Optimization of Web applications by graph transformations

Sonneck, G.; Mueck, Thomas A.

doi:10.1109/aiccsa.2003.1227513

Cited by 1 publication

(4 citation statements)

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“…The last subsection shows how the process graph can be optimized by using graph transformations. A more in depth description of the model and the transformation can be found in [15]. Figure 7 presents an example of a navigational graph, showing the basic structure of a web application.…”

Section: The Graph Based Modelmentioning

confidence: 99%

“…Further optimization possibilities in form of graph productions are described in [15]. Figure 10 shows the result of the optimization of the graph Ë from figure 8.…”

Section: Figure 9 Graph Production Per1 To Per5mentioning

confidence: 99%

“…As in [15] we define: Formally our model represents a labeled graph (over two fixed alphabets ª Î and ª for node and edge labels) which is a tuple…”

Section: The Navigation Graphmentioning

confidence: 99%

“…As in [15] we are using the DPO (double pushout approach) [8] where graph morphism, graph productions, graph grammars, pushout, pushout complements as well as gluing condition are defined. Applying these to our example we define a grammar Ï È (for web application personalization), which is defined as Ï È È Ê ½ È Ê ¾ È Ê ¿ È Ê È Ê Ë , where Ë is the start graph depicted in Figure 8.…”

Section: Optimization Of the Process Graphmentioning

confidence: 99%

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Optimized one-to-one personalization of Web applications using a graph based model

Sonneck

Mueck

Proceedings International Parallel and Distributed Processing Symposium

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Everybody who already experienced loosing his way in today's web applications will agree that navigation support on the one hand and interaction support on the other hand are crucial topics in any but the most trivial web-based applications.Such applications should help end users to fulfill their tasks most efficiently. In this paper we present our approach to achieve optimized one-to-one personalization of web applications, thus, leading to applications which assist end users in the most effective way.Our approach relies on a graph based model describing the navigational structure of hypermedia systems and a fully extensible XML schema description that models the structure of the nodes in the graph. Starting from these components, process graphs can be identified that correspond to specific business tasks the web application can be used for. These process graphs can be optimized by restructuring the nodes using graph transformations.Finally one-to-one personalization of nodes within the optimized process graph can take place by matching user profiles to node descriptions.

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Section: The Graph Based Modelmentioning

confidence: 99%

“…Further optimization possibilities in form of graph productions are described in [15]. Figure 10 shows the result of the optimization of the graph Ë from figure 8.…”

Section: Figure 9 Graph Production Per1 To Per5mentioning

confidence: 99%

“…As in [15] we define: Formally our model represents a labeled graph (over two fixed alphabets ª Î and ª for node and edge labels) which is a tuple…”

Section: The Navigation Graphmentioning

confidence: 99%

Section: Optimization Of the Process Graphmentioning

confidence: 99%

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