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Ontology Database: A New Method for Semantic Modeling and an Application to Brainwave Data [chapter]

Paea LePendu, Dejing Dou, Gwen A. Frishkoff, Jiawei Rong
Lecture Notes in Computer Science  
We propose an automatic method for modeling a relational database that uses SQL triggers and foreign-keys to efficiently answer positive semantic queries about ground instances for a Semantic Web ontology  ...  We applied our methodology to the study of brain electroencephalographic (EEG and ERP) data.  ...  Pan and Zena M. Ariola for valuable discussions on theoretical aspects of this work.  ... 
doi:10.1007/978-3-540-69497-7_21 fatcat:zgklhqct6jdihojwl5wdxc4bfa

Using ontology databases for scalable query answering, inconsistency detection, and data integration

Paea LePendu, Dejing Dou
2010 Journal of Intelligent Information Systems  
An ontology database is a basic relational database management system that models an ontology plus its instances.  ...  We have applied our methods to two case studies in biomedicine, using ontologies and data from genetics and neuroscience to illustrate two important applications: first, ontology databases answer ontology-based  ...  We thank Doug Howe and Jiawei Rong for their contributions on our GO and NEMO case studies. We also thank the ZFIN group, Zena M. Ariola and Gwen A. Frishkoff for their feedback on and contributions.  ... 
doi:10.1007/s10844-010-0133-4 pmid:22163378 pmcid:PMC3230227 fatcat:y7bbj5ktgbbwhg66jemta57gim

Development of Neural Electromagnetic Ontologies (NEMO): Ontology-based Tools for Representation and Integration of Event-related Brain Potentials

Gwen Frishkoff, Paea LePendu, Robert Frank, Haishan Liu, Dejing Dou
2009 Nature Precedings  
The ontology is designed following OBO "best practices" and is augmented with tools to perform ontology-based labeling and annotation of ERP data, and a database that enables semantically based reasoning  ...  Our goal is to build an ERP ontology that is logically valid, empirically sound, robust in application, and transparent to users.  ...  Acknowledgements This work is supported by a grant from the National Institutes of Health (NIH), award #1R01EB007684. We thank Maryann Martone, Jessica Turner and Angela Laird for helpful discussions.  ... 
doi:10.1038/npre.2009.3458.1 fatcat:cnsujlvp5rdcjfvnnxrgmwxejy

Development of Neural Electromagnetic Ontologies (NEMO): Ontology-based Tools for Representation and Integration of Event-related Brain Potentials

Gwen Frishkoff, Gwen Frishkoff, Paea LePendu, Robert Frank, Haishan Liu, Dejing Dou
2009 Nature Precedings  
The ontology is designed following OBO "best practices" and is augmented with tools to perform ontology-based labeling and annotation of ERP data, and a database that enables semantically based reasoning  ...  Our goal is to build an ERP ontology that is logically valid, empirically sound, robust in application, and transparent to users.  ...  Acknowledgements This work is supported by a grant from the National Institutes of Health (NIH), award #1R01EB007684. We thank Maryann Martone, Jessica Turner and Angela Laird for helpful discussions.  ... 
doi:10.1038/npre.2009.3458 fatcat:vgeiqt75fnacrm7sgvlwlaoaqu

IMPROVED ONTOLOGY MODEL FOR GATHERING WEB INFORMATION

Sayali Dharmendra Behere .
2016 International Journal of Research in Engineering and Technology  
As a model for knowledge description and formalization, ontologies are widely used to represent user profiles in personalized web information gathering.  ...  In this paper, a personalized ontology model is proposed for knowledge representation and reasoning over user profiles.  ...  Thus, for Fig. 1 : An ontology construction for personalized model a given topic, the OLE provides users with a set of candidates to identify positive and negative subjects.  ... 
doi:10.15623/ijret.2016.0517021 fatcat:ihbuowtk6zfs7hkwaffr6lte7a

Using Ontology-Based Context in the Portuguese-English Translation of Homographs in Textual Dialogues

Diego Moussallem, Ricardo Choren
2015 International Journal of Artificial Intelligence & Applications  
This paper introduces a novel approach to tackle the existing gap on message translations in dialogue systems.  ...  Our approach solves this disambiguation problem by using concepts over existing ontologies.  ...  Nevertheless, even using semantics concepts to get the right candidates the method used of statistical model to get a conclusion.  ... 
doi:10.5121/ijaia.2015.6502 fatcat:omtnhvp7jbfehpwnp2uemrciqa

Personalization in multimedia retrieval: A survey

Yijuan Lu, Nicu Sebe, Ross Hytnen, Qi Tian
2010 Multimedia tools and applications  
This paper will present some current models and techniques being researched to model ontology, preference, context, and presentation and bring them together in a chain of ideas that leads from raw uninformed  ...  data to an actual usable user interface that adapts with user preference and customization.  ...  Smeulders, and the whole FACS consortium for excellent suggestions and discussions.  ... 
doi:10.1007/s11042-010-0621-0 fatcat:lopdnnydibfbtowpl2bicoswye

Brain Performance Analysis based on an Electroencephalogram Headset [article]

Iuliana Marin, Ioana-Andreea Dinescu, Teodora-Coralia Deleanu, Lujain Alshikh Sulaiman, Sarmad Monadel Sabree Al-Gayar, Nicolae Goga
2021 arXiv   pre-print
An electrocephalogram headset is used to trigger the brainwaves, along with a web application which manages the input data which comes from the headset and from the user.  ...  Teachers, professors, students and parents can collaborate and, based on the gathered data, new teaching methods can be adopted in the classroom and at home.  ...  Smartphone applications using biofeedback The study done by Dillon et al. aims to bring a new stressreduction method that not only is engaging but also appeals to the younger generation [19] .  ... 
arXiv:2102.01074v1 fatcat:7ipxmgbi6ngwrjju6mpmehhymm

AGUIA: Agents Guidance for Intelligence Amplification in Goal Oriented Tasks

Ana Cristina, Bicharra Garcia
2010 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing  
AGUIA uses domain ontology and task scripts for handling formal and semiformal knowledge bases, thereby helping to systematically (1) explore the range of alternatives; (2) interpret the problem and the  ...  The objective of this paper is to present the AGUIA model for amplifying human intelligence, based on agent's technology, for task-oriented contexts.  ...  BING [33] is Microsoft's new search engine, which operates on the Semantic Web and is designed especially for indexing and searching for images and videos.  ... 
doi:10.1109/3pgcic.2010.56 dblp:conf/3pgcic/CristinaG10 fatcat:xevdbuvk6jh7xhb5wvxj76g2su

PALOT: Profiling and Authenticating Users Leveraging Internet of Things

Pantaleone Nespoli, Mattia Zago, Alberto Huertas Celdrán, Manuel Gil Pérez, Félix Gómez Mármol, Félix J. García Clemente
2019 Sensors  
To this end, we propose a formal information system model based on ontologies, representing the main source of knowledge of our framework.  ...  Furthermore, to recognize users' behavioral patterns within the IoT ecosystem, we introduced a new module called "confidence manager".  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/s19122832 fatcat:lgbonwqtpzftza7fx7pu53gwyq

Immersive Technology for Human-Centric Cyberphysical Systems in Complex Manufacturing Processes: A Comprehensive Overview of the Global Patent Profile Using Collective Intelligence

Usharani Hareesh Govindarajan, Amy J. C. Trappey, Charles V. Trappey
2018 Complexity  
A total of 179 references from the IEEE and IET databases and 2,672 patents are systematically analyzed to identify current trends.  ...  This research provides a thorough review of the literature, construction of a domain ontology, presentation of patent metatrend statistical analysis, and data mining analysis using a technology function  ...  Acknowledgments This research is partially supported by the Taiwan Ministry of Science and Technology (Grant no. MOST 106-2218-E-007-012 -MY2).  ... 
doi:10.1155/2018/4283634 fatcat:2ciamvh7mjhiphyliaufgkbjzu

"Technologies that through Synergic Development can support the Intelligent Automation of Business Processes"

Vasile Mazilescu, Dunarea de Jos University of Galati, Romania, Adrian Micu, Dunarea de Jos University of Galati, Romania
2019 Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics  
Software systems and better solutions are developed to integrate business logic rules at the application level and to provide efficient work tools for accurate results.  ...  In this world of consumption, much of the technology we introduce into our daily lives is based on AI models and methods.  ...  An ontology defines a common vocabulary for a particular domain, each term being explicitly defined and possessing a semantic processable by the computer.  ... 
doi:10.35219/eai1584040937 fatcat:ktdr3wvmhfcx3exu5stgahqezq

Augmenting Human Intelligence in Goal Oriented Tasks [chapter]

Ana Cristina Bicharra Garcia
2011 Studies in Computational Intelligence  
The objective of this paper is to present the AGUIA model for amplifying human intelligence, utilizing agents technology for task-oriented contexts.  ...  AGUIA uses domain ontology and task scripts for handling formal and semiformal knowledge bases, thereby helping to systematically (1) explore the range of alternatives; (2) interpret the problem and the  ...  I also would like to thank Petrobras, the Brazilian Petroleum Company, for allowing me observe the improvement of its employees' decision making process while using an AGUIA component.  ... 
doi:10.1007/978-3-642-20344-2_11 fatcat:kzxmli42zbdl7krwxcvflrasyy

The State of the Art in Methodologies of Course Recommender Systems—A Review of Recent Research

Deepani B. Guruge, Rajan Kadel, Sharly J. Halder
2021 Data  
This review aims to recognize emerging trends in course RS techniques in recent research literature to deliver insights for researchers for further investigation.  ...  knowledge-based, Data Mining (DM), hybrid, statistical and Conversational RS (CRS).  ...  , for online news article recommendation and components and data flow in a CBRS is described in [55] .  ... 
doi:10.3390/data6020018 fatcat:xoduqac2cjgh5evxelemadc7de

Graph Representation Integrating Signals for Emotion Recognition and Analysis

Teresa Zawadzka, Tomasz Wierciński, Grzegorz Meller, Mateusz Rock, Robert Zwierzycki, Michał R. Wróbel
2021 Sensors  
This paper presents the Graph Representation Integrating Signals for Emotion Recognition and Analysis (GRISERA) framework, which provides a persistent model for storing integrated signals and methods for  ...  Therefore, it is extremely important to provide solutions allowing one to (re)use data from a variety of sources, which usually demands data integration.  ...  This type of signal is especially needed when we have a timestamp signal and want to transform it to an epoch signal or we have an epoch signal and want to create a new epoch signal with a bigger epoch  ... 
doi:10.3390/s21124035 fatcat:52cgb7nw3ncnfmyhocjrpcqpr4
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