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Results for «semantic»:


Total: 100 results - 0.066 seconds

Biomedical-Semantic-Similarity 100%

Biomedical Semantic Similarity Evolutionary algorithm based on different semantic similarity functions for synonym recognition in the biomedical domain José M.

https://www.pdf-archive.com/2018/05/28/biomedical-semantic-similarity/

28/05/2018 www.pdf-archive.com

665-1-665-1-10-20150122 98%

1.0) December 2010 P a g e | 23 Semantic Web:

https://www.pdf-archive.com/2018/01/26/665-1-665-1-10-20150122/

26/01/2018 www.pdf-archive.com

semantic-similarity 97%

semantic similarity Annotated Bibliography on Semantic Similarity Jorge Martinez-Gil Software Competence Center Hagenberg GmbH Softwarepark 21, 4232 Hagenberg, Austria jorge.

https://www.pdf-archive.com/2019/01/03/semantic-similarity/

03/01/2019 www.pdf-archive.com

Fuzzy-Aggregation-Semantic-Similarity 96%

Fuzzy Aggregation Semantic Similarity CoTO:

https://www.pdf-archive.com/2018/05/22/fuzzy-aggregation-semantic-similarity/

22/05/2018 www.pdf-archive.com

UOP PSYCH 640 Week 3 DQ 1 96%

UOP PSYCH 640 Week 3 DQ 1 PSYCH 640 Week 3 DQ 1 Check this A+ Guidelines at http://www.assignmentclick.com/PSYCH-640/PSYCH-640Week-3-DQ-1 For more classes visit www.assignmentclick.com PSYCH 640 Week 3 DQ 1 Semantic Memory Discussion Semantic memory is a database of general knowledge that enables individuals to successfully interact with the world around them.

https://www.pdf-archive.com/2016/03/10/uop-psych-640-week-3-dq-1/

10/03/2016 www.pdf-archive.com

PSYCH 640 Week 3 DQ 1 96%

PSYCH 640 Week 3 DQ 1 PSYCH 640 Week 3 DQ 1 Check this A+ Guidelines at http://www.assignmentcloud.com/PSYCH-640/PSYCH-640-Week-3DQ-1 For more classes visit www.assignmentcloud.com PSYCH 640 Week 3 DQ 1 Semantic Memory Discussion Semantic memory is a database of general knowledge that enables individuals to successfully interact with the world around them.

https://www.pdf-archive.com/2016/04/20/psych-640-week-3-dq-1/

20/04/2016 www.pdf-archive.com

PSYCH 640 Week 3 DQ 1 96%

PSYCH 640 Week 3 DQ 1 PSYCH 640 Week 3 DQ 1 Check this A+ Guidelines at http://www.psych640assignment.com/PSYCH-640/PSYCH640-Week-3-DQ-1 For more classes visit www.psych640assignment.com PSYCH 640 Week 3 DQ 1 Semantic Memory Discussion Semantic memory is a database of general knowledge that enables individuals to successfully interact with the world around them.

https://www.pdf-archive.com/2017/03/18/psych-640-week-3-dq-1/

18/03/2017 www.pdf-archive.com

IWAN 95%

The W3C Recommendation for Semantic Annotations in WSDL and XML Schema (SAWSDL) defines an extension that can help to disambiguate the description of Web Services during automatic discovery and composition.

https://www.pdf-archive.com/2017/04/05/iwan/

05/04/2017 www.pdf-archive.com

Texterseo Wolfgang Jagsch 95%

Texterseo Wolfgang Jagsch Google and Semantic Search Engine Optimization (SEO) Semantic Search Engine Optimization is a new frontier for SEO specialists who wish to keep in front of the Google curve in procuring additional search engine positions for their target search phrases.

https://www.pdf-archive.com/2017/11/25/texterseo-wolfgang-jagsch/

25/11/2017 www.pdf-archive.com

kbs 94%

www.elsevier.com/locate/knosys Evolutionary algorithm based on different semantic similarity functions for synonym recognition in the biomedical domain José M.

https://www.pdf-archive.com/2017/08/24/kbs/

24/08/2017 www.pdf-archive.com

IKNOW2014 94%

IKNOW2014 Analysis of word co-occurrence in human literature for supporting semantic correspondence discovery Jorge Martinez-Gil Mario Pichler Software Competence Center Hagenberg Softwarepark 21, 4232 Hagenberg, Austria Software Competence Center Hagenberg Softwarepark 21, 4232 Hagenberg, Austria jorge.martinez-gil@scch.at mario.pichler@scch.at ABSTRACT Semantic similarity measurement aims to determine the likeness between two text expressions that use different lexicographies for representing the same real object or idea.

https://www.pdf-archive.com/2017/07/12/iknow2014/

12/07/2017 www.pdf-archive.com

61-207-3-PB 93%

2289-8603 A Review of Semantic Similarity Measures in Biomedical Domain Using SNOMED-CT Mojtaba Zare a,*, Christina Pahl a, Mehrbakhsh Nilashi a, Naomie Salim a, Othman Ibrahim a a Faculty of Computing, Universiti Technologi Malaysia, Johor, Malaysia * Corresponding author email address:

https://www.pdf-archive.com/2017/02/03/61-207-3-pb/

03/02/2017 www.pdf-archive.com

IJETR011720 93%

This paper attempts to provide a comprehensive review and characterize the problem of the semantic gap that is the key problem of region-based image retrieval and the current attempts in high-level semantic-based image retrieval being made to bridge it.

https://www.pdf-archive.com/2017/12/27/ijetr011720/

27/12/2017 www.pdf-archive.com

Semantic-Similarity-Using-Search-Engines 93%

Semantic Similarity Using Search Engines Smart Combination of Web Measures for Solving Semantic Similarity Problems Jorge Martinez-Gil, Jose F.

https://www.pdf-archive.com/2018/05/22/semantic-similarity-using-search-engines/

22/05/2018 www.pdf-archive.com

Semantic-Similarity-Using-Google 92%

Semantic Similarity Using Google Noname manuscript No.

https://www.pdf-archive.com/2017/10/12/semantic-similarity-using-google/

12/10/2017 www.pdf-archive.com

Validation-Semantic-Correspondences 92%

Validation Semantic Correspondences A Web Mining Tool to Validate Previously Discovered Semantic Correspondences.

https://www.pdf-archive.com/2018/05/28/validation-semantic-correspondences/

28/05/2018 www.pdf-archive.com

3336c073 92%

Then, the aspect weaving and semantic impact of weaving is defined in section 3 and section 4 separately.

https://www.pdf-archive.com/2011/08/13/3336c073/

13/08/2011 www.pdf-archive.com

Semantic-Similarity-Human-Literature 90%

Semantic Similarity Human Literature Looking for the Best Historical Window for Assessing Semantic Similarity Using Human Literature Jorge Martinez-Gil Mario Pichler Lorena Paoletti Software Competence Center Hagenberg Softwarepark 21 4232, Austria Software Competence Center Hagenberg Softwarepark 21 4232, Austria Software Competence Center Hagenberg Softwarepark 21 4232, Austria jorge.martinezgil@scch.at mario.pichler@scch.at ABSTRACT We describe the way to get benefit from broad cultural trends through the quantitative analysis of a vast digital book collection representing the digested history of humanity.

https://www.pdf-archive.com/2018/05/22/semantic-similarity-human-literature/

22/05/2018 www.pdf-archive.com

Biomedical-Fuzzy-Logics 90%

Biomedical Fuzzy Logics Talk on “Accurate semantic similarity measurement of biomedical nomenclature by means of fuzzy logic” Jorge Martinez-Gil Software Competence Center Hagenberg GmbH Softwarepark 21, 4232 Hagenberg, Austria jorge.martinez-gil@scch.at http://www.scch.at Abstract.

https://www.pdf-archive.com/2017/10/12/biomedical-fuzzy-logics/

12/10/2017 www.pdf-archive.com

18Vol62No1 89%

1817-3195 SEMANTIC SCHEMA MATCHING APPROACHES:

https://www.pdf-archive.com/2017/01/23/18vol62no1/

23/01/2017 www.pdf-archive.com

HEALTHINF 2012 111 CR (1) 88%

A multilingual mind semantic dependency networks founded on the knowledge based system of authentic association data has been generated by Gephi dynamic graphs.

https://www.pdf-archive.com/2013/03/02/healthinf-2012-111-cr-1/

02/03/2013 www.pdf-archive.com

JournalComputerScienceTechnology 88%

A web mining tool to validate previously discovered semantic correspondences.

https://www.pdf-archive.com/2017/08/19/journalcomputersciencetechnology/

19/08/2017 www.pdf-archive.com

oir 88%

oir The current issue and full text archive of this journal is available at www.emeraldinsight.com/1468-4527.htm OIR 36,5 Smart combination of web measures for solving semantic similarity problems 724 Jorge Martinez-Gil and Jose´ F.

https://www.pdf-archive.com/2017/08/24/oir/

24/08/2017 www.pdf-archive.com

gandhi-2017-ijca-913726 86%

gandhi 2017 ijca 913726 International Journal of Computer Applications (0975 – 8887) Volume 163 – No 10, April 2017 Novel approach to Case Based Reasoning System by aggregating Semantic Similarity Measures using Fuzzy Aggregation for Case Retrieval Riya A.

https://www.pdf-archive.com/2017/06/30/gandhi-2017-ijca-913726/

30/06/2017 www.pdf-archive.com

04 86%

Due to the high heterogeneity of ontologies, a combination of many methods is necessary to discover correctly the semantic correspondences between their elements.

https://www.pdf-archive.com/2017/06/29/04/

29/06/2017 www.pdf-archive.com