{"_id":"2YLTY6pbY8XZmY4Q7","authorIDs":[],"author_short":["Yi, M."],"bibbaseid":"yi-informationorganizationandretrievalusingatopicmapsbasedontologyresultsofataskbasedevaluation-2008","bibdata":{"abstract":"As information becomes richer and more complex, alternative information-organization methods are needed to more effectively and efficiently retrieve information from various systems, including the Web. The objective of this study is to explore how a Topic Maps-based ontology approach affects users' searching performance. Forty participants participated in a task-based evaluation where two dependent variables, recall and search time, were measured. The results of this study indicate that a Topic Maps-based ontology information retrieval (TOIR) system has a significant and positive effect on both recall and search time, compared to a thesaurus-based information retrieval (TIR) system. These results suggest that the inclusion of a Topic Maps-based ontology is a beneficial approach to take when designing information retrieval systems.","author":["Yi, Myongho"],"author_short":["Yi, M."],"bibtex":"@article{ yi_information_2008,\n title = {Information organization and retrieval using a topic maps-based ontology: Results of a task-based evaluation},\n volume = {59},\n url = {http://dx.doi.org/10.1002/asi.20899},\n doi = {10.1002/asi.20899},\n abstract = {As information becomes richer and more complex, alternative information-organization methods are needed to more effectively and efficiently retrieve information from various systems, including the Web. The objective of this study is to explore how a Topic Maps-based ontology approach affects users' searching performance. Forty participants participated in a task-based evaluation where two dependent variables, recall and search time, were measured. The results of this study indicate that a Topic Maps-based ontology information retrieval ({TOIR}) system has a significant and positive effect on both recall and search time, compared to a thesaurus-based information retrieval ({TIR}) system. These results suggest that the inclusion of a Topic Maps-based ontology is a beneficial approach to take when designing information retrieval systems.},\n number = {12},\n journal = {Journal of the American Society for Information Science and Technology},\n author = {Yi, Myongho},\n year = {2008},\n keywords = {information_retrieval, topic_maps},\n pages = {1898--1911}\n}","bibtype":"article","doi":"10.1002/asi.20899","id":"yi_information_2008","journal":"Journal of the American Society for Information Science and Technology","key":"yi_information_2008","keywords":"information_retrieval, topic_maps","number":"12","pages":"1898--1911","title":"Information organization and retrieval using a topic maps-based ontology: Results of a task-based evaluation","type":"article","url":"http://dx.doi.org/10.1002/asi.20899","volume":"59","year":"2008","bibbaseid":"yi-informationorganizationandretrievalusingatopicmapsbasedontologyresultsofataskbasedevaluation-2008","role":"author","urls":{"Paper":"http://dx.doi.org/10.1002/asi.20899"},"keyword":["information_retrieval","topic_maps"],"downloads":0},"bibtype":"article","biburl":"http://bibbase.org/zotero/klaus.lepsky","creationDate":"2014-12-27T16:52:13.387Z","downloads":0,"keywords":["information retrieval","topic maps","information_retrieval","topic_maps"],"search_terms":["information","organization","retrieval","using","topic","maps","based","ontology","results","task","based","evaluation","yi"],"title":"Information organization and retrieval using a topic maps-based ontology: Results of a task-based evaluation","year":2008,"dataSources":["toq45axpbC28psYaM"]}