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Towards pharmacogenomics knowledge discovery with the semantic web

M. Dumontier, N. Villanueva-Rosales
2009 Briefings in Bioinformatics  
Essential to the delivery of better health care is the use of pharmacogenomics knowledge to answer questions about therapeutic, pharmacological or genetic aspects.  ...  answering using automated reasoning over expressive ontologies.  ...  This article addresses these tasks by focusing on ontology design, population and question answering.  ... 
doi:10.1093/bib/bbn056 pmid:19240125 fatcat:p53mx2t3gbeupmz625c6jyykui

Harmoney: Semantics for FinTech

Stijn Verstichel, Thomas Blommaert, Stijn Coppens, Thomas Van Maele, Wouter Haerick, Femke Ongenae
2020 Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management  
The goal of this research is to manage in a more cost-effective manner (aligned with the needs and competencies of the individual financial investor in terms of products and services) the management of  ...  This is achieved by means of a knowledge-based approach, integrating the available information of the investor (e.g. personal profile in terms of financial knowledge and experience) and for an extendable  ...  ACKNOWLEDGEMENTS This research or part of this research is conducted within the project entitled Harmoney co-funded by VLAIO (Flanders Innovation & Entrepreneurship) and  ... 
doi:10.5220/0010061301410148 dblp:conf/ic3k/VerstichelBCMHO20 fatcat:qyfaafmjr5ea5dvllxy2l3b5bi

A multimodal guide for the augmented campus

Salvatore Sorce, Agnese Augello, Antonella Santangelo, Giovanni Pilato, Antonio Gentile, Alessandro Genco, Salvatore Gaglio
2007 Proceedings of the 35th annual ACM SIGUCCS conference on User services - SIGUCCS '07  
An implemented case study is showed that illustrates service provision in an augmented environment within university campus settings (termed "Augmented Campus").  ...  Lastly, a discussion about user experiences while using trial services within the Augmented Campus is given.  ...  by the Italian "Programma di Rilevante Interesse Nazionale" (PRIN) 2005, contract no. 2005103830_002, entitled: "Artificial Intelligence Techniques for Processing Analysis, Preservation and Retrieval of  ... 
doi:10.1145/1294046.1294123 dblp:conf/siguccs/SorceASPGGG07 fatcat:ljcnfhsbxjdibp36gjgiabzwyy

Knowledge Modelling and Active Learning in Manufacturing [article]

Jože M. Rožanec, Inna Novalija, d Patrik Zajec, Klemen Kenda, Dunja Mladenić
2021 arXiv   pre-print
Ontologies and Knowledge Graphs provide means to model and relate a wide range of concepts, problems, and configurations.  ...  Active learning can be used to identify the most informative data instances for which to obtain users' feedback, reduce friction, and maximize knowledge acquisition.  ...  answering by organizing them in a structured format. [ ] tackles question answering by creating vector embeddings of questions and knowledge graph triples so that the question vectors end up close to  ... 
arXiv:2107.02298v1 fatcat:4iziznjvyfgpdluwadrjgbxv6u

Semantic-Based Model Analysis Towards Enhancing Information Values of Process Mining: Case Study of Learning Process Domain [chapter]

Kingsley Okoye, Abdel-Rahman H. Tawil, Usman Naeem, Syed Islam, Elyes Lamine
2017 Advances in Intelligent Systems and Computing  
The work in this paper corroborates that semantic-based process mining is a useful technique towards improving the information value of derived models from the large volume of event logs about any process  ...  time using process descriptions languages, and linking them to an ontology specifically designed for representing learning processes.  ...  We use running example of the research process to prove how our approach can be used to answer the learning question LQ1 and LQ2.  ... 
doi:10.1007/978-3-319-60618-7_61 fatcat:lnxmdmniyra23faossvf4bo5k4

Multiple Choice Question Generation Utilizing An Ontology

Katherine Stasaski, Marti A. Hearst
2017 Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications  
Ontologies provide a structured representation of concepts and the relationships which connect them.  ...  It also introduces a novel way to generate multiple-choice distractors from the ontology, and compares this to a baseline of using embedding representations of nodes.  ...  Acknowledgments We thank Ann Peterson and the three Upwork science teachers for assessing the results of this analysis, Yiyi Chen for coding support, as well as Jonathan Gillick, David Bamman, Julian Park  ... 
doi:10.18653/v1/w17-5034 dblp:conf/bea/StasaskiH17 fatcat:firqjacmjjcufdcsvauqqmr7ei

Empowering Museum Experiences Applying Gamification Techniques Based on Linked Data and Smart Objects

Alejandro López-Martínez, Álvaro Carrera, Carlos A. Iglesias
2020 Applied Sciences  
These often rely on interactive question-based games. A drawback of such games is that questions must be periodically regenerated, and this is a time-consuming task.  ...  To confront these challenges, this paper proposes a low-maintenance gamified smart object platform that automates the creation of questions by exploiting semantic web technologies.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app10165419 fatcat:m26jisye6fcwbb4sb4sjh42kcm

Conceptual Modeling Foundations for a Web of Knowledge [chapter]

David W. Embley, Stephen W. Liddle, Deryle W. Lonsdale
2011 Handbook of Conceptual Modeling  
The semantic web purports to be a web of knowledge that can answer our questions, help us reason about everyday problems as well as scientific endeavors, and service many of our wants and needs.  ...  Knowledge bundles are conceptual model instances augmented with facilities that provide for both extensional and intensional facts, for linking between knowledge bundles yielding a web of data, and for  ...  In the computational context of a WoK, it can answer the question: "What are the known facts, both given and implied?"  ... 
doi:10.1007/978-3-642-15865-0_15 fatcat:55yzcga2w5b4dm6a3lmdu2usbu

On the Use of Semantic Annotations for Supporting Provenance in Grids [chapter]

Liming Chen, Zhuoan Jiao, Simon J. Cox
2006 Lecture Notes in Computer Science  
A hybrid approach is proposed for the creation and management of augmented provenance in which semantic annotation is used to generate semantic provenance data and the database management system is used  ...  In this paper we analyses the requirements of provenance support and discusses the nature and characteristics of provenance data on the Grid.  ...  We have applied the proposed hybrid approach for augmented provenance in GEODISE to help engineers answer provenance-related questions in the design process.  ... 
doi:10.1007/11823285_38 fatcat:hlmlgpvuwzbrbev566aabemwni

SIA: Semantic Image Annotation Using Ontologies and Image Content Analysis [chapter]

Pyrros Koletsis, Euripides G. M. Petrakis
2010 Lecture Notes in Computer Science  
We introduce SIA, a framework for annotating images automatically using ontologies.  ...  Average Retrieval Rank (AVR) is applied to compute the likelihood of the input image to belong to each one of the ontology classes.  ...  Chatzichristofis of the Dept. of Electrical and Computer Engineering at the Democritus University of Thrace, Greece, for valuable contributions into this work.  ... 
doi:10.1007/978-3-642-13772-3_38 fatcat:f73f4r7qvrgttpr4apfogjmdgu

Course and exercise sequencing using metadata in adaptive hypermedia learning systems

Stephan Fischer
2001 Journal on Educational Resources in Computing  
An evaluation of our system shows the advantages and drawbacks of the automatic course sequencing approach.  ...  In the last few years the (semi-) automatic sequencing of course material has become an important research issue, particularly the standardization of metadata for educational resources.  ...  A large number of fruitful discussions with them has opened the way into this interesting field.  ... 
doi:10.1145/376697.376700 fatcat:hdbe2ki4afdbthflhfe7ssbm2q

Contextual Augmentation of Ontology for Recognizing Sub-events

Setareh Rafatirad, Ramesh Jain
2011 2011 IEEE Fifth International Conference on Semantic Computing  
Since photos are the most ubiquitous and prolific form of user generated content, we focus on the automatic annotation of personal photo collection in this paper.  ...  Currently our approach utilizes the mereological, spatial and temporal properties of modeled-events in R-Ontology. Personal media will then populate R-Ontology.  ...  We will answer to the following questions in this work: • How does operator × A create O r ? • How can O r be employed for partitioning P ?  ... 
doi:10.1109/icsc.2011.104 dblp:conf/semco/RafatiradJ11 fatcat:p2hsltybsjgtdd6usamspqk46e

DOG I : An Annotation System for Images of Dog Breeds [chapter]

Antonios Dimas, Pyrros Koletsis, Euripides G. M. Petrakis
2012 Lecture Notes in Computer Science  
Because general purpose ontologies for all image types are not yet available, we choose the problem of annotating images of dog breeds as a case study and for the evaluation of our methodology.  ...  DOGI (Dog OntoloGy Image annotator) is a complete and fully automated semantic annotation system for images of dog breeds.  ...  To handle issues of domain dependence, diversity of image content and achieve high quality results, automatic image annotation methods need to be geared towards specific image types.  ... 
doi:10.1007/978-3-642-31295-3_48 fatcat:ba43tsichfgm7oew7bc7szoo4i

Controllable Open-ended Question Generation with A New Question Type Ontology [article]

Shuyang Cao, Lu Wang
2021 arXiv   pre-print
We first define a new question type ontology which differentiates the nuanced nature of questions better than widely used question words.  ...  We investigate the less-explored task of generating open-ended questions that are typically answered by multiple sentences.  ...  We thank three anonymous reviewers, area chair, and senior area chairs for their valuable suggestions for improving various aspects of this work.  ... 
arXiv:2107.00152v1 fatcat:54tyfwwrafdfphiee2m5he57xe

Deep Questions without Deep Understanding

Igor Labutov, Sumit Basu, Lucy Vanderwende
2015 Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)  
We do this by decomposing the task into an ontologycrowd-relevance workflow, consisting of first representing the original text in a low-dimensional ontology, then crowdsourcing candidate question templates  ...  We demonstrate the effectiveness of this method on a corpus of articles from Wikipedia alongside human judgments, and find that we can generate relevant deep questions with a precision of over 85% while  ...  The relevance labels were skewed towards the positive (relevant) class with 63% relevant instances.  ... 
doi:10.3115/v1/p15-1086 dblp:conf/acl/LabutovBV15 fatcat:mswf7ifi5ngyfa3xaylhzbxeni
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