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Is ontology alignment like analogy?

Elie Raad, Joerg Evermann
2014 Proceedings of the 29th Annual ACM Symposium on Applied Computing - SAC '14  
Their integration requires ontology alignment, a determination of which concepts in a source ontology are like concepts in a target ontology.  ...  This paper presents a novel approach to this problem by applying analogical reasoning, an area of cognitive science that has seen much recent work, to the ontology alignment problem.  ...  Pessimistically, the performance of LISA might suggest that ontology alignment is not like making analogies.  ... 
doi:10.1145/2554850.2554853 dblp:conf/sac/RaadE14 fatcat:gtpmbzxpovaqxanghq556t44du

Towards analogy-based reasoning in semantic network

Milos Stojkovic, Milan Trifunovic, Dragan Misic, Miodrag Manic
2015 Computer Science and Information Systems  
Determining similarity between association plexuses is performed by recognition of topological analogy between association plexuses.  ...  In this paper an approach in realization of analogy-based reasoning in semantic networks is presented. New semantic model, called Active Semantic Model (ASM), was used.  ...  id III 41017) which is funded by the Ministry of Education, Science and Technological Development of the Republic of Serbia for the period 2011-2014.  ... 
doi:10.2298/csis141103036s fatcat:seyo2fwsyzepna3pwvsbuercsm

Extending TCGA queries to automatically identify analogous genomic data from dbGaP

Erin K. Wagner, Satyajeet Raje, Liz Amos, Jessica Kurata, Abhijit S. Badve, Yingquan Li, Ben Busby
2017 F1000Research  
The Cancer Genome Atlas (TCGA) is a popular resource for individual-level genotype-phenotype cancer related data.  ...  Data sharing is critical to advance genomic research by reducing the demand to collect new data by reusing and combining existing data and by promoting reproducible research.  ...  Acknowledgements We would like to acknowledge Lisa Federer, NIH Library Writing Center, for manuscript editing assistance.  ... 
doi:10.12688/f1000research.9837.1 pmid:28794857 pmcid:PMC5538035 fatcat:zm7rshefingzlm3rmtn7brrliu

Developing an Analytical Framework to Characterize Student Reasoning about Complex Processes

Emily E. Scott, Charles W. Anderson, K. K. Mashood, Rebecca L. Matz, Sonia M. Underwood, Vashti Sawtelle, Hannah Sevian
2018 CBE - Life Sciences Education  
We advocate for incorporating opportunities to reason about real-world phenomena into undergraduate science curricula to provide students with experience integrating scientific concepts to explain real-world  ...  Angie Little for helping with the project.  ...  This approach is consistent with an ontological categorization aligned with the causal mechanistic frame.  ... 
doi:10.1187/cbe.17-10-0225 pmid:30183566 pmcid:PMC6234831 fatcat:ruo2gkdwevb7lmxjqc7r2y6xni

Towards a Modular Ontology for Space Weather Research [article]

Cogan Shimizu, Ryan McGranaghan, Aaron Eberhart, Adam C. Kellerman
2020 arXiv   pre-print
Thus, an important component of studying space weather is the integration and analysis of heterogeneous information.  ...  As such, we have developed a modular ontology to drive the core of the data integration and serve the needs of a highly interdisciplinary community.  ...  The authors acknowledge partial support from the National Science Foundation under Grant Numbers 1936677 and 1937152, as well as thorough discussion with Sean Gordon, Lisa Kerr, and Philip Murphy.  ... 
arXiv:2009.12285v2 fatcat:7sfx42pzmvcpnc5og5hblzsyvu

How to Blend Concepts and Influence People: Computational Models of Conceptual Integration

Tony Veale
2007 Theoria et Historia Scientiarum  
Computational models thus make explicit the knowledge requirements of any given integration, and allow various empirical claims to be reproduced by others.  ...  Broadly speaking, we see three reasons for seeking a computational account of a powerful theory like conceptual integration.  ... 
doi:10.12775/ths.2002.016 fatcat:ybfmmiltxbcxlfbnpbfadtknly

Computation and Blending

2001 Cognitive Linguistics  
-Ages is like A-Long-Time-Ago and Camelot is like A-Galaxy-Far-Far-Away and Magic is like The-Force and King-Arthur is like Luke-Skywalker and Guinnevere is like Princess-Leia and Lancelot is like Han-Solo  ...  If Star-Wars is like The-Dambusters Then A-Galaxy-Far-Far-Away is like Europe and The-Empire is like The-Third-Reich and Darth-Vader is like Himmler and Rebel-Base is like Blightey and A-Long-Time-Ago  ... 
doi:10.1515/cogl.2001.016 fatcat:inikwerouvbuxcrvzt7ao6q2da

The OceanLink project

Tom Narock, Robert Arko, Suzanne Carbotte, Adila Krisnadhi, Pascal Hitzler, Michelle Cheatham, Adam Shepherd, Cynthia Chandler, Lisa Raymond, Peter Wiebe, Timothy Finin
2014 2014 IEEE International Conference on Big Data (Big Data)  
OceanLink is an online platform that addresses scholarly discovery and collaboration in the ocean sciences.  ...  In doing so, we highlight how semantic technologies enable knowledge discovery and integration.  ...  The use of ODPs allows us to reuse the semantics of Event, providing alignment of this notion, without importing additional semantics and entailments as is often the case with overarching upper-level ontologies  ... 
doi:10.1109/bigdata.2014.7004347 dblp:conf/bigdataconf/NarockACKHCSCRWF14 fatcat:wpzdh44fxfexzpi6wpwqcegh3i

A symbolic-connectionist theory of relational inference and generalization

John E. Hummel, Keith J. Holyoak
2003 Psychological review  
The authors present a specific instantiation of their theory in the form of a computer simulation model, Learning and Inference with Schemas and Analogies (LISA).  ...  The authors present a theory of how relational inference and generalization can be accomplished within a cognitive architecture that is psychologically and neurally realistic.  ...  The one exception to date-which also serves as an illustration of the potential power of integrating LISA with specialized computing modules-is the LISA/MAM model, which integrates LISA with specialized  ... 
doi:10.1037/0033-295x.110.2.220 pmid:12747523 fatcat:oaryjw6wsfd2zfdc5thsxm4f5i

Struggling for Another Life: The Ontology of Degrowth

Katharina Richter
2019 Transtext(e)s Transcultures Journal of Global Cultural Studies  
, scientific research is now "validating" knowledge previously considered "traditional" or "indigenous" (and thereby inferior). 106 Scientific research could therefore align with demands for a "Living  ...  (Lisa J.  ...  I make the argument for extending agency and rights to non-human nature, beginning with a shift from the language of "materials" to that of "the living world."  ... 
doi:10.4000/transtexts.1242 fatcat:abgu2edljbhupidr77lxc45v3y

The Case for Case-Based Transfer Learning

Matthew Klenk, David W. Aha, Matt Molineaux
2011 The AI Magazine  
Case-based reasoning (CBR) is a problem-solving process in which a new problem is solved by retrieving a similar situation and reusing its solution.  ...  We close with conclusions and directions for future research applying CBR to transfer learning.  ...  Acknowledgements The authors would like to thank the reviewers for their helpful comments. Matthew Klenk is supported by an NRC Postdoctoral Fellowship. Notes  ... 
doi:10.1609/aimag.v32i1.2331 fatcat:hcxcepesrzdtdgmejriazlprt4

Syntactic principles of heuristic-driven theory projection

Angela Schwering, Ulf Krumnack, Kai-Uwe Kühnberger, Helmar Gust
2009 Cognitive Systems Research  
Analogy making is a central construct in human cognition and plays an important role to explain cognitive abilities.  ...  The paper provides an overview of the syntactic principles of HDTP, explains all phases of analogy making on a formal level, and illustrates these phases with examples.  ...  As HDTP uses a formal logic knowledge representation in the tradition of classical AI, it is suitable for an integration with knowledge bases such as Cyc.  ... 
doi:10.1016/j.cogsys.2008.09.002 fatcat:c3s6rhmxibavzp7taeslvdiaxu

MARRVEL: Integration of Human and Model Organism Genetic Resources to Facilitate Functional Annotation of the Human Genome

Julia Wang, Rami Al-Ouran, Yanhui Hu, Seon-Young Kim, Ying-Wooi Wan, Michael F. Wangler, Shinya Yamamoto, Hsiao-Tuan Chao, Aram Comjean, Stephanie E. Mohr, Norbert Perrimon, Zhandong Liu (+175 others)
2017 American Journal of Human Genetics  
One major challenge encountered with interpreting human genetic variants is the limited understanding of the functional impact of genetic alterations on biological processes.  ...  MARRVEL is a publicly available website that integrates information from six human genetic databases and seven model organism databases.  ...  is likely causative.  ... 
doi:10.1016/j.ajhg.2017.04.010 pmid:28502612 pmcid:PMC5670038 fatcat:oecdac4ezbd47f7v5i6uizzucq

YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia

Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich, Gerhard Weikum
2013 Artificial Intelligence  
In this paper, we present the extraction methodology, the integration of the spatio-temporal dimension, and our knowledge representation SPOTL, an extension of the original SPO-triple model to time and  ...  YAGO2 is built automatically from Wikipedia, GeoNames, and WordNet. It contains 80 million facts about 9.8 million entities. Human evaluation confirmed an accuracy of 95% of the facts in YAGO2.  ...  We would also like to thank the people who helped evaluate the quality of YAGO2 by manual assessment, most notably, Ndapandula Nakashole, Stephan Seufert, Erdal Kuzey, and Anh Tuan Tran.  ... 
doi:10.1016/j.artint.2012.06.001 fatcat:qkjhd5gehjbr5dfmj7gsi7twre

On the use of computer‐assistance to facilitate systematic mapping

Neal R. Haddaway, Max W. Callaghan, Alexandra M. Collins, William F. Lamb, Jan C. Minx, James Thomas, Denny John
2020 Campbell Systematic Reviews  
New technology developments, including machine learning, are likely to provide solutions to the problem of information overload and allow scaling of systematic maps to large and even vast literatures.  ...  article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.  ...  Representativeness is arguably more important than comprehensiveness in systematic maps, since the aim is to identify patterns in gaps and clusters rather than generate precise estimates: as an analogy  ... 
doi:10.1002/cl2.1129 fatcat:o4wpevio5ne75pphyffy2ep3hu
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