Mining the Web to Suggest Concepts during Concep Mapping Export

@article{citeulike:3207995, abstract = {The most challenging aspect of constructing a concept map is not coming up with the list of concepts to include, but linking the concepts into meaningful propositions creating a coherent structure that reflects the learner's understanding of a domain. We present an algorithm that, during the process of concept mapping, takes the partially constructed map as input to mine the web, and presents to the user a list of suggested concepts that are relevant to the map under construction. Testing a preliminary implementation of the algorithm with a set of users during a concept-mapping workshop seems to validate its viability. Depending on the size of the suggestion list, the algorithm presented on average between 47\% and 69\% of the concepts in the final maps before the users added them to the map, showing that the algorithm is able to retrieve concepts relevant to the concept mapping effort}, author = {Alberto and Carvalho, Marco and Arguedas, Marco}, booktitle = {XIII Simp\'{o}sio Brasileiro de Inform\'{a}tica na Educa\c{c}\~{a}o - SBIE - UNISINOS 2002}, citeulike-article-id = {3207995}, citeulike-linkout-0 = {http://www.ihmc.us/users/acanas/Publications/ConceptSuggester/ConceptSuggesterSBIE2002.htm}, keywords = {conceptual-graphs, generation, mining, ontology}, posted-at = {2008-09-09 06:40:39}, priority = {2}, title = {Mining the Web to Suggest Concepts during Concep Mapping}, url = {http://www.ihmc.us/users/acanas/Publications/ConceptSuggester/ConceptSuggesterSBIE2002.htm}, year = {2002} }

TY - JOUR ID - citeulike:3207995 L3 - citeulike-article-id:3207995 N2 - The most challenging aspect of constructing a concept map is not coming up with the list of concepts to include, but linking the concepts into meaningful propositions creating a coherent structure that reflects the learner’s understanding of a domain. We present an algorithm that, during the process of concept mapping, takes the partially constructed map as input to mine the web, and presents to the user a list of suggested concepts that are relevant to the map under construction. Testing a preliminary implementation of the algorithm with a set of users during a concept-mapping workshop seems to validate its viability. Depending on the size of the suggestion list, the algorithm presented on average between 47% and 69% of the concepts in the final maps before the users added them to the map, showing that the algorithm is able to retrieve concepts relevant to the concept mapping effort TI - Mining the Web to Suggest Concepts during Concep Mapping T2 - XIII Simpósio Brasileiro de Informática na Educação - SBIE - UNISINOS 2002 KW - conceptual-graphs KW - generation KW - mining KW - ontology AU - Alberto AU - Carvalho, Marco AU - Arguedas, Marco PY - 2002/// UR - http://www.ihmc.us/users/acanas/Publications/ConceptSuggester/ConceptSuggesterSBIE2002.htm ER -