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Semantics and knowledge organization 100%

CHAPTER 8 Semantics and Knowledge Organization Birger Hjmland Royal School of Library and Information Science, Copenhagen Introduction:The Importance of Semantics for Information Science The aim of this chapter is to demonstrate that semantic issues underlie all research questions within Library and Information Science (LIS, or, as hereafter, 1S)land, in particular, the subfield known as Knowledge Organization (KO).

https://www.pdf-archive.com/2020/04/08/semanticsandknowledgeorganization/

08/04/2020 www.pdf-archive.com

IJETR011720 98%

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

Fuzzy-Aggregation-Semantic-Similarity 98%

A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures Jorge Martinez-Gil, Software Competence Center Hagenberg (Austria) email:

https://www.pdf-archive.com/2018/03/14/fuzzy-aggregation-semantic-similarity/

14/03/2018 www.pdf-archive.com

Fuzzy-Aggregation-Semantic-Similarity 98%

A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures Jorge Martinez-Gil, Software Competence Center Hagenberg (Austria) email:

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

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

Biomedical-Semantic-Similarity 97%

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

https://www.pdf-archive.com/2018/03/14/biomedical-semantic-similarity/

14/03/2018 www.pdf-archive.com

Biomedical-Semantic-Similarity 97%

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

https://www.pdf-archive.com/2018/05/07/biomedical-semantic-similarity/

07/05/2018 www.pdf-archive.com

semantic-similarity 97%

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

Texterseo Wolfgang Jagsch 97%

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

IWAN 97%

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

SAWSDL-Web-Services 97%

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/2018/05/30/sawsdl-web-services/

30/05/2018 www.pdf-archive.com

document 96%

Journal of Computer Science Review Applications of Nature-Inspired Algorithms in Different Aspects of Semantic Web 1 Deepika Chaudhary, 2Jaiteg Singh and 3D.P.

https://www.pdf-archive.com/2018/06/05/document/

05/06/2018 www.pdf-archive.com

18Vol62No1 96%

1817-3195 SEMANTIC SCHEMA MATCHING APPROACHES:

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

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

ThesisHochschildAnalogyCajetansDeNominumAnalogia 96%

These semantic questions, latent in the Aristotelian logical tradition, were brought to the fore by Scotus’s arguments against analogy.

https://www.pdf-archive.com/2011/08/26/thesishochschildanalogycajetansdenominumanalogia/

26/08/2011 www.pdf-archive.com

gandhi-2017-ijca-913726 96%

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

CDUnit5 95%

 Values of these attributes are evaluated by the semantic rules associated with the production rules.

https://www.pdf-archive.com/2015/08/23/cdunit5/

23/08/2015 www.pdf-archive.com

665-1-665-1-10-20150122 95%

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-Using-Google 94%

(will be inserted by the editor) Semantic Similarity Measurement Using Historical Google Search Patterns Jorge Martinez-Gil and Jose F.

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

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

Semantic-Similarity-Using-Google 94%

(will be inserted by the editor) Semantic Similarity Measurement Using Historical Google Search Patterns Jorge Martinez-Gil and Jose F.

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

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

oir 94%

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

3336c073 94%

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

IKNOW2014 94%

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

Word-Co-Occurrence-Literature 94%

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/2018/05/28/word-co-occurrence-literature/

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

aire 93%

Artif Intell Rev (2014) 42:935–943 DOI 10.1007/s10462-012-9349-8 An overview of textual semantic similarity measures based on web intelligence Jorge Martinez-Gil Published online:

https://www.pdf-archive.com/2017/08/04/aire/

04/08/2017 www.pdf-archive.com

paper29 93%

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/2017/07/12/paper29/

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

Semantic-Similarity-Human-Literature 93%

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