Knowledge-based Graph Exploration Analysis

Ismênia Galvao; Eduardo Zambon; Arend Rensink; Lesley Wevers; Mehmet Aksit

doi:10.1007/978-3-642-34176-2_11

Knowledge-based Graph Exploration Analysis

Ismênia Galvao, Eduardo Zambon, Arend Rensink, Lesley Wevers, Mehmet Aksit

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

116 Downloads (Pure)

Abstract

In a context where graph transformation is used to explore a space of possible solutions to a given problem, it is almost always necessary to inspect candidate solutions for relevant properties. This means that there is a need for a flexible mechanism to query not only graphs but also their evolution. In this paper we show how to use Prolog queries to analyse graph exploration. Queries can operate both on the level of individual graphs and on the level of the transformation steps, enabling a very powerful and flexible analysis method. This has been implemented in the graph-based verification tool GROOVE. As an application of this approach, we show how it gives rise to a competitive analysis technique in the domain of feature modelling.

Original language	English
Title of host publication	AGTIVE 2011
Subtitle of host publication	Applications of Graph Transformations with Industrial Relevance
Editors	Andy Schürr, Dániel Varró, Gergely Varró
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	105-120
Number of pages	16
ISBN (Electronic)	978-3-642-34176-2
ISBN (Print)	978-3-642-34175-5
DOIs	https://doi.org/10.1007/978-3-642-34176-2_11
Publication status	Published - Oct 2011
Event	4th International Symposium on Applications of Graph Transformations with Industrial Relevance, AGTIVE 2011 - Budapest, Hungary Duration: 4 Oct 2011 → 7 Oct 2011 Conference number: 4

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	7233
ISSN (Print)	0302-9743

Conference

Conference	4th International Symposium on Applications of Graph Transformations with Industrial Relevance, AGTIVE 2011
Abbreviated title	AGTIVE
Country/Territory	Hungary
City	Budapest
Period	4/10/11 → 7/10/11

Keywords

METIS-285240
IR-79590
Graph Exploration Analysis
EWI-21401
Prolog
Feature Modelling
GROOVE

Access to Document

10.1007/978-3-642-34176-2_11

Galvao2011knowledgeProof, 494 KB

Cite this

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title = "Knowledge-based Graph Exploration Analysis",

abstract = "In a context where graph transformation is used to explore a space of possible solutions to a given problem, it is almost always necessary to inspect candidate solutions for relevant properties. This means that there is a need for a flexible mechanism to query not only graphs but also their evolution. In this paper we show how to use Prolog queries to analyse graph exploration. Queries can operate both on the level of individual graphs and on the level of the transformation steps, enabling a very powerful and flexible analysis method. This has been implemented in the graph-based verification tool GROOVE. As an application of this approach, we show how it gives rise to a competitive analysis technique in the domain of feature modelling.",

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year = "2011",

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booktitle = "AGTIVE 2011",

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note = "4th International Symposium on Applications of Graph Transformations with Industrial Relevance, AGTIVE 2011, AGTIVE ; Conference date: 04-10-2011 Through 07-10-2011",

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Galvao, I, Zambon, E, Rensink, A, Wevers, L & Aksit, M 2011, Knowledge-based Graph Exploration Analysis. in A Schürr, D Varró & G Varró (eds), AGTIVE 2011: Applications of Graph Transformations with Industrial Relevance. Lecture Notes in Computer Science, vol. 7233, Springer, Berlin, Heidelberg, pp. 105-120, 4th International Symposium on Applications of Graph Transformations with Industrial Relevance, AGTIVE 2011, Budapest, Hungary, 4/10/11. https://doi.org/10.1007/978-3-642-34176-2_11

Knowledge-based Graph Exploration Analysis. / Galvao, Ismênia; Zambon, Eduardo; Rensink, Arend; Wevers, Lesley; Aksit, Mehmet.

AGTIVE 2011: Applications of Graph Transformations with Industrial Relevance. ed. / Andy Schürr; Dániel Varró; Gergely Varró. Berlin, Heidelberg : Springer, 2011. p. 105-120 (Lecture Notes in Computer Science; Vol. 7233).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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