Computer Engineering Commons^™

Spatial Knowledge Representation Model Of Simulation Scenario Based On Ontology, Zhu Jie, Hongjun Zhang

Journal of System Simulation

Abstract: Military simulation scenario has abundant spatial knowledge and is closely related to various models of combat simulation. In view of the lack of uniform specification for the description of simulation scenario knowledge, it is necessary to construct a spatial knowledge representation model in line with spatial thinking to effectively analyze the spatial entities and their interrelationships in simulation scenario. The ontology method is used to establish spatial knowledge domain ontology and form the formal description specification of spatial knowledge concept; the spatial knowledge structure is described hierarchically by using the method of concept knowledge tree, clarifying the semantic logic …

Agent-Based Semantic Role Mining For Intelligent Access Control In Multi-Domain Collaborative Applications Of Smart Cities, Rubina Ghazal, Ahmad Kamran Malik, Basit Raza, Nauman Qadeer, Nafees Qamar, Sajal Bhatia

School of Computer Science & Engineering Faculty Publications

Significance and popularity of Role-Based Access Control (RBAC) is inevitable; however, its application is highly challenging in multi-domain collaborative smart city environments. The reason is its limitations in adapting the dynamically changing information of users, tasks, access policies and resources in such applications. It also does not incorporate semantically meaningful business roles, which could have a diverse impact upon access decisions in such multi-domain collaborative business environments. We propose an Intelligent Role-based Access Control (I-RBAC) model that uses intelligent software agents for achieving intelligent access control in such highly dynamic multi-domain environments. The novelty of this model lies in using …

Towards An Ontology-Based Approach To The "New Normality" After Covid-19:The Spanish Case During Pandemic First Wave, Evelio Gonzalez

Turkish Journal of Electrical Engineering and Computer Sciences

The impact of the pandemic caused by COVID-19 has been immense in all fields of human activity. In most of the affected countries, the authorities have decreed a series of legal measures to try to stop the growth of the disease and the number of people affected by it. These legal measures involved, in most cases, restrictions on the free movement of people and on work and trade activities, new hygiene procedures, and social distancing. In the particular case of Spain, the rapid evolution of the pandemic led to the declaration of a so-called state of alarm and a period …

Application Of Domain Knowledge Representation In Simulation Tutoring For Weapon Utilization, Zhang Chi, Danhua Peng, Kedi Huang

Journal of System Simulation

Abstract: According to the requirements and characteristics of the simulation tutoring system for weapon utilization, a knowledge base depending on the domain ontology was designed. The knowledge for weapon utilization, the knowledge representation, and the method of knowledge representation were introduced. Through a combination of the ontology technology and various existing models, the key points of using specific weapon could be mastered by processing the date, information, and experience from expert. The conceptual model of knowledge was built. A knowledge base for weapon utilization was designed and implemented. The structure and function of the simulation tutoring system and rule-based expert …

Ontology-Driven Semantic Data Integration In Open Environment, Islam M. Ali

Electronic Thesis and Dissertation Repository

Collaborative intelligence in the context of information management can be defined as "A shared intelligence that results from the collaboration between various information systems". In open environments, these collaborating information systems can be heterogeneous, dynamic and loosely-coupled. Information systems in open environment can also possess a certain degree of autonomy. The integration of data residing in various heterogeneous information systems is essential in order to drive the intelligence efficiently and accurately. Because of the heterogeneous, loosely-coupled, and dynamic nature of open environment, the integration between these information systems in the data level is not efficient. Several approaches and models have …

Scalable Semantic Web Services Architecture Design And Service Discovery, Xiaoxing Niu, Zhixue Wang, Minggang Yu

Journal of System Simulation

Abstract: With the rapid development of computer and network technologies, the variety and quantity of Web Services on the network is also increasing. How to find the requiring services quickly and accurately becomes increasingly important. In order to solve the problems with traditional Web Services architecture, such as poor scalability and lacking of semantic information, a scalable semantic Web Services architecture was proposed, the architecture could meet the requirements to construct distributed and large-scale systems based on SOA for modern enterprises. Service publication and deletion algorithms of the architecture were studied, and dynamic adjustment algorithms of the architecture was studied …

Research On Context-Aware Model Of Combat Processes, Qiaoyu Deng, He Ming, Zhixue Wang, Zhongwei Wang

Journal of System Simulation

Abstract: In traditional joint operations, all collaborators make collaboration rules in advance to guide the operations. The unknown battlefield environment varies constantly, and military organizations must make adjustments to guarantee the combat operations order. A model of operational processes based on context awareness is built. The ontology theory is introduced to present the context. On the basis of event calculus, the analysis is carried out to the perceived context of combat processes, and the variation of organizations ability and the situation of processes are provided to guide the self-synchronizing decision-making.

Ontology Based Devs Modeling Method, Rong Gang, Xiao Jun, Yunping Hu, Yiping Feng

Journal of System Simulation

Abstract: In the field of modeling and simulation, it’s difficult to reuse the models because the models and simulation system are coupled seriously. The Ontology-driven modeling theory is a simulation modeling methodology for model reuse. A new DEVS modeling method was proposed based on this theory. The DEVS modeling ontology DEVSMO was built and the DEVS model could be described as the instance of the DEVSMO. This form of DEVS model was independent of the DEVS simulation environment, which improved the model reusability. A tool was developed to translate the DEVSMO instance to DEVS executable models to verify the …

Semantic Knowledge Base Constructed From Chinese Online Encyclopedia, Liu Jian, Hongbo Xu, Huifeng Tang, Yantao Jia, Xueqi Cheng

Journal of System Simulation

Abstract: The traditional construction methods about semantic knowledge base cost a lot of manpower and material resources. In addition, knowledge is difficult to acquire timely updates. In view of the deficiency, a new semantic representation model was put forward based on semantic ontology and hypergraph theory which was named dynamic knowledge network. Then, this model was described in detail, which included theoretical basis and model elements. Under the guidance of the model, the extraction methods and storage structure were studied about semantic knowledge. A Chinese semantic knowledge base was semi-automatic constructed using Chinese 360 Encyclopedia data which could efficiently provide …

Research On Ontology-Meta Modeling Method For Equipments Sos (System Of System) Combat Simulation, Zhang Shen, Haohua Xu, Jingye Wang

Journal of System Simulation

Abstract: Aiming at the strict standard and difficulties of equipments SOS combat simulation modeling, an ontology-meta modeling method was put forward. Based on the analysis of equipments SOS combat, the basic notional units were abstracted: function unit, combat organize, combat maneuver, combat event, and combat environment, and the units mapping into UOPEE (unit, organization, proceeding, event and environment) which was a maturity and combined models collect, then constituted the descriptive UOPEE architecture with the UML method, obtaining the cyber-model architecture based on component designing and realizing method. This method makes the equipments SOS combat model easy to mapping and integration …

Research And Application Of Cloud Manufacturing Service Platform For Crane, Yang Chen, Zhongjie Wang, Zhaohui Liu, Nana Yu

Journal of System Simulation

Abstract: Based on the research fruits of cloud manufacturing, the cloud manufacturing platform for crane was focused on. Based on the connotation analysis of the crane manufacturing, the key technologies of manufacturing resource access and cloud service modeling were discussed. A multi-level dynamic matching model and a comprehensive matching algorithm were proposed. The construction and testing of the cloud manufacturing platform was carried out, and the future works were given.

Business Process Modeling Algorithm Based On Ontology Language, Huang Ying, Kangshun Li, Li Wei, Keqing He

Journal of System Simulation

Abstract: In the view of problem in lack of information sharing mechanisms at the semantic level among processes, a business process modeling algorithm based on ontology language using concept hierarchy as background knowledge was proposed. The business process modeling by traditional business process languages can be transferred to ontology language (OWL) description so as to realize the semantic sharing of business process. The approach has two main advantages compared with traditional methods: (1) accelerating the building process, minimizing the conversion cost; (2) background knowledge guides the extraction of knowledge resided in database. As a way of validating the approach, part …

Ontological Boundaries Between Humans And Computers And The Implications For Human-Machine Communication, Andrea L. Guzman

Human-Machine Communication

In human-machine communication, people interact with a communication partner that is of a different ontological nature from themselves. This study examines how people conceptualize ontological differences between humans and computers and the implications of these differences for human-machine communication. Findings based on data from qualitative interviews with 73 U.S. adults regarding disembodied artificial intelligence (AI) technologies (voice-based AI assistants, automated-writing software) show that people differentiate between humans and computers based on origin of being, degree of autonomy, status as tool/tool-user, level of intelligence, emotional capabilities, and inherent flaws. In addition, these ontological boundaries are becoming increasingly blurred as technologies emulate …

An Integrated View Of Data: Application Of Knowledge Modeling To Data Management, Sung-Kwan Kim, Wenjun Wang

Journal of International Technology and Information Management

Data management has become an important challenge. Good data management requires an effective approach to collecting, storing, and accessing data across the enterprise. In this paper, a knowledge modeling approach to data management is introduced with an emphasis on data requirements analysis. A knowledge model can provide a high-level view of organizational data by specifying the structure and relationships of the knowledge contents used in business processes. The proposed knowledge modeling approach is business process oriented and decision oriented. The description of the knowledge contents in the model is based on ontological specification. The model is comprised of five elements: …

Metadata Management For Clinical Data Integration, Ningzhou Zeng

Theses and Dissertations--Computer Science

Clinical data have been continuously collected and growing with the wide adoption of electronic health records (EHR). Clinical data have provided the foundation to facilitate state-of-art researches such as artificial intelligence in medicine. At the same time, it has become a challenge to integrate, access, and explore study-level patient data from large volumes of data from heterogeneous databases. Effective, fine-grained, cross-cohort data exploration, and semantically enabled approaches and systems are needed. To build semantically enabled systems, we need to leverage existing terminology systems and ontologies. Numerous ontologies have been developed recently and they play an important role in semantically enabled …

Personalized Health Knowledge Graph, Amelie Gyrard, Manas Gaur, Saeedeh Shekarpour, Krishnaprasad Thirunarayan, Amit Sheth

Publications

Our current health applications do not adequately take into account contextual and personalized knowledge about patients. In order to design “Personalized Coach for Healthcare” applications to manage chronic diseases, there is a need to create a Personalized Healthcare Knowledge Graph (PHKG) that takes into consideration a patient’s health condition (personalized knowledge) and enriches that with contextualized knowledge from environmental sensors and Web of Data (e.g., symptoms and treatments for diseases). To develop PHKG, aggregating knowledge from various heterogeneous sources such as the Internet of Things (IoT) devices, clinical notes, and Electronic Medical Records (EMRs) is necessary. In this paper, we …

Early Alert Of At-Risk Students: An Ontology-Driven Framework, Elias S. Lopez

Electrical and Computer Engineering ETDs

As higher education continues to adapt to the constantly shifting conditions that society places on institutions, the enigma of student attrition continues to trouble universities. Early alerts for students who are at-risk academically have been introduced as a method for solving student attrition at these institutions. Early alert systems are designed to provide students who are academically at-risk a prompt indication so that they may correct their performance and make progress towards successful semester completion. Many early alert systems have been introduced and implemented at various institutions with varying levels of success. Currently, early alert systems employ different techniques for …

Digital Forensics Event Graph Reconstruction, Daniel J. Schelkoph

Theses and Dissertations

Ontological data representation and data normalization can provide a structured way to correlate digital artifacts. This can reduce the amount of data that a forensics examiner needs to process in order to understand the sequence of events that happened on the system. However, ontology processing suffers from large disk consumption and a high computational cost. This paper presents Property Graph Event Reconstruction (PGER), a novel data normalization and event correlation system that leverages a native graph database to improve the speed of queries common in ontological data. PGER reduces the processing time of event correlation grammars and maintains accuracy over …

Cufa: A More Formal Definition For Digital Forensic Artifacts, Vikram S. Harichandran, Daniel Walnycky, Ibrahim Baggili, Frank Breitinger

Electrical & Computer Engineering and Computer Science Faculty Publications

The term “artifact” currently does not have a formal definition within the domain of cyber/ digital forensics, resulting in a lack of standardized reporting, linguistic understanding between professionals, and efficiency. In this paper we propose a new definition based on a survey we conducted, literature usage, prior definitions of the word itself, and similarities with archival science. This definition includes required fields that all artifacts must have and encompasses the notion of curation. Thus, we propose using a new term e curated forensic artifact (CuFA) e to address items which have been cleared for entry into a CuFA database (one …

Towards A Generic Ontology For Solar Irradiance Forecasting, Abhilash Kantamneni

Dissertations, Master's Theses and Master's Reports

The growth of solar energy resources in recent years has led to increased calls for accurate forecasts of solar irradiance for the reliable and sustainable integration of solar into the national grid. A growing body of academic research has developed models for forecasting solar irradiance, identified metrics for comparing solar forecasts, and described applications and end users of solar forecasts.

In recent years, many disciplines are developing ontologies to facilitate better communication, improve inter-operabiity and refine knowledge reuse by experts and users of the domain. Ontologies are explicit and formal vocabulary of terms and their relationships. This report describes a …

Semantic Models As Knowledge Repositories For Data Modellers In The Financial Industry, Gary Thompson

Dissertations

Data modellers working in the financial industry are expected to use both technical and business knowledge to transform data into the information required to meet regulatory reporting requirements. This dissertation explores the role that semantic models such as ontologies and concept maps can play in the acquisition of financial and regulatory concepts by data modellers. While there is widespread use of semantic models in the financial industry to specify how information is exchanged between IT systems, there is limited use of these models as knowledge repositories. The objective of this research is to evaluate the use of a semantic model …

The Use Of Ontologies In Forensic Analysis Of Smartphone Content, Mohammed Alzaabi, Thomas A. Martin, Kamal Taha, Andy Jones

Journal of Digital Forensics, Security and Law

Digital forensics investigators face a constant challenge in keeping track with evolving technologies such as smartphones. Analyzing the contents of these devices to infer useful information is becoming more time consuming as the volume and complexity of data are increasing. Typically, such analysis is undertaken by a human, which makes it dependent on the experience of the investigator. To overcome such impediments, an automated technique can be utilized in order to aid the investigator to quickly and eciently analyze the data.In this paper, we propose F-DOS; a set of ontologies that models the smartphone content for the purpose of forensic …

Intelligent Text Classification System Based On Self-Administered Ontology, Manoj Manuja, Deepak Garg

Turkish Journal of Electrical Engineering and Computer Sciences

Over the last couple of decades, web classification has gradually transitioned from a syntax- to semantic-centered approach that classifies the text based on domain ontologies. These ontologies are either built manually or populated automatically using machine learning techniques. A prerequisite condition to build such systems is the availability of ontology, which may be either full-fledged domain ontology or a seed ontology that can be enriched automatically. This is a dependency condition for any given semantics-based text classification system. We share the details of a proof of concept of a web classification system that is self-governed in terms of ontology population …

Owl Query Answering Using Machine Learning, Todd Huster

Browse all Theses and Dissertations

The formal semantics of the Web Ontology Language (OWL) enables automated reasoning over OWL knowledge bases, which in turn can be used for a variety of purposes including knowledge base development, querying and management. Automated reasoning is usually done by means of deductive (proof-theoretic) algorithms which are either provably sound and complete or employ approximate methods to trade some correctness for improved efficiency. As has been argued elsewhere, however, reasoning methods for the Semantic Web do not necessarily have to be based on deductive methods, and approximate reasoning using statistical or machine-learning approaches may bring improved speed while maintaining high …

Ontology Pattern-Based Data Integration, Adila Alfa Krisnadhi

Browse all Theses and Dissertations

Data integration is concerned with providing a unified access to data residing at multiple sources. Such a unified access is realized by having a global schema and a set of mappings between the global schema and the local schemas of each data source, which specify how user queries at the global schema can be translated into queries at the local schemas. Data sources are typically developed and maintained independently, and thus, highly heterogeneous. This causes difficulties in integration because of the lack of interoperability in the aspect of architecture, data format, as well as syntax and semantics of the data. …

Synergy Of The Developed 6d Bim Framework And Conception Of The Nd Bim Framework And Nd Bim Process Ontology, Shawn Edward O'Keeffe

Dissertations

The author developed a unified nD framework and process ontology for Building Information Modeling (BIM). The research includes a framework developed for 6D BIM, nD BIM, and nD ontology that defines the domain and sub-domain constructs for future nD BIM dimensions. The nD ontology defines the relationships of kinds within any new proposed dimensional domain for BIM. The developed nD BIM framework and ontology takes into account the current 2D-5D BIM dimensions. There is a synergy between the 6D and nD framework that allows the nD framework and ontology to be utilized as a unified template for future dimensional development. …

Describing Radio Hardware And Software Using Owl For Over-The-Air Software Download, Todor Cooklev, Stanchev, David Clendenen

Todor Cooklev

Recently, several researchers have discovered the need for radios to use description techniques. Previous research describes information such as the current frequency band, waveform, and so on. However, this information is presented at a level that is not sufficient to determine software/hardware compatibility for over-the-air software download. For example, a device should not attempt to download a wideband waveform if its radio front-end is only narrowband, or if its baseband hardware cannot provide the required MIPS for the new waveform. Over-the-air software download is one of the most interesting features of software-defined radios. The compatibility between software and hardware prior …

A Method For Ontology-Based Semantic Relatedness Measurement, Görkem Gi̇ray, Murat Osman Ünalir

Turkish Journal of Electrical Engineering and Computer Sciences

There are many methods having different approaches for assessing similarity and relatedness and they are used in many application areas, including web service discovery, invocation and composition, word sense disambiguation, information retrieval, ontology alignment and merging, document clustering, and short answer grading. These methods can be categorized as path-based, information content-based, feature-based, geometric model-based, and hybrid approaches. These approaches use resources such as concept hierarchy, conceptual graph, and corpus for computing similarity and relatedness. With the rise of the semantic web, ontologies have attracted the attention of several researchers. Ontologies represented in the Web Ontology Language (OWL) are also valuable …

Conceptual Modelling And The Quality Of Ontologies: Endurantism Vs. Perdurantism, Mutaz M. Al-Debei, Mohammad Mourhaf Al Asswad, Sergio De Cesare, Mark Lycett

Dr. Mutaz M. Al-Debei

Ontologies are key enablers for sharing precise and machine-understandable semantics among different applications and parties. Yet, for ontologies to meet these expectations, their quality must be of a good standard. The quality of an ontology is strongly based on the design method employed. This paper addresses the design problems related to the modelling of ontologies, with specific concentration on the issues related to the quality of the conceptualisations produced. The paper aims to demonstrate the impact of the modelling paradigm adopted on the quality of ontological models and, consequently, the potential impact that such a decision can have in relation …

A Study Of Correlations Between The Definition And Application Of The Gene Ontology, Yuji Mo

Computer and Electronics Engineering: Dissertations, Theses, and Student Research

When using the Gene Ontology (GO), nucleotide and amino acid sequences are annotated by terms in a structured and controlled vocabulary organized into relational graphs. The usage of the vocabulary (GO terms) in the annotation of these sequences may diverge from the relations defined in the ontology. We measure the consistency of the use of GO terms by comparing GO's defined structure to the terms' application. To do this, we first use synthetic data with different characteristics to understand how these characteristics influence the correlation values determined by various similarity measures. Using these results as a baseline, we found that …