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Articles 1 - 14 of 14
Full-Text Articles in Computer Engineering
Personalized Health Knowledge Graph, Amelie Gyrard, Manas Gaur, Saeedeh Shekarpour, Krishnaprasad Thirunarayan, Amit Sheth
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 …
Cufa: A More Formal Definition For Digital Forensic Artifacts, Vikram S. Harichandran, Daniel Walnycky, Ibrahim Baggili, Frank Breitinger
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 …
Semantic Models As Knowledge Repositories For Data Modellers In The Financial Industry, Gary Thompson
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 …
A Study Of Correlations Between The Definition And Application Of The Gene Ontology, Yuji Mo
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 …
Building Effective Ontology For Semantic Web: A Discussion Based On Practical Examples, Tianmu Zhang
Building Effective Ontology For Semantic Web: A Discussion Based On Practical Examples, Tianmu Zhang
School of Information Sciences -- Faculty Publications and Other Works
The study aims to investigate semantic web and create useful ontology as a teaching and educational tool for others interested in learning more about Semantic web. This paper discussed several emerging issues about the semantic web and ontology building. This paper combines ontology implementation examples with research topics to identify current issues and potential solution in both application and theoretical level. It concludes that although semantic web and ontology technology are not mature enough currently, there is a clear tendency for them to be integrated into various applications to exert synergies.
Ontology For Psychophysiological Dysregulation Of Anger/Aggression, Swathi Vasanthapuram
Ontology For Psychophysiological Dysregulation Of Anger/Aggression, Swathi Vasanthapuram
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
The advancement of Information Technology in the last four decades led to the use of computers in medicine. A new area called Medical Informatics has emerged. This area comprises the application of IT to healthcare with the aim of creating tools that help healthcare personnel diagnose and treat patients more accurately and efficiently. IT not only provides tools for storing, integrating, and updating patient information base but also for processing information efficiently. One of such tools is a Clinical Decision Support System. Ontologies are an integral part of clinical decision support systems because they help formalize and integrate domain knowledge. …
C2 Domain Ontology Within Our Lifetime, Leslie Winters, Andreas Tolk
C2 Domain Ontology Within Our Lifetime, Leslie Winters, Andreas Tolk
Computational Modeling & Simulation Engineering Faculty Publications
Agile Command and Control (C2) requires agile information sharing with an increasingly wide variety of military and non-military partners. While current net-centric approaches may improve information sharing within a particular niche of C2, they do not support information sharing across the larger C2 domain. Although not a silver bullet, the development and application of a C2 domain ontology to improve C2 data and service integration appears to be increasingly realistic. In fact, there are several examples of successful ontology applications in domains such as medicine, biology, and engineering, and the new discipline of Applied Ontology is emerging. C2 data, architecture, …
Maximum Entropy In Support Of Semantically Annotated Datasets, Paulo Pinheiro Da Silva, Vladik Kreinovich, Christian Servin
Maximum Entropy In Support Of Semantically Annotated Datasets, Paulo Pinheiro Da Silva, Vladik Kreinovich, Christian Servin
Departmental Technical Reports (CS)
One of the important problems of semantic web is checking whether two datasets describe the same quantity. The existing solution to this problem is to use these datasets' ontologies to deduce that these datasets indeed represent the same quantity. However, even when ontologies seem to confirm the identify of the two corresponding quantities, it is still possible that in reality, we deal with somewhat different quantities. A natural way to check the identity is to compare the numerical values of the measurement results: if they are close (within measurement errors), then most probably we deal with the same quantity, else …
Using Xml Topic Maps To Create A Knowledge Model Of Postgraduate Computer Science Degrees In Ireland For The Purpose Of Marketing Analysis, Catherine Mulwa
Using Xml Topic Maps To Create A Knowledge Model Of Postgraduate Computer Science Degrees In Ireland For The Purpose Of Marketing Analysis, Catherine Mulwa
Dissertations
Marketing intelligence is a future-oriented activity that helps an organization cope in its market. It includes all ways an organization acquires and uses information. It is comprised of all kinds of information on the market and marketing research; the collection and analysis of internal data, competitive analysis; analysis and reverse engineering of competitor’s products; understanding how and where to add value for customers; and the process of synthesizing large amounts of informally gathered information about the industry and business environment. While marketing and marketing intelligence are widely used in business, they are less used in non-business organisations such as academic …
Ontology-Enriched Semantic Space For Video Search, Xiao-Yong Wei, Chong-Wah Ngo
Ontology-Enriched Semantic Space For Video Search, Xiao-Yong Wei, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
Multimedia-based ontology construction and reasoning have recently been recognized as two important issues in video search, particularly for bridging semantic gap. The lack of coincidence between low-level features and user expectation makes concept-based ontology reasoning an attractive midlevel framework for interpreting high-level semantics. In this paper, we propose a novel model, namely ontology-enriched semantic space (OSS), to provide a computable platform for modeling and reasoning concepts in a linear space. OSS enlightens the possibility of answering conceptual questions such as a high coverage of semantic space with minimal set of concepts, and the set of concepts to be developed for …
The Gravity Data Ontology: Laying The Foundation For Workflow-Driven Ontologies, Ann Q. Gates, G. Randy Keller, Flor Salcedo, Paulo Pinheiro Da Silva, Leonardo Salayandia
The Gravity Data Ontology: Laying The Foundation For Workflow-Driven Ontologies, Ann Q. Gates, G. Randy Keller, Flor Salcedo, Paulo Pinheiro Da Silva, Leonardo Salayandia
Departmental Technical Reports (CS)
A workflow-driven ontology is an ontology that encodes discipline-specific knowledge in the form of concepts and relationships and that facilitates the composition of services to create products and derive data. Early work on the development of such an ontology resulted in the construction of a gravity data ontology and the categorization of concepts: "Data," "Method," and "Product." "Data" is further categorized as "Raw Data" and "Derived Data," e.g., reduced data. The relationships that are defined capture inputs to and outputs from methods, e.g., derived data and products are output from methods, as well as other associations that are related to …
Filling The Ontology Space For Coalition Battle Management Language, Charles Turnitsa, Curtis Blais, Andreas Tolk
Filling The Ontology Space For Coalition Battle Management Language, Charles Turnitsa, Curtis Blais, Andreas Tolk
Computational Modeling & Simulation Engineering Faculty Publications
The Coalition Battle Management Language is a language for representing and exchanging plans, orders, and reports across live, constructive and robotic forces in multi-service, multi-national and multi-organizational operations. Standardization efforts in the Simulation Interoperability Standards Organization seek to define this language through three parallel activities: (1) specify a sufficient data model to unambiguously define a set of orders using the Joint Command, Control, and Consultation Information Exchange Data Model (JC3IEDM) as a starting point; (2) develop a formal grammar (lexicon and production rules) to formalize the definition of orders, requests, and reports; (3) develop a formal battle management ontology to …
C2iedm For The Gig: A Tutorial, Andreas Tolk, Charles Turnitsa, Curtis Blais
C2iedm For The Gig: A Tutorial, Andreas Tolk, Charles Turnitsa, Curtis Blais
Computational Modeling & Simulation Engineering Faculty Publications
No abstract provided.
An Ontology Tool For Distributed Information Environments, Kuhanandha Mahalingam, Michael N. Huhns
An Ontology Tool For Distributed Information Environments, Kuhanandha Mahalingam, Michael N. Huhns
Faculty Publications
This paper describes how ontologies can be used for query formulation and semantic reconciliation in large distributed information environments. It presents a tool, written in Java, that can be used to create and browse ontologies, and construct ontology-based queries. The tool incorporates several abstraction mechanisms that enable users to manage large ontologies, which are typical of large information environments. The tool is being applied to an information system for healthcare administrators, which spans hospitals, clinics, and governmental health departments.