Towards a Better Understanding of Context and Context-Awareness
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Topic segmentation: algorithms and applications
Topic segmentation: algorithms and applications
The link prediction problem for social networks
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Advances in domain independent linear text segmentation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
On the performance of ant-based clustering
Design and application of hybrid intelligent systems
Improving information retrieval effectiveness by assigning context to documents
ISICT '04 Proceedings of the 2004 international symposium on Information and communication technologies
A statistical model for domain-independent text segmentation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Mining Social Networks for Targeted Advertising
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 06
A review of ontology based query expansion
Information Processing and Management: an International Journal
ICALT '08 Proceedings of the 2008 Eighth IEEE International Conference on Advanced Learning Technologies
Semantic Information Retrieval for Personalized E-Learning
ICTAI '08 Proceedings of the 2008 20th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Blogs, Wikis, Podcasts, and Other Powerful Web Tools for Classrooms
Blogs, Wikis, Podcasts, and Other Powerful Web Tools for Classrooms
Web Information Retrieval Support Systems: The Future of Web Search
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
A comparison of query and term suggestion features for interactive searching
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A User Motivation Model for Web Search Engine
HIS '09 Proceedings of the 2009 Ninth International Conference on Hybrid Intelligent Systems - Volume 02
Efficient linear text segmentation based on information retrieval techniques
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
An analysis of quantitative aspects in the evaluation of thematic segmentation algorithms
SigDIAL '06 Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue
User position measures in social networks
Proceedings of the 3rd Workshop on Social Network Mining and Analysis
AICI '10 Proceedings of the 2010 International Conference on Artificial Intelligence and Computational Intelligence - Volume 02
Preface to the special issue on data mining for personalised educational systems
User Modeling and User-Adapted Interaction
ICALT '11 Proceedings of the 2011 IEEE 11th International Conference on Advanced Learning Technologies
A Survey of Automatic Query Expansion in Information Retrieval
ACM Computing Surveys (CSUR)
Using proportional transportation distances for measuring document similarity
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Conversation retrieval for microblogging sites
Information Retrieval
Computers in Human Behavior
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The web is nowadays one of the main information sources, and information search is an important area in which many advances have been registered. One approach to improve web search results is to consider contextual information. Usually, information about context has been provided through user logs on previous searches or the monitoring of clicks on first results, but different approaches can be used in specific environments. In a web based learning environment, existing documents and exchanged messages could provide contextual information. So, the main goal of this work is to provide a contextual web search engine based on shared documents and messages posted in a social network used for collaborative learning. Contextual search is provided through query expansion using learning documents (material provided by the teacher) and discussion messages (posts, links and comments that result from the participants' interactions). A prototype was implemented and used in a learning scenario to acquire the context in a learning community. The proposed approach makes the context acquisition faster and more dynamic as it considers an automatic approach over text processing of documents and discussions. In addition, the results of the query engine with and without the contextual information were compared and the proposed approach using contextual information showed improvements in the precision of the results.