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DC Proposal: Decision Support Methods in Community-Driven Knowledge Curation Platforms [chapter]

Razan Paul
2011 Lecture Notes in Computer Science  
We aim to develop decision support methods in the skeletal dysplasia domain by applying uncertainty reasoning over Semantic Web data.  ...  Skeletal dysplasias comprise a group of genetic diseases characterized by highly complex, heterogeneous and sparse data.  ...  What is the optimum approach for combining existing skeletal dysplasia evidential statements to form new evidence?  ... 
doi:10.1007/978-3-642-25093-4_26 fatcat:odrqyckyevb2ljysbw2awv76nu

An Automated Approach for Digital Forensic Analysis of Heterogeneous Big Data

Hussam Mohammed, Nathan Clarke, Fudong Li
2016 Journal of Digital Forensics, Security and Law  
The proposed approach focuses upon the use of metadata to solve the data volume problem, semantic web ontologies to solve the heterogeneous data sources and artificial intelligence models to support the  ...  In addition, when multiple resources are included in one case, there is an inability to cross-correlate findings which often leads to inefficiencies in processing and identifying evidence.  ...  Zhenyou et al. (2011) studied the nature of heterogeneous databases and integration between nodes in distributed heterogeneous databases.  ... 
doi:10.15394/jdfsl.2016.1384 fatcat:ks72ydtg5vgkdi2uub26u6yalq

Emerging Trends in Reducing Semantic Gap towards Multimedia Access: A Comprehensive Survey

Aijazahamed Qazi, R. H. Goudar
2016 Indian Journal of Science and Technology  
Semantic web is combined with statistical and machine learning techniques to increase the efficiency of an information retrieval system.  ...  Findings: This paper provides an overview of contemporary challenges and open research issues in reducing the Semantic gap.  ...  Related Approaches to reduce Semantic Gap The primary objective of an information retrieval system across web is to reduce semantic gap.  ... 
doi:10.17485/ijst/2016/v9i30/99072 fatcat:asnamx3urveabjyritsri3guuy

Managing Localization Uncertainty to Handle Semantic Lane Information from Geo-Referenced Maps in Evidential Occupancy Grids

Chunlei Yu, Veronique Cherfaoui, Philippe Bonnifait, Dian-ge Yang
2020 Sensors  
Readings from an exteroceptive sensor are as well integrated in the grid to provide real-time obstacle information.  ...  This paper presents a grid-based evidential approach for modeling semantic road space by taking advantage of a prior map that contains lane-level information.  ...  Compared with object-based approaches such as [2, 3] , the grid-based method has several advantages since it is straightforward to integrate heterogeneous sensor information and it relaxes data-association  ... 
doi:10.3390/s20020352 pmid:31936382 pmcid:PMC7013605 fatcat:3idndsxgkjhiljkhxz4dnk55ii

Analysis of convergent evidence in an evidential reasoning knowledge-based classification

Y COHEN, M SHOSHANY
2005 Remote Sensing of Environment  
In addition to that, levels of two class properties could be analyzed according to the distribution of CBVs of each class: heterogeneity and uniqueness.  ...  For that purpose we applied a KBS based on D-S ToE to crop recognition in a wide heterogeneous region and compared its results with those of the application of ISODATA classification.  ...  We thank also to Dr. Victor Alchanatis for his helpful comments.  ... 
doi:10.1016/j.rse.2005.04.009 fatcat:qwbdl5tbtvho5hktrugndjxrqm

Information access in multimedia databases based on feature models

Arjen P. De Vries, Menzo Windhouwer, Peter M. G. Apers, Martin Kersten
2000 New generation computing  
We describe our experimentation platform under development, making database technology available to multimedia. Our approach is based on the new notion of feature databases.  ...  Access to multimedia objects in databases has long been limited to the information provided in manually assigned keywords.  ...  A special word of thanks goes to Mark van Doorn, Niels Nes, and Albrecht Schmidt for their research contributions to this paper.  ... 
doi:10.1007/bf03037551 fatcat:2gsdwwqr7bhyzmfyhem6yoazyu

An evidential approach to query interface matching on the deep Web

Jun Hong, Zhongtian He, David A. Bell
2010 Information Systems  
We propose an evidential approach to combining multiple matchers using Dempster-Shafer theory of evidence.  ...  Matching query interfaces is a crucial step in data integration across multiple Web databases. The problem is closely related to schema matching that typically exploits different features of schemas.  ...  Acknowledgments The authors wish to thank Phil Bernstein for his helpful suggestions and comments on the research presented in the paper and the earlier version of the paper.  ... 
doi:10.1016/j.is.2009.08.004 fatcat:fsws7fdchfdyrpyt5jtikwtye4

The Relevance of Evidentiality for Ancient Greek: Some Explorative Steps through Plato

Raf Van Rooy
2016 Journal of Greek Linguistics  
In summary, the paper endeavors to show the importance of "evidentiality" as an integrative conceptual frame for the descriptive analysis of certain Ancient Greek phenomena.  ...  I also explore the way in which evidential values are conveyed (semantic aspect).  ...  prove to be a useful integrative approach.  ... 
doi:10.1163/15699846-01502002 fatcat:n4b3t4ww5verzpm7lzv35yzhkq

Next Generation Search Interfaces – Interactive Data Exploration and Hypothesis Formulation [chapter]

Jane Hunter, Katya Falkovych, Suzanne Little
2004 Lecture Notes in Computer Science  
Such systems use the semantic relationships to structure the assimilated search results into interactive semantic graphs or hypermedia presentations which enable the user to quickly and easily explore  ...  More recently researchers have been investigating interactive, graphical and multimedia approaches which use ontologies to model the knowledge space.  ...  Thanks to CWI for supporting Katya's secondment to DSTC and to John Drennan and the University of Queensland's Centre for Microscopy and Microanalysis for providing the fuel cell images and data and for  ... 
doi:10.1007/978-3-540-30230-8_9 fatcat:fshlq6dpojb2tmr4r56qoptxai

New Insights in Computational Methods for Pharmacovigilance: E-Synthesis, a Bayesian Framework for Causal Assessment

Francesco De Pretis, Barbara Osimani
2019 International Journal of Environmental Research and Public Health  
This article highlights the need for a philosophical approach in order to fully realize a pharmacovigilance 2.0 revolution.  ...  Today's surge of big data coming from multiple sources is raising the stakes that pharmacovigilance has to win, making evidence synthesis a more and more robust approach in the field.  ...  Through a Bayesian approach, accumulating data are used to formally update prior distributions via Bayes rule, yielding posterior distributions that in turn become prior distributions awaiting further  ... 
doi:10.3390/ijerph16122221 pmid:31238543 pmcid:PMC6617215 fatcat:npeayycfafa3rhegosnvz2k4hm

TalkMine: A Soft Computing Approach to Adaptive Knowledge Recommendation [chapter]

Luis Mateus Rocha
2001 Studies in Fuzziness and Soft Computing  
TalkMine is based on the integration of distributed knowledge networks using Evidence Sets, an extension of fuzzy sets.  ...  Traditional IR systems are based solely on keywords that index (semantically characterize) documents and a query language to retrieve documents from centralized databases according to these keywords -users  ...  To make this combination more general, assume that we possess an evidential weight m 1 and m 2 associated with each F 1 and F 2 respectively.  ... 
doi:10.1007/978-3-7908-1815-4_4 fatcat:3ydtul5kqzdunkpwdkkjpnmevu

System identification of fuzzy cartesian granule feature models using genetic programming [chapter]

James F. Baldwin, Trevor P. Martin, James G. Shanahan
1999 Lecture Notes in Computer Science  
G_DACG helps avoid many of the problems of traditional approaches to system identification that arise from feature selection and feature abstraction such as local minima.  ...  Within a machine learning context the system identification of good, parsimonious additive Cartesian granule feature models is an exponential search problem.  ...  Genetic programming [30, 31] forms an integral part of the G_DACG feature discovery algorithm.  ... 
doi:10.1007/bfb0095073 fatcat:gj6om6bbgzdtzgkduulzvfhrwy

Bayesian integration of networks without gold standards

Jochen Weile, Katherine James, Jennifer Hallinan, Simon J. Cockell, Phillip Lord, Anil Wipat, Darren J. Wilkinson
2012 Computer applications in the biosciences : CABIOS  
J.W. implemented the method, the test harness, performed the semantic integration of the S. cerevisiae data and applied the Bayesian method on it.  ...  ACKNOWLEDGEMENTS The authors would like to thank Matthew Pocock for his help with Java code optimization and the Newcastle Integrative Bioinformatics writing group for their suggestions towards the manuscript  ...  It is particularly useful for the application on semantically integrated knowledge networks that consist of heterogeneous data, since it allows for every sub-network to be addressed separately without  ... 
doi:10.1093/bioinformatics/bts154 pmid:22492647 pmcid:PMC3356839 fatcat:5qaehmpnnfcefi35fhocyql6cm

Developing new technologies for the ARPA-Rome Planning Initiative

J. Stillman, P. Bonissone
1995 IEEE Expert  
tegrate their work with others to provide Plan analysis evaluates and compares integrated capabilities.  ...  an emerging crisis.  ...  Acknowledgments We have tried to correctly describe the work of many individual researchers.  ... 
doi:10.1109/64.391962 fatcat:2huqke6lc5hlthc4u7shcs5qoi

Controlling with words using automatically identified fuzzy Cartesian granule feature models

James F. Baldwin, Trevor P. Martin, James G. Shanahan
1999 International Journal of Approximate Reasoning  
We present a new approach to representing and acquiring controllers based upon Cartesian granule features ± multidimensional features formed over the cross product of words drawn from the linguistic partitions  ...  The system identi®cation of good, parsimonious additive Cartesian granule feature models is an exponential search problem.  ...  integrals.  ... 
doi:10.1016/s0888-613x(99)00016-x fatcat:tveckl2rg5eornoswz5jr6euty
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