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Using concept maps in digital libraries as a cross-language resource discovery tool

https://doi.org/10.1145/1065385.1065443
0 signed · 13 inferred · view as graph

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0361-476x(92)90055-4openalex-snapshot
Effects of knowledge map characteristics on information processing
inferredcites →https://doi.org/10.1017/cbo9781139173469openalex-snapshot
Learning How to Learn
inferredcites →https://doi.org/10.1038/nature28025openalex-snapshot
Networked Digital Library of Theses and Dissertations
inferredcites →https://doi.org/10.1145/584792.584914openalex-snapshot
Knowledge discovery from texts
inferredcites →https://doi.org/10.4324/9780203021279-13openalex-snapshot
Networked Digital Library of Theses and Dissertations

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.5281/zenodo.1243560openalex-extracted
Concept Maps In Computer-Assisted Knowledge Assessment
inferred← citeshttps://doi.org/10.1007/s40670-025-02556-9openalex-snapshot
The Past, Present, and Future of Concept Mapping Technology in Health Professions Education
inferred← citeshttps://doi.org/10.1109/waina.2012.113openalex-snapshot
Fusion of News Reports Using Surface-Based Methods
inferred← citeshttps://doi.org/10.1109/wiiat.2008.387openalex-snapshot
Concept Map Mining: A Definition and a Framework for Its Evaluation
inferred← citeshttps://doi.org/10.1145/1141753.1141794openalex-snapshot
Concept maps to support oral history search and use
inferred← citeshttps://doi.org/10.19153/cleiej.21.1.7openalex-snapshot
Towards Technological Approaches for Concept Maps Mining from Text
inferred← citeshttps://doi.org/10.26577/jmmcs.2021.v112.i4.08openalex-snapshot
NATURAL LANGUAGE PROCESSING METHODS FOR CONCEPT MAP MINING: THE CASE FOR ENGLISH, KAZAKH AND RUSSIAN TEXTS
inferred← citeshttps://doi.org/10.48550/arxiv.cs/0611113openalex-snapshot
An Anthological Review of Research Utilizing MontyLingua, a Python-Based End-to-End Text Processor
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