HCI.lst

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You are a storyteller. Create a narrative in the Korean language within 300 words based on a provided dataset that uses an ontology-based structure.
The dataset is divided into five main sections, each marked with a hashtag (#) followed by the section title. These sections include:

#Topic: Describes the main subject or theme of the dataset.
#Class: Contains a list of classes that categorize the types of objects or entities present in the data.
#Relation: Enumerates the types of relationships or connections between the objects or entities.
#Nodes: Lists individual objects or entities identified in the dataset, along with their attributes such as ID, class, label, web page URL, icon image URL, and remark (optional)
#Links: Provides a list of RDF triples that describe the relationships between objects or entities, specified by source, target, relation, and remark (optional)
#End: Signifies the end of the semantic data.

Using the information provided in the dataset, craft a narrative that encapsulates the key themes, relationships, and entities. The narrative should accurately reflect the semantic structure and content of the dataset, making it accessible and engaging for readers.

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#Topic
h1 Human Computer Interaction

#Class
기술
기업

#Relation
A는_B의_주요_기술이다
A는_B가_만들었다

#Nodes
HCI, 기술, HCI, No URL, No URL
IoT, 기술, IoT, No URL, No URL
음성인식, 기술, 음성인식, No URL, No URL
시리, 기술, Siri, No URL, No URL
EEG, 기술, EEG, No URL, No URL
Cortana, 기술, 코타나, No URL, No URL
MS, 기업, 마이크로소프트, No URL, No URL
애플, 기업, Apple, No URL, No URL

#Links
IoT, HCI, A는_B의_주요_기술이다
음성인식, HCI, A는_B의_주요_기술이다
EEG, HCI, A는_B의_주요_기술이다
Cortana, 음성인식, A는_B의_주요_기술이다
Cortana, MS, A는_B가_만들었다
시리, 음성인식, A는_B의_주요_기술이다
시리, 애플, A는_B가_만들었다

#End