• Corpus ID: 13454943

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

@article{Mas2010OntologyTE,
  title={Ontology Temporal Evolution for Multi-Entity Bayesian Networks under Exogenous and Endogenous Semantic Updating},
  author={Massimiliano Dal Mas},
  journal={ArXiv},
  year={2010},
  volume={abs/1009.2084}
}
  • M. Mas
  • Published 10 September 2010
  • Computer Science
  • ArXiv
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. This paper proposes an application-independent merging ontologies for any open interaction system. 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… 
Elastic adaptive ontology matching on evolving folksonomy driven environment
  • M. Mas
  • Computer Science
    EAIS
  • 2012
TLDR
The deformation exhibiting linear behavior on FSN based on folksonomy tags chosen by different user on web site resources is discussed, showing that the linear elastic constitutive equation possesses some leaning for the investigation.
Emergent Behaviors from Folksonomy Driven Interactions
  • M. Mas
  • Computer Science
    ArXiv
  • 2020
TLDR
A synthetic, bottom-up approach to studying group behavior, consisting of designing and testing a variety of social interactions and cultural scenarios with Folksodriven tags, and proposed set of basic interactions which can be used to structure and simplify the process of both designing and analyzing emergent group behaviors.
Survey of Multi Entity Bayesian Network (MEBN) and its applications in probabilistic reasoning.
TLDR
The paper thoroughly introduces the MEBN theory with an example modeling for a problem description and discusses various other works which included MEBN Theory as a core of their research.
Hyperelastic-Based Adaptive Dynamics Methodology in Knowledge Acquisition for Computational Intelligence on Ontology Engineering of Evolving Folksonomy Driven Environment
  • M. Mas
  • Computer Science
    Sentiment Analysis and Ontology Engineering
  • 2016
TLDR
This paper considers ontologies based on folksonomies according to a new concept structure called “Folksodriven” to represent guysonomies and formulated a constitutive law on FSN investigating towards a systematic mathematical analysis on stress analysis and equations of motion for an evolving ontology matching on an environment defined by the users’ folksonomy choice.
Elastic adaptive ontology matching on evolving folksonomy driven environment
  • M. Dal Mas
  • Computer Science
    2012 IEEE Conference on Evolving and Adaptive Intelligent Systems
  • 2012
TLDR
The deformation exhibiting linear behavior on FSN based on folksonomy tags chosen by different user on web site resources is discussed, showing that the linear elastic constitutive equation possesses some leaning for the investigation.
Intelligent Interface Architectures for Folksonomy Driven Structure Network
  • M. Mas
  • Computer Science
    2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems
  • 2012
TLDR
The Folks driven Structure Network (FSN) is presented to resolve the ambiguity of definitions of folksonomy tags suggestions for the user and a new concept structure called Folksodriven is used in this paper.
Faceted Semantic Search for Personalized Social Search
  • M. Mas
  • Computer Science
    ArXiv
  • 2012
TLDR
This paper is analyzed the prototyping of a faceted semantic search for personalized social search using the "joint meaning" in a community environment using the faced taxonomy with the Semantic Web.
Elasticity on Ontology Matching of Folksodriven Structure Network
  • M. Mas
  • Computer Science
    ArXiv
  • 2012
TLDR
The goal of this paper is on defining a base for a FSN plasticity theory to analyze, and it is necessary a systematic mathematical analysis on deformation and fracture for the ontology matching on the FSN.
Cluster Analysis for a Scale-Free Folksodriven Structure Network
  • M. Mas
  • Computer Science
    ArXiv
  • 2011
TLDR
A cluster analysis is used to measure a new concept of a structure called "Folksodriven", which consists of tags, source and time, and its characteristics, Clustering Coefficient, is compared with random networks.
Folksodriven structure network
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It is observed that the Folksodriven Network has relative low path lengths checking it with classic networking measures (clustering coefficient) and experiment result shows it can facilitate serendipitous discovery of content among users.

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