@article {245,
	title = {Enabling automatic just-in-time evaluation of in-class discussions in on-line collaborative learning practices},
	journal = {Journal of Digital Information Management},
	volume = {8},
	year = {2010},
	note = {Cited By (since 1996):1Export Date: 10 July 2014},
	month = {2010},
	pages = {322 - 329},
	abstract = {Learning by discussion when applied to on-line collaborative learning settings can provide significant benefits for students in education in general. Indeed, the discussion process plays an important social task in collaborative learning practices. Participants can discuss about the activity being performed, collaborate with each other through the exchange of ideas that may arise, propose new resolution mechanisms, justify and refine their own contributions, and as a result, acquire new knowledge. Considering these benefits, current educational organizations incorporate on-line discussions into web-based courses as part of the very rationale of their pedagogical models. However, in-class collaborative assignments are usually greatly participated and contributed, which makes the monitoring and assessment tasks by tutors and moderators time-consuming, tedious and error-prone. Specially hard if not impossible by human tutors is to manually deal with the sequences of hundreds of contributions making up the discussion threads and the relations between these contributions. Consequently, tutoring tasks during on-line discussions usually restrict to offer evaluation results of the contributing effort and quality after the collaborative learning activity takes place and thus neglect the essential issue of constantly considering the process of knowledge building while it is still being performed. In this paper, we propose a multidimensional model based on data analysis from online collaborative discussion interactions that provides a first step towards an automatic evaluation in just-in-time fashion. The context of this study is a real on-line discussion experience that took place at the Open University of Catalonia.},
	keywords = {Automatic evaluation, Collaborative learning, Groupware, Knowledge discovery, Machine learning},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960216812\&partnerID=40\&md5=0f38528ca7e6fa26bdcaf9c0b81206c9},
	author = {Caball{\'e}, S. and Lapedriza, {\`A}. and Masip, D. and Xhafa, F. and Abraham, A.}
}
@article {194,
	title = {Enabling automatic just-in-time evaluation of in-class discussions in on-line collaborative learning practices},
	journal = {Journal of Digital Information Management},
	volume = {7},
	year = {2009},
	note = {Cited By (since 1996):3Export Date: 10 July 2014},
	month = {2009},
	pages = {289 - 296},
	abstract = {Learning by discussion when applied to on-line collaborative learning settings can provide significant benefits for students in education in general. Indeed, the discussion process plays an important social task in collaborative learning practices. Participants can discuss about the activity being performed, collaborate with each other through the exchange of ideas that may arise, propose new resolution mechanisms, justify and refine their own contributions, and as a result, acquire new knowledge. Considering these benefits, current educational organizations incorporate on-line discussions into web-based courses as part of the very rationale of their pedagogical models. However, in-class collaborative assignments are usually greatly participated and contributed, which makes the monitoring and assessment tasks by tutors and moderators time-consuming, tedious and error-prone. Specially hard if not impossible by human tutors is to manually deal with the sequences of hundreds of contributions making up the discussion threads and the relations between these contributions. Consequently, tutoring tasks during on-line discussions usually restrict to offer evaluation results of the contributing effort and quality after the collaborative learning activity takes place and thus neglect the essential issue of constantly considering the process of knowledge building while it is still being performed. In this paper, we propose a multidimensional model based on data analysis from online collaborative discussion interactions that provides a first step towards an automatic evaluation in just-in-time fashion. The context of this study is a real on-line discussion experience that took place at the Open University of Catalonia.},
	keywords = {Automatic evaluation, Collaborative learning, Groupware, Knowledge discovery, Machine learning},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77953238102\&partnerID=40\&md5=6dce6350dd861170e2133b9b2f597627},
	author = {Caball{\'e}, S. and Lapedriza, {\`A}. and Masip, D. and Xhafa, F. and Abraham, A.}
}
@article {35,
	title = {The designing of web services to deliver web documents associated with historical links},
	journal = {Journal of Digital Information Management},
	volume = {4},
	year = {2006},
	note = {Export Date: 10 July 2014},
	month = {2006},
	pages = {11 - 15},
	abstract = {The historical links of a web site include the URLs invalidated due to web site reorganization, document removal, renaming or relocation, or links to document snapshots, which are defined as the document{\textquoteright}s contents as of a specific point in time. Tracking historical links will allow users to use out-of-date URLs, retrieve removed documents and document snapshots. This paper presents a logging and archiving scheme to track a source document{\textquoteright}s history of changes, and designs web services to deliver the source document associated with a historical link.},
	keywords = {Concept mapping, Hyper space, Information extraction, Knowledge discovery, Semantic web, Web knowledge discovery, Web navigation},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33748275472\&partnerID=40\&md5=8f950d21d3b688c9a0c1bb1159d7a54d},
	author = {Chao, D. and Gill, S.}
}
@article {24,
	title = {HyperMap: A system to map the web},
	journal = {Journal of Digital Information Management},
	volume = {4},
	year = {2006},
	note = {Export Date: 10 July 2014},
	month = {2006},
	pages = {4 - 10},
	abstract = {This paper presents the HyperMap system which dynamically structures information on the Web. The system is based on a framework resulting from multidisciplinary research, which is briefly discussed. This paper focuses work done to develop a new generation of computational tools able to support the extraction and the discovery of useful information on the Web, becoming agents of innovation and development.},
	keywords = {Concept mapping, Hyper space, Information extraction, Knowledge discovery, Semantic web, Web knowledge discovery, Web navigation},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33748283744\&partnerID=40\&md5=0ae6894b5de7bbb54ba63e4ce6b1f95c},
	author = {Ralha, C.G. and Ralha, J.C.L.}
}
