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Discovering Bloom Taxonomic Relationships between Knowledge Units Using Semantic Graph Triangularity Mining.

, , , and . CyberC, page 224-233. IEEE, (2016)

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Building Bilingual Algorithm English-Arabic Ontology for Cognitive Applications., , and . ICCC, page 124-127. IEEE Computer Society, (2017)Deepening Prose Comprehension by Incremental Knowledge Augmentation From References, , and . INTELLI 2016, (2016)Mining Cognitive Skills Levels of Knowledge Units in Text Using Graph Tringluarity Mining., , , and . WI Workshops, page 1-4. IEEE Computer Society, (2016)Current Shipment Tracking Technologies and Trends in Research., , , , , and . ICISDM, page 113-117. ACM, (2020)Connecting the Dots in a Concept Space by Iterative Reading of Freetext References with Wordnet., , and . WI-IAT (1), page 441-444. IEEE Computer Society, (2015)Discovery Engine for Finding Hidden Connections in Prose Comprehension from References, , , , and . (2021)Deepening Prose Comprehension by Incremental Free Text Conceptual Graph Mining and Knowledge., , and . CyberC, page 208-215. IEEE, (2016)Discovering Bloom Taxonomic Relationships between Knowledge Units Using Semantic Graph Triangularity Mining., , , and . CyberC, page 224-233. IEEE, (2016)Tweet Sentiment Analytics with Context Sensitive Tone-Word Lexicon., and . WI-IAT (2), page 392-399. IEEE Computer Society, (2014)978-1-4799-4143-8.Semantic Graph Transitivity for Discovering Bloom Taxonomic Relationships between Knowledge Units in a Text, , , and . (2016)