Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "graph grammars" wg kryterium: Wszystkie pola


Wyświetlanie 1-3 z 3
Tytuł:
Inferring graph grammars by detecting overlap in frequent subgraphs
Autorzy:
Kukluk, J. P.
Holder, L. B.
Cook, D. J.
Powiązania:
https://bibliotekanauki.pl/articles/907941.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
indukcja gramatyczna
gramatyka grafowa
pozyskiwanie danych
grammar induction
graph grammars
graph mining
multi-relational data mining
Opis:
In this paper we study the inference of node and edge replacement graph grammars. We search for frequent subgraphs and then check for an overlap among the instances of the subgraphs in the input graph. If the subgraphs overlap by one node, we propose a node replacement graph grammar production. If the subgraphs overlap by two nodes or two nodes and an edge, we propose an edge replacement graph grammar production. We can also infer a hierarchy of productions by compressing portions of a graph described by a production and then inferring new productions on the compressed graph. We validate the approach in experiments where we generate graphs from known grammars and measure how well the approach infers the original grammar from the generated graph. We show graph grammars found in biological molecules, biological networks, and analyze learning curves of the algorithm.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2008, 18, 2; 241-250
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Generative power of reduction-based parsable ETPR(k) graph grammars for syntactic pattern recognition
Autorzy:
Flasiński, M.
Powiązania:
https://bibliotekanauki.pl/articles/385088.pdf
Data publikacji:
2018
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
syntactic pattern recognition
graph grammar
parsing
rozpoznawanie wzoru syntaktycznego
gramatyka grafowa
Opis:
Further results of research into parsable graph grammars used for syntactic pattern recognition (Pattern Recognition: 21, 623-629 (1988); 23, 765-774 (1990); 24, 12-23 (1991); 26, 1-16 (1993); 43, 2249-2264 (2010), Comput. Vision Graph. Image Process. 47, 1-21 (1989), Computer-Aided Design 27, 403-433 (1995), Theoret. Comp. Sci. 201, 189-231 (1998), Pattern Analysis Applications bf 17, 465-480 (2014)) are presented in the paper. The generative power of reduction-based parsable ETPR(k) graph grammars is investigated. The analogy between the triad of CF - LL(k) - LR(k) string languages and the triad of NLC - ETPL(k) - ETPR(k) graph languages is discussed.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 2; 61-81
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automatic bridge between BPMN models and UML activity diagrams based on graph transformation
Autorzy:
Rahmoune, Yasmina
Chaoui, Allaoua
Powiązania:
https://bibliotekanauki.pl/articles/27312904.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
MDE
BPMN
business process models
UML-AD
meta-modeling
graph grammars
models transformation
AToM3
Opis:
Model-driven engineering (MDE) provides the available tools, concepts, and languages for creating and transforming models. One of the most important successes of MDE is model transformation; it permits the transformion of models that are used by one community to equivalent models that can be used by another one. Moreover, each community of developers has its own tools for verification, testing, and test-case generation. Hence, a developer of one community who moves to another community needs a transformation process from the second community to his/her own community and vice versa. Therefore, the target community can benefit from the expertise of the source one, and the developers do not begin from zero. In this context, we propose an automatic transformation in this paper for creating a bridge between the BPMN and UML communities. We propose an approach and a visual tool for the automatic transformation of BPMN models to UML activity diagrams (UML-AD). The proposed approach is based on meta-modeling and graph transformation and uses the AToM3 tool. Indeed, we were inspired by the OMG meta-models of BPMN and UML-AD and implemented versions of both meta-models using AToM3 . This latter one allows for the automatic generation of a visual-modeling tool for each proposed meta-model. Based on these two meta-models, we propose a graph grammar that is composed of 58 rules that perform the transformation process. The proposed approach is illustrated through three case studies.
Źródło:
Computer Science; 2022, 23 (3); 411--445
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies