Expertise Assessment: A Quantitative Approach Using Natural Semantic Networks.
Evaluating the knowledge that an individual or group has over a specific domain is an important--yet challenging--task. Natural semantic networks have been used to capture the long-term knowledge of a group of subjects with respect to a particular topic, and allow to assess a group's level of expert...
| Publicado en: | Revista Daena: International Journal of Good Conscience Vol. 9; no. 3; pp. 76 - 86 |
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| Autores principales: | , |
| Formato: | Artículo |
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Spenta University Mexico
dic2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=116281271&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 116281271 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1870557X 77WQ jtl: Revista Daena: International Journal of Good Conscience issn: 1870557X maglogo: N pubinfo: dt: dic2014 vid: 9 iid: 3 pid: 47232 pub: Spenta University Mexico artinfo: ui: 116281271 ppf: 76 ppct: 10 formats: fmt: @attributes: type: P size: 1.3MB tig: atl: Expertise Assessment: A Quantitative Approach Using Natural Semantic Networks. aug: au: Garza, Sara E. Torres Guerrero, Francisco affil: Facultad de Ingeniería Mecánica y Eléctrica, Universidad Autónoma de Nuevo León (UANL), San Nicolás de los Garza, Nuevo León, Mexico su: Semantic networks (Information theory) Bipartite graphs Expertise Conscience Qualitative research sug: subj: Semantic networks (Information theory) Bipartite graphs Expertise Conscience Qualitative research keyword: Experiencia expertise feature vectors grafos bipartitos natural semantic networks redes semánticas naturales vectores de características Experiencia grafos bipartitos redes semánticas naturales vectores de características ab: Evaluating the knowledge that an individual or group has over a specific domain is an important--yet challenging--task. Natural semantic networks have been used to capture the long-term knowledge of a group of subjects with respect to a particular topic, and allow to assess a group's level of expertise by comparing its network against a network collected from experts. While approaches for making this comparison usually rely on a qualitative appreciation, our approach is quantitative, since it provides a degree of similarity between pairs of networks by means of graph theory and information retrieval. We show the feasibility of this approach by comparing a set of networks from different topics; for each pair, one of the networks belongs to a group of students (unknown expertise) and the other belongs to a group of teachers. Una tarea relevante, aunque también retadora, es poder evaluar el conocimiento que un individuo o grupo posee sobre un dominio específico. Las redes semánticas naturales han sido creadas para capturar el conocimiento de largo plazo de un grupo de sujetos con respecto a un tema en particular; estas redes permiten conocer el nivel de experiencia (conocimiento) de un grupo al comparar su red contra un red obtenida de expertos. Mientras que esta comparación normalmente se hace de manera cualitativa, nuestro enfoque es cuantitativo, puesto que calcula un grado de similitud entre pares de redes por medio de la teoría de grafos y la recuperación de información. Mostramos la factibilidad de este enfoque al comparar redes de diferentes temas. Para cada par de redes, una de ellas pertenece a un grupo de estudiantes (experiencia que nos interesa evaluar) y la otra pertenece a un grupo de maestros. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Revista Daena: International Journal of Good Conscience is the property of Spenta University Mexico and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Revista Daena: International Journal of Good Conscience holder: Spenta University Mexico dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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