English2MindMap: An Automated System for MindMap Generation from English Text

Elhoseiny, Mohamed; Elgammal, Ahmed

doi:10.1109/ism.2012.103

Cited by 12 publications

(6 citation statements)

References 8 publications

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“…Elhoseiny & Elgammal dalam penelitiannya yang berjudul English2MindMap: an Automated System for MindMap Generation from English Text mencoba membangkitkan mind map dari teks berbahasa inggris menggunakan Detailed Meaning Representation (DMR) dan Multi Level MR Generation (MLMR) [8].…”

Section: Pendahuluanunclassified

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Otomatisasi Pembangkitan Mind Map dari Buku Teks Berbahasa Indonesia Berbasis Analisis Struktur Kalimat

Kusuma

Siahaan

Fatichah

2020

JEPIN

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Mind map adalah sebuah media yang dapat digunakan untuk memvisualisasikan keterkaitan suatu informasi. Adanya visualisasi informasi dapat mempermudah pemahaman terhadap informasi tersebut. Tidak ada aturan khusus dalam pembuatan mind map. Namun butuh proses yang cukup panjang ketika ingin membuat sebuah mind map, mulai dari membaca seluruh informasi, memahami keterkaitan informasi, kemudian memvisualisasikan keterkaitan informasi tersebut. Tentunya hal ini akan menyita banyak waktu. Oleh sebab itu penelitian ini mengusulkan sebuah metode otomatisasi pembangkitan mind map berbasis analisis struktur kalimat. Input dari metode ini berupa teks per bab dan outputnya adalah mind map. Setiap kalimat inputan akan diidentifikasi dan dilabeli dengan tag khusus, kemudian dari tag-tag tersebutlah akan dibentuk mind map secara otomatis dengan aturan khusus yang telah dibuat. Uji coba penelitian ini menggunakan lebih dari 1000 kalimat yang divisualisasikan menjadi sebuah mind map. Kemudian hasil visualisasi tersebut divalidasi kebenaranya oleh ahli di bidang pendidikann yang telah memiliki pengalaman mengajar lebih dari 20 tahun. Hasil pegujian yang telah dilakukan menunjukkan bahwa metode yang diusulkan dapat digunakan untuk membangkitkan mind map secara otomatis.

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Section: Pendahuluanunclassified

“…Penelitian lain terkait mind map yang menggunakan bahasa Inggris dilakukan oleh Elhoseiny & Elgammal [8].…”

Section: Pendahuluanunclassified

Otomatisasi Pembangkitan Mind Map dari Buku Teks Berbahasa Indonesia Berbasis Analisis Struktur Kalimat

Kusuma

Siahaan

Fatichah

2020

JEPIN

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“…Several works [28][29][30][31] have investigated text mining and machine learning approaches for mind-map generation. However, these are fundamentally different from our approach as they focus on completely automated generation of maps.…”

Section: Automated Mind-mappingmentioning

confidence: 99%

Mini-Map: Mixed-Initiative Mind-Mapping via Contextual Query Expansion

Chen

Subramanian

Krishnamurthy

2019

AIAA Scitech 2019 Forum

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We present Mini-Map, a novel web-based workflow for mixed-initiative mind-mapping using query expansions enabled by ConceptNet-a large graph-based representation of "commonsense" knowledge. Mind-maps are now widely recognized as thinking tools for creative tasks such as conceptual design. Nonetheless, creating a mind-map can be challenging especially for beginners either due to low domain knowledge or personal inhibition. Despite extensive knowledge databases on the web, there is currently limited computational support to augment users' ability to fully explore the vast information sources available at their disposal. Our work demonstrates that by using the rich relational ontology offered by ConceptNet, we can faithfully emulate human-like collaborative behavior toward useful exploration of ideas in early design. We present a comparative analysis of human-human collaborative mind-mapping and the Mini-Map workflow.

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“…To the best of our knowledge, there is no existing method to build MindMaps from raw text according to the joint text summarization and visualization concept that we develop in this paper. The goal of this work is to develop a framework that takes a text input and generates a MindMap visualization out of it; a former version was presented in [16]. Our framework is constructed to visualize large text documents in the form of multi-level MindMap, in which a high-level MindMap node could be expanded into a child MindMap.…”

Section: Introductionmentioning

confidence: 99%

Text to multi-level MindMaps

Elhoseiny

Elgammal

2015

Multimed Tools Appl

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MindMapping (Tony Buzan and Harrison, 2010) is a well-known technique for note-taking, which encourages learning and studying. MindMapping has been manually adopted to help present knowledge and concepts in a visual form. Unfortunately, there is no reliable automated approach to generate MindMaps from Natural Language text. This work firstly introduces the MindMap Multi-level Visualization concept that jointly visualize and summarize textual information. The visualization is achieved pictorially across multiple levels using semantic information (i.e. ontology), while the summarization is achieved by the information in the highest levels as they represent abstract information in the text. This work also presents the first automated approach that takes a text input and generates a MindMap visualization out of it. The approach could visualize text documents in multi-level MindMaps, in which a high-level MindMap node could be expanded into child MindMaps. The proposed method involves understanding of the input text and converting it into intermediate Detailed Meaning Representation (DMR). The DMR is then visualized with two modes; Single level or Multiple levels, which is convenient for larger text. The generated MindMaps from both approaches were evaluated based on human subject experiments performed on Amazon Mechanical Turk with various parameter settings. Electronic supplementary materialThe online version of this article (

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English2MindMap: An Automated System for MindMap Generation from English Text

Cited by 12 publications

References 8 publications

Otomatisasi Pembangkitan Mind Map dari Buku Teks Berbahasa Indonesia Berbasis Analisis Struktur Kalimat

Otomatisasi Pembangkitan Mind Map dari Buku Teks Berbahasa Indonesia Berbasis Analisis Struktur Kalimat

Mini-Map: Mixed-Initiative Mind-Mapping via Contextual Query Expansion

Text to multi-level MindMaps

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