PDF Archive: PDF Search

SmartAligner QGuide[1] 100%

https://www.pdf-archive.com/2015/02/09/smartaligner-qguide-1/

09/02/2015 www.pdf-archive.com

Ontology-Matching-Genetic-Algorithms 99%

Optimizing Ontology Alignments by Using Genetic Algorithms Jorge Martinez-Gil, Enrique Alba, and Jos´e F.

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

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

Textual-Renderings-Ontologies 96%

This work is about an experiment in which we have compared the textual rendering of ontologies in order to get more accurate alignments between them.

https://www.pdf-archive.com/2018/05/30/textual-renderings-ontologies/

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

Ontology-Matching-Framework 95%

The reason is that obtaining satisfactory ontology alignments is a key aspect for such ﬁelds as:

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

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

Reverse-Ontology-Matching 95%

However, there are still some problem areas to be solved, because experts are still needed to supervise the matching processes and an efficient way to reuse the alignments has not yet been found.

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

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

Photographic Survey Conducted by D.M.Irving 13/5/2015 Greyabbey Bay, Bootown MRD149:012 Stone Alignments Description On File This feature is situated at a distance of over 200m from the shoreline in a relatively flat area of silty sand.

https://www.pdf-archive.com/2015/06/06/149012/

06/06/2015 www.pdf-archive.com

HudsonHughesSANA 94%

As one might expect, the 1 number of alignments increases exponentially with the size of the networks, so checking the score of every possible alignment is impractical.

https://www.pdf-archive.com/2017/10/18/hudsonhughessana/

18/10/2017 www.pdf-archive.com

Validation-Semantic-Correspondences 92%

How to obtain high quality alignments automatically.

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

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

ontology-matching 92%

The second approach is called genetics for ontology alignments and is based on a genetic algorithm which scales better for a large number of atomic matching algorithms in the composite algorithm and is able to optimize the results of the matching process (Martinez-Gil &

https://www.pdf-archive.com/2019/01/03/ontology-matching/

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

Deity List 91%

Deity List Table 5-1:

https://www.pdf-archive.com/2014/09/16/deity-list/

16/09/2014 www.pdf-archive.com

Magnets 91%

Magnets, N-S Magnetic polarity Of ferman:

https://www.pdf-archive.com/2016/10/14/magnets/

14/10/2016 www.pdf-archive.com

00700310[1] 89%

https://www.pdf-archive.com/2014/02/02/00700310-1/

02/02/2014 www.pdf-archive.com

Ontology-Matching-Heuristic 89%

On the other hand, functions for calculating alignments can be divided into similarity measures and distance measures.

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

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

Assembly Instructions for Prototype 87%

https://www.pdf-archive.com/2017/09/05/assembly-instructions-for-prototype/

05/09/2017 www.pdf-archive.com

Existing-OWL-Ontologies 85%

https://www.pdf-archive.com/2018/05/28/existing-owl-ontologies/

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

GP04 84%

https://www.pdf-archive.com/2016/03/21/gp04/

21/03/2016 www.pdf-archive.com

MA1 build guide vers 0.1.2 84%

Step 1:

https://www.pdf-archive.com/2015/03/28/ma1-build-guide-vers-0-1-2/

27/03/2015 www.pdf-archive.com

V9I5-5 83%

(2008) in [2], presented Genetics for Ontology Alignments (GOAL) approach, to compute the optimal ontology alignment functions for a given ontology input set.

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

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