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An ontological model for the reality-based 3D annotation of heritage building conservation state

Tommy Messaoudi, Philippe Véron, Gilles Halin, Livio De Luca
2018 Journal of Cultural Heritage  
state Journal of Cultural Heritage 2 of interconnected 3D annotations (2D/3D spatial regions related to semantic concepts), this dedicated ontology integrates data, information and knowledge for describing  ...  for guiding the collaborative analysis of the conservation state towards the progressive implementation of a shared and consensual representation of this domain knowledge.  ...  opportunity to model the domain ontology.  ... 
doi:10.1016/j.culher.2017.05.017 fatcat:gdwlc2q7vzg3ddnvucggvioniu

Image Forgery Detection Based on Semantics

Yongzhen Ke, Weidong Min, Fan Qin, Junjun Shang
2014 International Journal of Hybrid Information Technology  
on automatic construction of common sense knowledge base extracted from real image dataset based on the proposed semantic image annotation and retrieval methods.  ...  The framework consists of three components including image recognition, semantic logic reasoning engine and generation of semantic rule.  ...  Firstly, semantic information of the ontology and its relationship is extracted from the real image dataset and stored as common sense knowledge base used in next step of semantic logic reasoning.  ... 
doi:10.14257/ijhit.2014.7.1.09 fatcat:pwukwo6ak5dqblrwdjqjlavpae

A TASK-DRIVEN DISASTER DATA LINK APPROACH

L. Y. Qiu, Q. Zhu, J. Y. Gu, Z. Q. Du
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In this paper, a task-oriented linking method is proposed for efficient disaster data management and intelligent service, with the objectives of 1) putting forward ontologies of disaster task and data  ...  data automatically and calculating the degree of correlation between each data and a target task.  ...  Further, using formula (3), the system calculates the similarity of integrated assessment and each images in the data set in space, time and resolution and ranks them according to the correlation degree  ... 
doi:10.5194/isprsarchives-xl-3-w3-179-2015 fatcat:ohvmnw2refgopbjhtti4cfqrva

A TASK-ORIENTED DISASTER INFORMATION CORRELATION METHOD

Q. Linyao, D. Zhiqiang, Z. Qing
2015 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In this paper, a task-oriented correlation method is proposed for efficient disaster data management and intelligent service with the objectives of 1) putting forward disaster task ontology and data ontology  ...  task-related data automatically and calculating the correlation between each data set and a certain task.  ...  ACKNOWLEDGEMENTS This work was supported by the National Natural Science Foundation of China (No. 41171311) and The National High Resolution Earth Observation System (the Civil Part) Technology Projects  ... 
doi:10.5194/isprsannals-ii-4-w2-169-2015 fatcat:ex2oyfl5kjbm5hfxklynho3doa

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  
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.  ...  automated identification and correlation of artefacts to reduce the burden placed upon the investigator to understand the nature and relationship of the artefacts.  ...  This was achieved by using Wearable Healthcare Ontology which aids the aggregation of heterogeneous data, supports the data sharing, and extracts knowledge for better decision-making.  ... 
doi:10.15394/jdfsl.2016.1384 fatcat:ks72ydtg5vgkdi2uub26u6yalq

Constructing Ontology of Brain Areas and Autism to Support Domain Knowledge Exploration and Discovery

Liang Hong, Haoshuai Xu, Xiaoyue Shi
2021 International Journal of Computational Intelligence Systems  
In our method, domain experts first design the schema of the ontology. Then, we use NLP techniques to extract and fuse knowledge from scientific literatures.  ...  Rule-based reasoning is performed to expand the scale of ontology. Finally, the ontology is evaluated using the qualitative and quantitative analysis.  ...  Therefore, the reasoning-reuse method takes schema design as the first step to provide key concepts of the ontology and guide the subsequent data acquisition and instance extraction.  ... 
doi:10.2991/ijcis.d.210203.005 fatcat:d5atqbdwubdmncvsz7wurbuvzi

Construction and applications of knowledge graph of porphyry copper deposits

Yongzhang Zhou, Qianlong Zhang, Wenjie Shen, Fan Xiao, Yanlong Zhang, Shiwu Zhou, Yongjian Huang, Junjie Ji, Lei Tang, Chong Ouyang
2021 Earth sciences and subsoil use  
, the automatic construction technology of complicated ESMS-ES-PS domain ontology and knowledge graph, the self-evolution and complementary techniques for multi-modal correlation data embedding in the  ...  The key scientific and technological problems for achieving the ES-MS-ES-PS knowledge graph system are included in the progressively relative system of the domain ontology and knowledge graph of ES-MS-ES-PS  ...  Knowledge acquisition is to extract knowledge from data of different sources and structures, form structured knowledge and store it in the knowledge graph.  ... 
doi:10.21285/2686-9993-2021-44-3-204-218 fatcat:7zur3kpelrejbmukwcxbzcfeke

Numerical Data Clustering Ontology Approach

Peter Grabusts
2018 MENDEL  
The most important parameters characterizing clustering are: metrics, number of clusters and cluster validity criteria. In classic clustering algorithms semantic knowledge is ignored.  ...  To scientific novelty should be attributed the combination of approaches of classical data analysis and ontological approach to their structuring, that increases the efficiency of their use in engineering  ...  Equally important is the acquisition of knowledge from clusters in the form of rules. All this creates problems in the interpretation of clustering results.  ... 
doi:10.13164/mendel.2018.1.031 fatcat:zuzxujd4s5gkvpgtsbo5fppxqq

A Systematic Review of Ontology-Based River Streamflow and Flood Data Management Challenges

Muhammad H. Mughal, Zubair A. Shaikh, Zahid H. Khand, Asif Rajput, Faheem Akhtar
2021 Quaid-e-awam University research journal of engineering science & technology  
In this research, we review the challenges of a large scale spatio-temporal system for streamflow of watersheds and flood disaster management based on the ontological semantic models.  ...  Earlier proposed research and developed ontologies by the esteemed researchers focused to address these challenges in a domain-specific context.  ...  The ontology models based on the information extracted from the correlating domains provides even better results by integrating reusable ontologies of the SWEET suit, especially for the forest, vegetation  ... 
doi:10.52584/qrj.1901.06 fatcat:udahjoj67rafblie5pxqahedte

A case study in knowledge acquisition for logistic cargo distribution data mining framework

et al. Nohuddin
2018 International Journal of Advanced and Applied Sciences  
Knowledge acquisition is one of important aspect of Knowledge Discovery in Databases to ensure the correct and interesting knowledge is extracted and represented to the stakeholders and decision makers  ...  The process can undertake using several techniques as such in this study, it is using data mining to extract the knowledge patterns and representing the knowledge described using ontology based representation  ...  and relevant literature, which are as follows:  Knowledge Discovery and Databases (KDD),  Knowledge Acquisition in Data Mining, andKnowledge Extraction and Representation Knowledge discovery in  ... 
doi:10.21833/ijaas.2018.01.002 fatcat:7ubcl3qq2jbghfoj2kccysbayi

Incremental knowledge extraction from IoT-based system for anomaly detection in vegetation crops

Danilo Cavaliere, Sabrina Senatore
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
The system collects spectral images of the regions of interest (ROIs) from satellites and drones, harmonized to calculate VIs and feeds a dataset of neardaily high-resolution integrated images.  ...  The collected knowledge can be used by end-users (e.g. agronomists, experts, etc.) to analyze the anomalies correlated to historical results and vegetation trends.  ...  Exiting semantics-based methods in literature introduce new ontologies aligned to existing ones for knowledge representation of remote sensing images [21] , define rules to classify images exploiting  ... 
doi:10.1109/jstars.2021.3139155 fatcat:46a2sgusgvasbmmj2mafdkjtji

A Semantic-Driven Knowledge Representation Model for the Materials Engineering Application

Xin Cheng, Changjun Hu, Yang Li
2014 Data Science Journal  
Then, based on the ontology modeling in VDS, the semantic representations of association mapping, rule-based reasoning, and evolution tracking are analyzed to support MEA knowledge acquisition.  ...  Faced with the MEA constantly changing user requirements, this model elaborates the semantic representation of data, services and their relationships to support the construction of domain knowledge ontology  ...  Based on ontology modeling in the VDS, the semantic representation of association mapping, rule-based reasoning, and evolution tracking has been discussed in support of MEA knowledge acquisition.  ... 
doi:10.2481/dsj.13-061 fatcat:hk7iwd4r2rdlbpwt3eh2pudaju

The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development

Zhigang Zhou, Yanyan Liu, Hao Yu, Lihua Ren, Zhihan Lv
2020 PLoS ONE  
There is a positive correlation between each level of knowledge management; among them, the positive correlation between knowledge acquisition and knowledge sharing is the strongest.  ...  in constructing knowledge management model.  ...  Specifically, the positive correlation between knowledge acquisition and knowledge sharing is the strongest; the positive correlation between knowledge innovation and knowledge acquisition is also strong  ... 
doi:10.1371/journal.pone.0242253 pmid:33259475 fatcat:fmfqtigmmbcwpgc2flf5agqzka

Development of an intelligent surgical training system for Thoracentesis

Hirenkumar Nakawala, Giancarlo Ferrigno, Elena De Momi
2018 Artificial Intelligence in Medicine  
We designed the context-aware software framework using the surgical process model encompassing ontology and production rules, based on the procedure descriptions obtained through textbooks and interviews  ...  , and on ontology-based and marker-based object recognition, where the system tracked and recognised surgical instruments and materials in surgeon's hands and recognised surgical instruments on the surgical  ...  Acknowledgement Funding: This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. H2020-ICT-2016-732515. References  ... 
doi:10.1016/j.artmed.2017.10.004 pmid:29169646 fatcat:q4nmjfhaifekdnv5maqca5hdve

Ontology Knowledge Mining Based Association Rules Ranking

Rihab Idoudi, Karim Saheb Ettabaa, Basel Solaiman, Kamel Hamrouni
2016 Procedia Computer Science  
In this paper, we design a distinct approach for ranking semantically interesting association rules involving the use of an ontology knowledge mining approach.  ...  Nevertheless, ARs algorithms produce huge amount of delivered rules and do not guarantee the usefulness and interestingness of the generated knowledge.  ...  Recently, in medical domains, ontologies have become the cornerstone in knowledge acquisition and formalizing [2] .  ... 
doi:10.1016/j.procs.2016.08.147 fatcat:u6oi2aw7rnendmbcidf2clsjtm
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