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Ontology-based approach for information fusion

A.-C. Boury-Brisset
2003 Sixth International Conference of Information Fusion, 2003. Proceedings of the  
In this paper, we discuss the role of ontologies to facilitate information fusion from heterogeneous data and knowledge sources in support of high-level information fusion processes.  ...  We present preliminary work about ontological engineering for level 2 and 3 information fusion that should help semantic integration.  ...  As ontologies promote knowledge reuse and sharing, we should benefit from previous work conducted in related domains, for example in the military planning domain.  ... 
doi:10.1109/icif.2003.177491 fatcat:gdknhhi7vzcubewnrvrnzzgvuy

Fuzzy data analysis: challenges and perspectives

R. Kruse, C. Borgelt, D. Nauck
1999 FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)  
In meeting the challenges that resulted from the explosion of collected, stored, and transferred data, Knowledge Discovery in Databases or Data Mining has emerged as a new research area.  ...  However, the approaches studied in this area have mainly been oriented at highly structured and precise data. In addition, the goal to obtain understandable results is often neglected.  ...  In order to obtain meaningful fuzzy partitions, it is better to create rule bases by structure-oriented learning than by cluster-oriented or by hyperbox-oriented rule learning.  ... 
doi:10.1109/fuzzy.1999.790074 fatcat:joxtfffnxja6jluzj5524aceh4

Problems and Prospects in Fuzzy Data Analysis [chapter]

Rudolf Kruse, Christian Borgelt, Detlef Nauck
2000 Lecture Notes in Computer Science  
In meeting the challenges that resulted from the explosion of collected, stored, and transferred data, Knowledge Discovery in Databases or Data Mining has emerged as a new research area.  ...  However, the approaches studied in this area have mainly been oriented towards highly structured and precise data. In addition, the goal to obtain understandable results is often neglected.  ...  In addition, background domain knowledge and meta knowledge about the data is gathered.  ... 
doi:10.1007/10720181_4 fatcat:4b4he3jsorgaxmsmdavojhctiy

DS-TOD: Efficient Domain Specialization for Task Oriented Dialog [article]

Chia-Chien Hung, Anne Lauscher, Simone Paolo Ponzetto, Goran Glavaš
2022 arXiv   pre-print
In this work, we investigate the effects of domain specialization of pretrained language models (PLMs) for TOD.  ...  We further propose a resource-efficient and modular domain specialization by means of domain adapters -- additional parameter-light layers in which we encode the domain knowledge.  ...  This points to the importance of injecting both the knowledge of dialogic structure as well as domain knowledge for performance gains in TOD tasks in the domain of interest.  ... 
arXiv:2110.08395v2 fatcat:djxwmchfjbctvn6xyhrrsghi6i

Generating Ontologies from Relational Data with Fuzzy-Syllogistic Reasoning [chapter]

Bora İ. Kumova
2015 Communications in Computer and Information Science  
applications of different domains as well as information fusion over them.  ...  In that sense, a fuzzy syllogistic reasoner can be employed as a generic reasoner that combines possibilistic inferencing with probabilistic ontologies, thus facilitating knowledge exchange between ontology  ...  Ontologies An ontology is an object-oriented conceptualisation of a particular domain, such that it allows for logical reasoning about the domain.  ... 
doi:10.1007/978-3-319-18422-7_2 fatcat:uufri3e6zng2xp3sw6gjebcdaq

Multi-modal Deep Analysis for Multimedia

Wenwu Zhu, Xin Wang, Hongzhi Li
2019 IEEE transactions on circuits and systems for video technology (Print)  
data and knowledge fusion: multi-modal fusion of data with domain knowledge.  ...  On knowledge-guided fusion, we discuss the approaches for fusing knowledge with data and four exemplar applications that require various kinds of domain knowledge, including multi-modal visual question  ...  ACKNOWLEDGMENT We thank Guohao Li, Shengze Yu and Yitian Yuan for providing relevant materials and valuable opinions. This work will never be accomplished without their useful suggestions.  ... 
doi:10.1109/tcsvt.2019.2940647 fatcat:l4tchrkgrnaeradvc4nhfan2w4

Research on the Construction Technology of Knowledge Graph in Aviation

Xue Wang, Xizhong Yang, Jiapan Fu, Xuyi Qiu
2020 IOP Conference Series: Materials Science and Engineering  
Finally, an instance of knowledge graph for air combat is constructed.  ...  In order to alleviate the overload of airspace information under the network environment and integrate the scattered and useful airspace information, the technical architecture of knowledge graph in the  ...  from heterogeneous [2] , method based on machine learning [3] and open domain-oriented extraction method [4] , etc.  ... 
doi:10.1088/1757-899x/751/1/012040 fatcat:samlndmzsjcpblhk4rtceo7x2u

The Study : Data Fusion Methodologies

2017 International Journal of Recent Trends in Engineering and Research  
Most of the information is in the unstructured format and very few information available is in relational form or in some kind of structured form .Data mining has come a long way in extraction of information  ...  But as world is changing fast and to stay relevant in the market or remain market leader one need to see the unseen dimension of data, to answer to this question Data Fusion Technique comes into picture  ...  ACKNOWLEDGEMENTS Every orientation has an inscription of many people and it becomes the duty of author to express the deep thankfulness for the same.  ... 
doi:10.23883/ijrter.2017.3194.8aerc fatcat:bdis7ehndzfjdjap66yneagpna

Indexing protein sequences with MINOS

H. Ripoche, E. Mephu Nguifo, J. Sallantin
1994 Genome Informatics Series  
This paper concerns the use of an object-oriented database for the analysis of protein sequences.  ...  This classification of proteins may help finding sequence alignments, or discussing about them. Conversely, sequence alignments can be used to criticize the structuration of sequences.  ...  We have shown how data fusion could be used to create valid knowledge through an interaction with a user who compares the results of several methods.  ... 
doi:10.11234/gi1990.5.49 fatcat:umatsi7tabbxpiwntbnkvvg2se

A Cognition Knowledge Representation Model Based on Multidimensional Heterogeneous Data

Dong Zhong, Yi-An Zhu, Lanqing Wang, Junhua Duan, Jiaxuan He, Fei Xiong
2020 Complexity  
Aiming at the problem that the data sources of the knowledge base for constructing the cognitive knowledge graph are wide and heterogeneous, and there are entity semantic differences and knowledge system  ...  differences among different data sources, a multimodal entity semantic fusion model based on vector features and a system fusion framework based on HowNet are designed, and the environment description  ...  In addition, we also analyzed the necessity of knowledge fusion and described the problems in data fusion.  ... 
doi:10.1155/2020/8812459 fatcat:u55nusrw2vgj3kxhgq4mhlf7ni

Context-based Information Fusion: A survey and discussion

Lauro Snidaro, Jesús García, James Llinas
2015 Information Fusion  
In addition to the survey, several novel context exploitation dynamics and architectural aspects peculiar to the fusion domain are presented and discussed.  ...  This survey aims to provide a comprehensive status of recent and current research on context-based Information Fusion (IF) systems, tracing back the roots of the original thinking behind the development  ...  Acknowledgements This work was partially supported by ONRG grant N62909-14-1-N061, by projects MINECO TEC2012-1025 37832-C02-01 and TIN2012-30939, and by Mobility Grants Program of Fundación Caja Madrid  ... 
doi:10.1016/j.inffus.2015.01.002 fatcat:ldab5flzm5ailmyhd5nj77jv5u

Multi-agent Architecture for Knowledge Fusion from Distributed Sources [chapter]

Alexander Smirnov, Mikhail Pashkin, Nikolai Chilov, Tatiana Levashova
2002 Lecture Notes in Computer Science  
An object-oriented constraint network paradigm was proposed as a general model of ontology representation in the KF system KSNet based on the KSNet-approach [9].  ...  Ontologies are a technique of semantic knowledge representation for its further processing, and are considered as content theories of the kinds of objects, properties of objects and relations between objects  ...  An object scheme for working with the knowledge and database structure for its internal storage are designed based on this notation.  ... 
doi:10.1007/3-540-45941-3_31 fatcat:cn6x4clbo5abzpd3cxk3h5di3i

Subject index

1998 Proceedings Fifth International Conference on Software Reuse (Cat No 98TB100203) ICSR-98  
-12 1 Organization Domain Modeling (ODM), 78, 94- 102,216 organizational learning, 103 P++, horizontal parameterization in, 44 P2 data structure generator, 143-152,255 P3 generator, 255,257-266  ...  See Standard Development Methodologies (SDM) SE1 Feature Oriented Domain Analysis, 166 self-confidence of programmers, 19, 20 semantic data object messaging, 303 semantic properties, of SDL, 269-270,272  ... 
doi:10.1109/icsr.1998.685775 fatcat:tlan7royjnetvndpnaxb7vbpii

Knowledge-Based Service Architecture for Multi-risk Environmental Decision Support Applications [chapter]

Stuart E. Middleton, Zoheir A. Sabeur
2011 IFIP Advances in Information and Communication Technology  
We separate our data mining and data fusion processing into distinct pipelines, each supporting JDL inspired semantic levels of data processing.  ...  This paper describes our work to date on knowledge-based service architecture implementations for multi-risk environmental decision-support.  ...  Both authors acknowledge the continuing research collaboration with partners from the SANY consortium, in particular the Fraunhofer Institute IOSB. Also with GFZ in the TRIDEC project.  ... 
doi:10.1007/978-3-642-22285-6_11 fatcat:zyu2eq3elzhrzofbsy43kxg4pm

2D-Key-Points-Localization-Driven 3D Aircraft Pose Estimation

Yibo Li, Ruixing Yu, Bing Zhu
2020 IEEE Access  
In this paper, we are interesting in inferring 3D pose estimation of aircraft object leveraging 2D key-points localization.  ...  We implement a series of ablation experiments to evaluate our framework for aircraft object detection, key-points localization and orientation estimation on AKO dataset.  ...  To better learn the general aircraft structure, we apply random structure deformation on twelve different types of aircraft model as data augmentation.  ... 
doi:10.1109/access.2020.3026209 fatcat:klvrqtqj6rglvlkvxciqfawh3m
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