Discovering shared interests using graph analysis
Communications of the ACM - Special issue on internetworking
Fab: content-based, collaborative recommendation
Communications of the ACM
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Animated Exploration of Dynamic Graphs with Radial Layout
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Expertise identification using email communications
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Multi-faceted information retrieval system for large scale email archives
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Vizster: Visualizing Online Social Networks
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Computational & Mathematical Organization Theory
Structure in the Enron Email Dataset
Computational & Mathematical Organization Theory
IEEE Transactions on Software Engineering
SmallBlue: People Mining for Expertise Search
IEEE MultiMedia
Learning to link with wikipedia
Proceedings of the 17th ACM conference on Information and knowledge management
SmallBlue: Social Network Analysis for Expertise Search and Collective Intelligence
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Topic and role discovery in social networks with experiments on enron and academic email
Journal of Artificial Intelligence Research
You are who you know: inferring user profiles in online social networks
Proceedings of the third ACM international conference on Web search and data mining
Same places, same things, same people?: mining user similarity on social media
Proceedings of the 2010 ACM conference on Computer supported cooperative work
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
An empirical analysis of engineers' information behaviors
Journal of the American Society for Information Science and Technology
Inferring relevant social networks from interpersonal communication
Proceedings of the 19th international conference on World wide web
Modeling relationship strength in online social networks
Proceedings of the 19th international conference on World wide web
Mining user similarity from semantic trajectories
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks
Semantic enrichment of twitter posts for user profile construction on the social web
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Analyzing user modeling on twitter for personalized news recommendations
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Towards contextual search: social networks, short contexts and multiple personas
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
A personalized graph-based document ranking model using a semantic user profile
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Enterprise Wisdom Captured Socially
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
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Nowadays communication exchanges are an integral and time consuming part of people's job, especially for the so called knowledge workers. Contents discussed during meetings, instant messaging exchanges, email exchanges therefore constitute a potential source of knowledge within an organisation, which is only shared with those immediately involved in the particular communication act. This poses a knowledge management issue, as this kind of contents become "buried knowledge". This work uses semantic technologies to extract buried knowledge, enabling expertise finding and topic trends spotting. Specifically we claim it is possible to automatically model people's expertise by monitoring informal communication exchanges (email) and semantically annotating their content to derive dynamic user profiles. Profiles are then used to calculate similarity between people and plot semantic knowledge-based networks. The major contribution and novelty of this work is the exploitation of semantic concepts captured from informal content to build a semantic network which reflects people expertise rather than capturing social interactions. We validate the approach using contents from a research group internal mailing list, using email exchanges within the group collected over a ten months period.