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Last database update: 25 September at 23:41 - Around 220000 files indexed.

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Results for «matchers»:


Total: 26 results - 0.079 seconds

JIH-MSP-2018-01-008 100%

weights and threshold, for aggregating different ontology entity matchers’ matching results.

https://www.pdf-archive.com/2018/01/08/jih-msp-2018-01-008/

08/01/2018 www.pdf-archive.com

Ontology-Meta-Matching-Survey 98%

All this means that business and scientific communities seek to develop automatic or semiautomatic techniques (known as matching algorithms or simply matchers) to reduce the tedious task of creating and maintaining the alignments manually.

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

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

Ontology-Meta-Matching-Survey 98%

All this means that business and scientific communities seek to develop automatic or semiautomatic techniques (known as matching algorithms or simply matchers) to reduce the tedious task of creating and maintaining the alignments manually.

https://www.pdf-archive.com/2018/05/07/ontology-meta-matching-survey/

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

martinezgil2012 97%

All this means that business and scientific communities seek to develop automatic or semi-automatic techniques (known as matching algorithms or simply matchers) to reduce the tedious task of creating and maintaining the alignments manually.

https://www.pdf-archive.com/2017/04/06/martinezgil2012/

06/04/2017 www.pdf-archive.com

04 93%

An ontology matching system can be seen as a collection of several matching components, which implements a specific method dealing with a specific heterogeneity type like the terminological, structural and semantic matchers.

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

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

Ontology-Matching-Heuristic 89%

As we commented earlier, the heterogeneity and ambiguity of data description makes it unavoidable that optimal mappings for many pairs of entities will be considered as ”best mappings” by none of the existing ontology matching algorithms which are usually called matchers.

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

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

Ontology-Matching-Heuristic 89%

As we commented earlier, the heterogeneity and ambiguity of data description makes it unavoidable that optimal mappings for many pairs of entities will be considered as ”best mappings” by none of the existing ontology matching algorithms which are usually called matchers.

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

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

KnowledgeAndInformationSystems 87%

As we commented earlier, the heterogeneity and ambiguity of data description makes it unavoidable that optimal mappings for many pairs of entities will be considered as “best mappings” by none of the existing ontology matching algorithms which are usually called matchers.

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

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

18Vol62No1 86%

Individual matchers:

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

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

JournalUniversalComputerScience 77%

Most authors tend to categorize simple matchers in three groups defined by [Rahm and Bernstein, 2001]:

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

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

Ontology-Matching-Framework 77%

Most authors tend to categorize simple matchers in three groups defined by [Rahm and Bernstein, 2001]:

https://www.pdf-archive.com/2018/05/07/ontology-matching-framework/

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

goal 72%

To do it, it is neccesary to use composite ontology matchers.

https://www.pdf-archive.com/2017/08/23/goal/

23/08/2017 www.pdf-archive.com

Ontology-Matching-Genetic-Algorithms 72%

To do it, it is neccesary to use composite ontology matchers.

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

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

IJETR2087 59%

The scores obtained from different matchers are not homogeneous, score normalization technique is followed to map the scores obtained from different matchers on to a same range.

https://www.pdf-archive.com/2017/12/24/ijetr2087/

24/12/2017 www.pdf-archive.com

How to Leverage the Mobile App for Scalability 56%

In this book, Adam described that how Givers, Takers, and Matchers operate in this world.

https://www.pdf-archive.com/2017/06/15/how-to-leverage-the-mobile-app-for-scalability/

15/06/2017 www.pdf-archive.com

OtmaneElrhaziPatterns 34%

Additionally, it should not be overlooked that neural recognizers can and have been used in combination with other types of recognition engines such as elastic pattern matchers.

https://www.pdf-archive.com/2014/05/18/otmaneelrhazipatterns/

18/05/2014 www.pdf-archive.com

29N19-IJAET0319398 v7 iss1 255-262 31%

International Journal of Advances in Engineering &

https://www.pdf-archive.com/2014/07/04/29n19-ijaet0319398-v7-iss1-255-262/

04/07/2014 www.pdf-archive.com

IJETR2182 29%

International Journal of Engineering and Technical Research (IJETR) ISSN:

https://www.pdf-archive.com/2017/09/09/ijetr2182/

09/09/2017 www.pdf-archive.com

Validation-Semantic-Correspondences 28%

, , As a result, new mechanisms have been developed from customized similarity measures [4, 5] to hybrid ontology matchers [6, 7], meta-matching systems [8, 9] or even soft computing techniques [10, 11].

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

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

SIGMODRecord 25%

firstly, in Ontology Matching there are a limited amount of categories for grouping algorithms with similar behaviors, and secondly, we understand the notion of composite matchers, that it is to say, the idea behind to combine similarity values predicted by multiple algorithms to determine correspondences between ontology elements in order to benefit from the high degree of precision of some algorithms and at the same time the broader coverage of other algorithms [6].

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

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

Reverse-Ontology-Matching 25%

firstly, in Ontology Matching there are a limited amount of categories for grouping algorithms with similar behaviors, and secondly, we understand the notion of composite matchers, that it is to say, the idea behind to combine similarity values predicted by multiple algorithms to determine correspondences between ontology elements in order to benefit from the high degree of precision of some algorithms and at the same time the broader coverage of other algorithms [6].

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

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

JournalComputerScienceTechnology 23%

As a result, new mechanisms have been developed from customized similarity measures[4-5] to hybrid ontology matchers[6-7] , meta-matching systems[8-9] or even soft computing techniques[10-11] .

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

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