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Semantics-oriented data science and computational life sciences: Innovative application of semantic technologies in microRNA and lncRNA research

2017 IEEE 7th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), 2017
Semantic technologies (based upon domain ontologies) have been widely adopted in various biological, biomedical, and clinical research areas. Consequently, semantics-oriented data science and computational life sciences have increasingly attracted scientists' attention.
Karen Eilbeck   +6 more
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Bio-STEER: A Semantic Web workflow tool for Grid computing in the life sciences

Future Generation Computer Systems, 2007
Life science research is becoming evermore computationally intensive. Hence, from a computational resource perspective, Grid computing provides a logical approach to meeting many of the computational needs of life science research. However, there are several barriers to the widespread use of Grid computing in life sciences. In this paper, we attempt to
Taowei David Wang   +3 more
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LOD-CS2013: Multileaming through a semantic representation of IEEE computer science curricula

2018 IEEE Global Engineering Education Conference (EDUCON), 2018
Ontologies are considered one of the pillars of the Semantic Web. The semantic Web relies heavily on formal ontologies that structure subjacent data and information in machine-readable way for the purpose of that knowledge can be automatically read and processed by machines.
Edmundo Tovar Caro, Nelson Piedra
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Computational comonads and intensional semantics

1992
Abstract We explore some foundational issues in the development of a theory of intensional semantics, in which program denotations may convey information about computation strategy in addition to the usual extensional information. Beginning with an “extensional” category C , whose morphisms we can think of as functions of some kind, we model a ...
S. Geva, S. Brookes
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The semantics of dataflow with firing

2009
Abstract Dataflow models of computation have intrigued computer scientists since the 1970s. They were first introduced by Jack Dennis as a basis for parallel programming languages and architectures, and by Gilles Kahn as a model of concurrency.
Edward A. Lee, Eleftherios Matsikoudis
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Discovering Research Trends in the Computer Science Area of Ecuador: an approach using semantic knowledge bases

2019 XLV Latin American Computing Conference (CLEI), 2019
We present a study of research trends for the area of Computer Sciences in Ecuador in recent years. This analysis was performed through a new method that leverages on semantic web technologies and external knowledge bases (i.e. DBpedia and UNESCO nomenclature) for identifying research topics within articles’ metadata.
Victor Saquicela   +3 more
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Automated assessment of short free-text responses in computer science using latent semantic analysis

Proceedings of the 16th annual joint conference on Innovation and technology in computer science education, 2011
In the last few decades, much research has focused on the evaluation and assessment of students' knowledge. The idea that computers can now be used to aid assessment is appealing. While implementing automatic marking of multiple choice questions is trivial, most educators agree that such form of assessment provides only limited insight into students ...
Angelo Kyrilov   +2 more
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A Semantically Enriched Context-Aware OER Recommendation Strategy and Its Application to a Computer Science OER Repository

IEEE Transactions on Education, 2014
This paper describes a knowledge-based strategy for recommending educational resources—worked problems, exercises, quiz questions, and lecture notes—to learners in the first two courses in the introductory sequence of a computer science major (CS1 and CS2).
Guillermo Jiménez-Díaz   +2 more
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Computational science: a new frontier for computing

2009
Abstract In 2005 Gilles Kahn discussed with Rick Rashid, Stephen Emmott and myself a proposal for Microsoft Research, Cambridge and INRIA to establish a joint research laboratory in France, building on the long-term informal collaboration between the two institutions. The research focus of the joint laboratory was an important point of discussion. In
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Semantic Search Using Computer Science Ontology Based on Edge Counting and N-Grams

2014
Traditional Information Retrieval systems (keyword-based search) suffer several problems. For instance, synonyms or hyponym are not taken into consideration when retrieving documents that are important for a user’s query. This study adopts an ontology of computer science and proposes an ontology indexing weight based on Wu and Palmer’s edge counting ...
Thanyaporn Boonyoung, Anirach Mingkhwan
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