A GXL Schema for Story Diagrams

Meng, Chunyan; Wong, Kenny

doi:10.1016/j.entcs.2004.01.006

Cited by 3 publications

(1 citation statement)

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“…Several trials with robots and human interface machines have successfully implemented dialogues with humans by making use of pattern recognition in the conversation (Meng and Wong, 2004;Chen, 2007). Several trials with robots and human interface machines have successfully implemented dialogues with humans by making use of pattern recognition in the conversation (Meng and Wong, 2004;Chen, 2007).…”

Section: Introductionmentioning

confidence: 99%

Story visualization of literary works

Yamada

Murai

2009

J Vis

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With the rapid advance in information technology, the applicability of computers has moved from the scientific field towards simulating human intelligence. We are already familiar with using computers to produce music and art and for language translation. A further use is in understanding traditional man-made products; best exemplified by literary works. In this study, we focus on enabling a computer to visualize the meaning of stories. Four world-famous plays by William Shakespeare have been chosen to demonstrate how the visualization scheme works in grasping the meaning of the stories. The scheme employs primitive keyword detection and ellipsoidal differential equations to create a visual imagery of the story. This methodology ensures uniqueness in the visualization of an individual work. In addition, color palettes obtained from pictures relevant to each story are used to enrich the consistency between the visual sense and the meaning of the story.

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Section: Introductionmentioning

confidence: 99%

Story visualization of literary works

Yamada

Murai

2009

J Vis

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ProMeTA: a taxonomy for program metamodels in program reverse engineering

2018

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To support program comprehension, maintenance, and evolution, metamodels are frequently used during program reverse engineering activities to describe and analyze constituents of a program and their relations. Reverse engineering tools often define their own metamodels according to the intended purposes and features. Although each metamodel has its own advantages, its limitations may be addressed by other metamodels. Existing works have evaluated and compared metamodels and tools, but none have considered all the possible characteristics and limitations to provide a comprehensive guideline for classifying, comparing, reusing, and extending program metamodels. To aid practitioners and researchers in classifying, comparing, reusing, and extending program metamodels and their corresponding reverse engineering tools according to the intended goals, we establish a conceptual framework with definitions of program metamodels and related concepts. We confirmed that any reverse engineering activity can be clearly described as a pattern based on the framework from the viewpoint of program metamodels. Then the framework is used (2018) 23:2323-2358 to provide a comprehensive taxonomy, named Program Metamodel TAxonomy (ProMeTA), which incorporates newly identified characteristics into those stated in previous works, which were identified via a systematic literature review (SLR) on program metamodels, while keeping the orthogonality of the entire taxonomy. Additionally, we validate the taxonomy in terms of its orthogonality and usefulness through the classification of popular metamodels.Empir Software Eng

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