QEAVis: Quantitative Evaluation of Academic Websites Visibility

The project proposes the application of HLT to an important problem such as the measurement of the academic visibility in the web, giving the basis of a quantitative evaluation of the universities departments’ commitment in the public access to their information. Web indicators (Cybermetrics) must be developed and applied to the study of the academic websites visibility, with special focus on the presence of the Spanish language (of strategic importance) and the academic areas related to humanities (which need special help for their web positioning).

[1]  Julio Gonzalo,et al.  The Impact of Query Refinement in the Web People Search Task , 2009, ACL/IJCNLP.

[2]  Julio Gonzalo,et al.  The role of named entities in Web People Search , 2009, EMNLP.

[3]  Juan Martínez-Romo,et al.  UNED at WebCLEF 2008: Applying High Restrictive Summarization, Low Restrictive Information Retrieval and Multilingual Techniques , 2008, CLEF.

[4]  Isidro F. Aguillo Caño.  Problemas técnicos, metodológicos y documentales en la elaboración de Rankings basados en indicadores Web , 2009 .

[5]  Juan Martínez-Romo,et al.  Retrieving broken web links using an approach based on contextual information , 2009, HT '09.

[6]  Isidro F. Aguillo,et al.  Género y visibilidad Web de la actividad de profesores universitarios españoles: el caso de la Universidad Complutense de Madrid , 2009 .

[7]  Anselmo Peñas,et al.  Clasificación de Páginas Web en Dominio Específico , 2008, Proces. del Leng. Natural.

[8]  Arkaitz Zubiaga,et al.  Content-Based Clustering for Tag Cloud Visualization , 2009, 2009 International Conference on Advances in Social Network Analysis and Mining.

[9]  José Luis Ortega,et al.  Mapping world-class universities on the web , 2009, Inf. Process. Manag..

[10]  Lourdes Araujo,et al.  Comparing and Combining Methods for Automatic Query Expansion , 2008, ArXiv.

[11]  Arkaitz Zubiaga,et al.  Comparativa de Aproximaciones a SVM Semisupervisado Multiclase para Clasificación de Páginas Web , 2009, Proces. del Leng. Natural.

[12]  Juan Martínez-Romo,et al.  Recommendation System for Automatic Recovery of Broken Web Links , 2008, IBERAMIA.

[13]  Víctor Fresno-Fernández,et al.  Web Page Clustering Using a Fuzzy Logic Based Representation and Self-Organizing Maps , 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[14]  Julio Gonzalo,et al.  WePS 2 Evaluation Campaign: Overview of the Web People Search Clustering Task , 2009 .

[15]  Isidro F. Aguillo.  Ranking Web of Repositories Metrics, results and a plea for a change , 2009 .

[16]  José Luis Ortega,et al.  How old is the Web? Characterizing the age and the currency of the European scientific Web , 2009, Scientometrics.

[17]  José Luis Ortega,et al.  Comparing university rankings , 2010, Scientometrics.

[18]  Víctor Fresno-Fernández,et al.  Una Representación Basada en Lógica Borrosa para el Clustering de páginas web con Mapas Auto-Organizativos , 2009, Proces. del Leng. Natural.

[19]  Isidro F. Aguillo.  Métrica de repositorios y evaluación de la investigación , 2009 .

[20]  Juan Martínez-Romo,et al.  Detección de Web Spam basada en la Recuperación Automática de Enlaces , 2009, Proces. del Leng. Natural.

[21]  Isidro F. Aguillo.  Measuring the institution's footprint in the web , 2009, Libr. Hi Tech.

[22]  Isidro F. Aguillo,et al.  [Ranking the world's Web of hospitals: status of the hospitals on the World Wide Web]. , 2009, Medicina clinica.

[23]  Hugo Zaragoza,et al.  Exploiting Morphological Query Structure Using Genetic Optimisation , 2008, NLDB.

[24]  Lourdes Araujo,et al.  STOCHASTIC PARSING AND EVOLUTIONARY ALGORITHMS , 2009, Appl. Artif. Intell..

[25]  Juan Martínez-Romo,et al.  Sistema de Recomendación para la Recuperación Automática de Enlaces Web Rotos , 2008, Proces. del Leng. Natural.

[26]  Arkaitz Zubiaga,et al.  Clasificación de Páginas Web con Anotaciones Sociales , 2009, Proces. del Leng. Natural.

[27]  Arkaitz Zubiaga,et al.  Is Unlabeled Data Suitable for Multiclass SVM-based Web Page Classification? , 2009, HLT-NAACL 2009.

[28]  Lourdes Araujo,et al.  Ranking List Dispersion as a Query Performance Predictor , 2009, ICTIR.

[29]  Arkaitz Zubiaga,et al.  Getting the most out of social annotations for web page classification , 2009, DocEng '09.

[30]  M. Felisa Verdejo,et al.  Testing the Reasoning for Question Answering Validation , 2008, J. Log. Comput..

[31]  M. Felisa Verdejo,et al.  Towards an Entity-based Recognition of Textual Entailment , 2008, TAC.