scholarly journals Knowledge Modeling of Airborne Missile Management System Based on Multi-dimensional Fuzzy Ontology

2021 ◽  
Vol 1952 (4) ◽  
pp. 042073
Author(s):  
Jianfeng Li ◽  
Mingqing Xiao ◽  
Yao Sun ◽  
Yaojun Chen
Keyword(s):  
Management System ◽  
Knowledge Modeling ◽  
Fuzzy Ontology

Study on the Representation System of Product Design Knowledge

2010 ◽  
Vol 458 ◽  
pp. 42-47
Author(s):  
Yuan Wei Liu
Keyword(s):  
Product Design ◽  
Management System ◽  
Description Logic ◽  
Design Knowledge ◽  
Concept Design ◽  
Knowledge Modeling ◽  
Knowledge Model ◽  
Representation System ◽  
Construction Machinery ◽  
Fuzzy Interval

In this paper, we investigated the knowledge modeling and proposed an ontology description logic theory based on fuzzy interval in order to support the management and reuse of design knowledge. We also established the methods to classify and represent the concept-design knowledge and developed an ontology-based model presenting the design knowledge as well as a model for modeling cycles. We further applied these methods and models to develop a specific ontology-based design knowledge model and validated them in the management system of design knowledge for the construction machinery.

Knowledge Modeling and Semantic Retrieval of Product Data Based on Fuzzy Ontology and SPARQL

2011 ◽  
Vol 4 (4) ◽  
pp. 1855-1859 ◽  
Author(s):  
Jun Zhai ◽  
Changfeng Yuan ◽  
Yan Chen ◽  
Jianfeng Li
Keyword(s):  
Semantic Retrieval ◽  
Knowledge Modeling ◽  
Product Data ◽  
Fuzzy Ontology

scholarly journals 3D GIS FOR A SMART MANAGEMENT SYSTEM APPLIED TO HISTORICAL VILLAGES DAMAGED BY EARTHQUAKE

2021 ◽  
Author(s):  
Francesco Di Stefano ◽  
Alban Gorreja ◽  
Fabio Piccinini ◽  
Roberto Pierdicca ◽  
Eva Savina Malinverni
Keyword(s):  
Management System ◽  
Point Cloud ◽  
Information Management System ◽  
Technical Documentation ◽  
Knowledge Modeling ◽  
3D Gis ◽  
Geospatial Information ◽  
Entire Area ◽  
Area Of Interest ◽  
Modeling Data

Historic villages are included in the category of cultural heritage to be safeguarded and preserved. Accidental events, such as earthquakes, represent a threat to their vulnerability. Usually, the analyses of damaged buildings, which are part of these villages, are then carried out singularly, not fostering instead the constitution of a mapping at the urban scale that allows a more complete knowledge of the state of damage and risk of adjacent buildings and of the entire area. An information system such as 3D GIS is a suitable solution for this purpose. The aim of this research is to develop a SMART management system for preservation activities of historical villages through the management of heterogeneous types of data, from the survey to the technical documentation. The workflow is structured as follows: (i) Data acquisition: the survey of a small village was carried out by combining geomatic techniques necessary to produce a complete point cloud; (ii) 3D modeling: data extrapolation from the post-processed point cloud and subsequently generation of a GIS based on 3D model thanks to the creation of DTM and DSM of the area of interest; (iii) Knowledge modeling: a geospatial information model is necessary to put in order and together all the information collected for the whole village and for each building composing it; (iv) SMART management modeling: improvement of the information management system that guarantees the possibility to enrich and update data at any time. This research paves the way to develop a web platform where GIS data would be imported for a digital twin approach. 

Detection Algorithm of Semantic Inconsistency for Fuzzy Ontology Merging

2014 ◽  
Vol 530-531 ◽  
pp. 407-412
Author(s):  
Yong Hong Luo ◽  
Wei Ming Liu
Keyword(s):  
Domain Knowledge ◽  
Heterogeneous Systems ◽  
Detection Algorithm ◽  
Semantic Integration ◽  
Detection Methods ◽  
Knowledge Modeling ◽  
Distributed Environment ◽  
Ontology Merging ◽  
Fuzzy Ontology ◽  
Multiple Data

Fuzzy ontology can be built to effectively deal with uncertainty and ambiguity for domain knowledge modeling. Merging multiple fuzzy local ontologies may implement semantic integration of multiple data sources and semantic interoperability between heterogeneous systems in distributed environment. In order to solve the problem of semantic inconsistency mappings for fuzzy ontology merging system, we proposed a detection algorithm of semantic inconsistency mapping which includes sub detection methods of circular semantic inconsistency, subclass-of axiom redundancy semantic inconsistency, attribute membership semantic inconsistency and disjoint axioms redundancy semantic inconsistency. With the detection algorithm of semantic inconsistency, we establish fuzzy ontology merging system in experiment.

Using Fuzzy Ontology Model to Achieve Transportation Knowledge Modeling And Sharing

Logistics ◽  
2009 ◽  
Author(s):  
Jun Zhai ◽  
Jianfeng Li ◽  
Miao Lv ◽  
Qinglian Wang
Keyword(s):  
Knowledge Modeling ◽  
Fuzzy Ontology ◽  
Ontology Model

Knowledge Modeling of Product Data Based on Fuzzy Ontology

2010 ◽  
Vol 26-28 ◽  
pp. 347-351 ◽  
Author(s):  
Jun Zhai ◽  
Jian Feng Li ◽  
Yan Chen
Keyword(s):  
Semantic Web ◽  
Knowledge Sharing ◽  
Domain Ontology ◽  
Product Data Management ◽  
Product Knowledge ◽  
Knowledge Modeling ◽  
Product Data ◽  
Fuzzy Ontology ◽  
Fuzzy Linguistic Variable ◽  
Fuzzy Linguistic

Ontology is the basis of knowledge modeling on the Semantic Web, and fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. Ontology-base knowledge modeling of product data management (PDM) is meaningful for product design and trade etc. In order to handle fuzzy phenomenon and uncertainty of product knowledge, this paper proposes a series of fuzzy ontology models that consists of fuzzy domain ontology and fuzzy linguistic variable ontologies. Then, a fuzzy ontology framework is presented, including three parts: concepts, properties of concepts and values of properties. The application, which uses fuzzy ontology to model product knowledge, shows that these models can overcome the localization of other fuzzy ontology models, and this research facilitates the fuzzy knowledge sharing and reuse for PDM on the Semantic Web.

An Ontology-Based Design Knowledge Model for the Construction Machinery

2010 ◽  
Vol 458 ◽  
pp. 271-276 ◽  
Author(s):  
Zhu Gao ◽  
Xiao Min Ji ◽  
Hun Guo
Keyword(s):  
Management System ◽  
Design Knowledge ◽  
Concept Design ◽  
Knowledge Modeling ◽  
Knowledge Model ◽  
Construction Machinery ◽  
Fuzzy Interval

In this paper, we investigated the knowledge modeling and proposed an ontology-based descriptively-logic theory using fuzzy interval in order to support the management and re-usage of the knowledge of design. We also established the methods to classify and present the concept-design knowledge and developed an ontology-based model presenting the knowledge of design as well as a model for modeling cycles. We further applied these methods and models to develop a specific ontology-based design-knowledge model and At last the practicability and validity of these methods are validated in the management system of design knowledge for the construction machinery.

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