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Last database update: 21 October at 16:28 - Around 210000 files indexed.

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gandhi-2017-ijca-913726 100%

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

Fuzzy-Aggregation-Semantic-Similarity 99%

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 99%

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

IKNOW2014 99%

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 99%

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

Biomedical-Semantic-Similarity 99%

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 99%

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 98%

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

Refinement Espace LastraGarcia 98%

Second gap is the lack of a complete and updated experimental survey including a pairwise statistical signi…cance analysis between most IC models and ontology-based similarity measures.

https://www.pdf-archive.com/2017/08/04/refinement-espace-lastragarcia/

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

Semantic-Similarity-Web-Intelligence 98%

(will be inserted by the editor) An Overview of Textual Semantic Similarity Measures Based on Web Intelligence Jorge Martinez-Gil Received:

https://www.pdf-archive.com/2017/10/12/semantic-similarity-web-intelligence/

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

Semantic-Similarity-Web-Intelligence 98%

(will be inserted by the editor) An Overview of Textual Semantic Similarity Measures Based on Web Intelligence Jorge Martinez-Gil Received:

https://www.pdf-archive.com/2018/05/22/semantic-similarity-web-intelligence/

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

aire 98%

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

Semantic-Similarity-Using-Google 98%

(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 98%

(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

OTM 97%

A Customized Similarity Measure and Its Application for Tag Cloud Refactoring David Urdiales-Nieto, Jorge Martinez-Gil, and Jos´e F.

https://www.pdf-archive.com/2017/05/14/otm/

14/05/2017 www.pdf-archive.com

Tag-Cloud-Refactoring 97%

A Customized Similarity Measure and Its Application for Tag Cloud Refactoring David Urdiales-Nieto, Jorge Martinez-Gil, and Jos´e F.

https://www.pdf-archive.com/2018/05/28/tag-cloud-refactoring/

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

kbs 97%

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

ResearchPaper 97%

Learning Ticket Similarity with Context-sensitive Deep Neural Networks Iheb Ben Abdallah Durga Prasad Muni, Suman Roy, Yeung Tack Yan John John Lew Chiang, Navin Budhiraja Computer Science and Electrical Engineering, Ecole CentraleSupelec Grande Voie des Vignes, Chˆatenay-Malabry Paris, France 92290 Iheb.Benabdallah@supelec.fr Infosys Limited #44 Electronic City, Hosur Road Bangalore, India 560100 {DurgaPrasad Muni,Suman Roy,Yeung Chiang,Navin.

https://www.pdf-archive.com/2017/10/11/researchpaper/

11/10/2017 www.pdf-archive.com

KnowledgeAndInformationSystems 96%

The first one is called maximum similarity measure, which is based on a greedy strategy to compute efficiently the parameters which configure a composite matching algorithm.

https://www.pdf-archive.com/2017/04/11/knowledgeandinformationsystems/

11/04/2017 www.pdf-archive.com

oir 96%

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

V9I5-5 96%

Similarity Measure:Similarity is numeric considering the large size of internet, its users and measure of the degree to which two objects are variety of applications being used;

https://www.pdf-archive.com/2018/05/09/v9i5-5/

09/05/2018 www.pdf-archive.com

Ontology-Matching-Heuristic 96%

Although automatic matching is perhaps the most appropriate way to align ontologies, it has the disadvantage that finding good similarity functions is, data, context, and sometimes even user-dependent, and needs to be reconsidered every time new data or a new task is inspected (Kiefer et al, 2007).

https://www.pdf-archive.com/2018/03/08/ontology-matching-heuristic/

08/03/2018 www.pdf-archive.com

Ontology-Matching-Heuristic 96%

Although automatic matching is perhaps the most appropriate way to align ontologies, it has the disadvantage that finding good similarity functions is, data, context, and sometimes even user-dependent, and needs to be reconsidered every time new data or a new task is inspected (Kiefer et al, 2007).

https://www.pdf-archive.com/2018/05/22/ontology-matching-heuristic/

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

Semantic-Similarity-Using-Search-Engines 96%

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