable service levels at minimum computational cost.  ...  A solution that uses Multi-Entity Bayesan Networks with SWRL rules, and a Java program is presented to dynamically monitor Exogenous and Endogenous temporal evolution on updating merging ontologies on  ...  The set of methods for using uncertain knowledge in combination with uncertain data in the reasoning process is called reasoning with uncertainty.  ... 
arXiv:1009.2084v1 fatcat:2566lg3qrvcqxbzdndx3vn6c44

Semantic web technologies in pervasive computing: A survey and research roadmap

Juan Ye, Stamatia Dasiopoulou, Graeme Stevenson, Georgios Meditskos, Efstratios Kontopoulos, Ioannis Kompatsiaris, Simon Dobson
2015 Pervasive and Mobile Computing  
systems can be deployed. 1 2 in OWL one can e↵ectively model and reason over taxonomic knowledge.  ...  OWL and OWL 2 OWL's design is strongly influenced by Description Logics (DL) [6] .  ...  Inspired by the previous approach and DLP [56] , the semantics of the OWL 2 RL profile is realised as a partial axiomatisation of OWL 2 semantics in the form of firstorder implications, known as OWL 2  ... 
doi:10.1016/j.pmcj.2014.12.009 fatcat:dehfs5inkbexpagk265co5tvxi

CHRONOS: Improving the Performance of Qualitative Temporal Reasoning in OWL

Eleftherios Anagnostopoulos, Euripides G.M. Petrakis, Sotirios Batsakis
2014 2014 IEEE 26th International Conference on Tools with Artificial Intelligence  
We investigate on potential improvements to reasoning about qualitative temporal information in OWL.  ...  The experimental results demonstrate that the two implementation variants of CHRONOS discussed in this work run up to two orders of magnitude faster than SOWL, a temporal reasoner implemented in SWRL.  ...  ACKNOWLEDGEMENTS The research leading to these results has received funding from the European Unions Seventh Framework Programme (FP7/2007-2013) under grant agreement no 604691 (project FI-STAR).  ... 
doi:10.1109/ictai.2014.54 dblp:conf/ictai/AnagnostopoulosPB14 fatcat:grmfyg5oyjfy5k2kk2nsdupiha

An infrastructure for probabilistic reasoning with web ontologies

Jakob Huber, Mathias Niepert, Jan Noessner, Joerg Schoenfisch, Christian Meilicke, Heiner Stuckenschmidt, Pascal Hitzler
2016 Semantic Web Journal  
We show how to translate OWL-EL as well as RDF schema to Markov logic and how to use ROCKIT for applying MAP inference on the given set of formulas.  ...  These scenarios are ontology matching, and knowledge base verification, with a special focus on temporal reasoning.  ...  In [4, 2] OWL 2.0 is extended in order to enable temporal reasoning for supporting temporal queries.  ... 
doi:10.3233/sw-160219 fatcat:ar723byi55bjvjafoqh3vq73ey

A probabilistic ontological framework for the recognition of multilevel human activities

Rim Helaoui, Daniele Riboni, Heiner Stuckenschmidt
2013 Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing - UbiComp '13  
Our solution allows us to cope with the uncertain nature of ontological descriptions of activities, while exploiting the expressive power and inference tools of the OWL 2 language.  ...  In this paper, we present an in-depth study of activity modeling and reasoning within that framework, as well as an experimental evaluation with a large real-world dataset.  ...  Acknowledgments The authors would like to thank Laura Palmi for her excellent work in ontology design and software implementation.  ... 
doi:10.1145/2493432.2493501 dblp:conf/huc/HelaouiRS13 fatcat:tmvwu7epqzdjtgqgss2pzu35iu

A Model for Ontology-Based Scene Description for Context-Aware Driver Assistance Systems

Simone Fuchs, Stefan Rass, Bernhard Lamprecht, Kyandoghere Kyamakya
2008 Proceedings of the First International Conference on Ambient Media and Systems  
One key-enabler for describing and exchanging context between intelligent vehicles, which use it for reasoning about their environment, is a common context-model.  ...  In this paper, we briefly discuss the influence of the driving context on decision-making and present an OWL-based context-model for abstract scene representation of driving scenarios.  ...  For modeling the spatio-temporal data, the model was inspired by existing approaches, discussed in section 2.2, especially [15] and [13] .  ... 
doi:10.4108/icst.ambisys2008.2869 dblp:conf/ambisys/FuchsRLK08 fatcat:hjkls7d65fatlgriddbaqjyue4

Integration of Ontological Scene Representation and Logic-Based Reasoning for Context-Aware Driver Assistance Systems

Simone Fuchs, Stefan Rass, Kyandoghere Kyamakya
2008 Electronic Communications of the EASST  
For integration with logic programming a prototypical development of an overtaking assistant is shown to demonstrate the feasibility of the approach.  ...  For traffic rules, we integrate the ontological scene description with a logic programming environment, to enable complex and powerful reasoning on the given information.  ...  Also, the reasoning mechanism or the content of the rule base are not explained in detail. The authors seems to consider neither temporal concepts nor uncertain information.  ... 
doi:10.14279/tuj.eceasst.11.127 dblp:journals/eceasst/FuchsRK08 fatcat:4hwrehe7sjegndlkvngh56a42u

OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System [chapter]

Kim Anh Pham Ngoc, Young-Koo Lee, Sung-Young Lee
2005 Lecture Notes in Computer Science  
The main benefit of this model is the ability to reason over context data to predict what the user wants the system to do.  ...  In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user's behavior, while preference learning tries to utilize the user's  ...  Fig. 3. example of user preference and routine data in OWL OWL-Based Reasoning and Learning Mechanism In this session, to show the advantage of ontology-based modeling approach using OWL, we will illustrate  ... 
doi:10.1007/11575801_43 fatcat:jiaezcq7rzg43btdzij62amd7i
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