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gandhi-2017-ijca-913726 100%
In CBR systems, we assume that the similar problems have similar solutions.
https://www.pdf-archive.com/2017/06/30/gandhi-2017-ijca-913726/
30/06/2017 www.pdf-archive.com
Fuzzy-Aggregation-Semantic-Similarity 99%
For example, it is possible to automatically identify that specific terms (e.g., Finance) yields matches on similar terms (e.g., Economics, Economic Affairs, Financial Affairs, etc.) or an expert on the treatment of cancer could also be considered as an expert on oncology or tumor treatment.
https://www.pdf-archive.com/2018/03/14/fuzzy-aggregation-semantic-similarity/
14/03/2018 www.pdf-archive.com
Fuzzy-Aggregation-Semantic-Similarity 99%
For example, it is possible to automatically identify that specific terms (e.g., Finance) yields matches on similar terms (e.g., Economics, Economic Affairs, Financial Affairs, etc.) or an expert on the treatment of cancer could also be considered as an expert on oncology or tumor treatment.
https://www.pdf-archive.com/2018/05/22/fuzzy-aggregation-semantic-similarity/
22/05/2018 www.pdf-archive.com
IKNOW2014 99%
For example, automobile and car are similar because both are means of transport.
https://www.pdf-archive.com/2017/07/12/iknow2014/
12/07/2017 www.pdf-archive.com
Word-Co-Occurrence-Literature 99%
For example, automobile and car are similar because both are means of transport.
https://www.pdf-archive.com/2018/05/28/word-co-occurrence-literature/
28/05/2018 www.pdf-archive.com
Biomedical-Semantic-Similarity 99%
Feature based Measures which measure the similarity between terms as a function of their properties or based on their relationships to other similar terms in a dictionary.
https://www.pdf-archive.com/2018/03/14/biomedical-semantic-similarity/
14/03/2018 www.pdf-archive.com
Biomedical-Semantic-Similarity 99%
Feature based Measures which measure the similarity between terms as a function of their properties or based on their relationships to other similar terms in a dictionary.
https://www.pdf-archive.com/2018/05/07/biomedical-semantic-similarity/
07/05/2018 www.pdf-archive.com
semantic-similarity 98%
at An overview of textual semantic similarity measures based on web intelligence Computing the semantic similarity between terms (or short text expressions) that have the same meaning but which are not lexicographically similar is a key challenge in many computer related fields.
https://www.pdf-archive.com/2019/01/03/semantic-similarity/
03/01/2019 www.pdf-archive.com
Refinement Espace LastraGarcia 98%
https://www.pdf-archive.com/2017/08/04/refinement-espace-lastragarcia/
04/08/2017 www.pdf-archive.com
Gas grill Ratings20150523011806 98%
Model Price Ratings and Test Results Midsize gas grills (room for 18 to 28 burgers) Gas grills Gas grill Ratings This chart includes ratings for similar and tested models.
https://www.pdf-archive.com/2015/05/23/gas-grill-ratings20150523011806/
23/05/2015 www.pdf-archive.com
Semantic-Similarity-Web-Intelligence 98%
date Abstract Computing the textual similarity between terms (or short text expressions) that have the same meaning but which are not lexicographically similar is a key challenge in many computer related fields.
https://www.pdf-archive.com/2017/10/12/semantic-similarity-web-intelligence/
12/10/2017 www.pdf-archive.com
Semantic-Similarity-Web-Intelligence 98%
date Abstract Computing the textual similarity between terms (or short text expressions) that have the same meaning but which are not lexicographically similar is a key challenge in many computer related fields.
https://www.pdf-archive.com/2018/05/22/semantic-similarity-web-intelligence/
22/05/2018 www.pdf-archive.com
aire 98%
2012 Abstract Computing the semantic similarity between terms (or short text expressions) that have the same meaning but which are not lexicographically similar is a key challenge in many computer related fields.
https://www.pdf-archive.com/2017/08/04/aire/
04/08/2017 www.pdf-archive.com
Semantic-Similarity-Using-Google 98%
date Abstract Computing the similarity between terms (or short text expressions) that have the same meaning but which are not lexicographically similar is a key challenge in the information integration field.
https://www.pdf-archive.com/2017/10/12/semantic-similarity-using-google/
12/10/2017 www.pdf-archive.com
Semantic-Similarity-Using-Google 98%
date Abstract Computing the similarity between terms (or short text expressions) that have the same meaning but which are not lexicographically similar is a key challenge in the information integration field.
https://www.pdf-archive.com/2018/05/22/semantic-similarity-using-google/
22/05/2018 www.pdf-archive.com
OTM 97%
1 shows, where tags with similar means have been grouped.
https://www.pdf-archive.com/2017/05/14/otm/
14/05/2017 www.pdf-archive.com
Tag-Cloud-Refactoring 97%
1 shows, where tags with similar means have been grouped.
https://www.pdf-archive.com/2018/05/28/tag-cloud-refactoring/
28/05/2018 www.pdf-archive.com
kbs 97%
For example, these methods could be based on the relations between similar terms according to concept descriptions retrieved from dictionaries.
https://www.pdf-archive.com/2017/08/24/kbs/
24/08/2017 www.pdf-archive.com
ResearchPaper 97%
In an earlier work we have proposed deep learning based recommendation algorithm for recovering resolutions for incoming tickets through identification of similar tickets.
https://www.pdf-archive.com/2017/10/11/researchpaper/
11/10/2017 www.pdf-archive.com
KnowledgeAndInformationSystems 96%
String similarity Text similarity is a string based method for identifying similar entity names.
https://www.pdf-archive.com/2017/04/11/knowledgeandinformationsystems/
11/04/2017 www.pdf-archive.com
oir 96%
The idea behind this measure is that keywords with similar meanings from a natural language point of view tend to be close according to the Google distance, while words with dissimilar meanings tend to be farther apart.
https://www.pdf-archive.com/2017/08/24/oir/
24/08/2017 www.pdf-archive.com
V9I5-5 96%
Two to communicate with each other and exchange objects must have similar characteristics to be knowledge, it becomes essential for ontologies to be comparable.
https://www.pdf-archive.com/2018/05/09/v9i5-5/
09/05/2018 www.pdf-archive.com
Ontology-Matching-Heuristic 96%
Text similarity is a string based method for identifying similar entity names.
https://www.pdf-archive.com/2018/03/08/ontology-matching-heuristic/
08/03/2018 www.pdf-archive.com
Ontology-Matching-Heuristic 96%
Text similarity is a string based method for identifying similar entity names.
https://www.pdf-archive.com/2018/05/22/ontology-matching-heuristic/
22/05/2018 www.pdf-archive.com
Semantic-Similarity-Using-Search-Engines 96%
The idea behind this measure is that keywords with similar meanings from a natural language point of view tend to be close according to the Google distance, while words with dissimilar meanings tend to be farther apart.
https://www.pdf-archive.com/2018/05/22/semantic-similarity-using-search-engines/
22/05/2018 www.pdf-archive.com