Following a successful first edition, we are pleased to announce the 2nd edition of the Large Scale Hierarchical Text Classification (LSHTC) Pascal Challenge. The LSHTC Challenge is a hierarchical text classification competition, using large datasets. This year’s challenge will increase the scale and the difficulty of the task, using data from Wikipedia (www.wikipedia.org), in addition to the ODP Web directory data (www.dmoz.org).
The idea of the proposed symposium is to challenge linguists both to re-think the concept of synonymy and sameness, as opposed to the similarity, of linguistic expressions and to approach the concept of synonymy from a broader perspective. We welcome contributions addressing the concept of synonymy from various perspectives and backgrounds (including theoretical, empirical and experimental approaches), ranging from studies of lexical, functional and formal synonymy to studies of synonymy within and across languages
The Web was originally invented with the physics community in mind, but rapidly expanded to include other scientific disciplines, in particular the health care and life sciences. By the mid 1990s the Web was already being used to share data by biomedical professionals and bioinformaticians. The Web continues to be immensely important to these fields, however use cases have expanded considerably. Researchers are now looking to share extremely large data sets on the Web, extract insights from vast numbers of papers cross sub-disciplines, and use social networking tools to identify potential collaborators, aggregate data and engage in scientific discussion. Furthermore, individuals are beginning to store their medical records online, and some are sharing their genetic makeup in a bid to find others with a similar profile. These use cases are pushing the boundaries of what is currently possible with the Web. This workshop will present how scientists are currently using the Web, and discuss the functionality that is required to make the Web an ideal platform for both cutting edge scientific collaboration and for managing health care and life science related data.
The goals of the workshop are to intensify the exchange of ideas between different research communities to enable the design of tools for creation, analysis and visualization of complex information networks. The workshop focuses especially on researchers that are working on methods for representation of complex knowledge resources, (dynamic) data analysis methods, semantic networks, and visualization methods as well as user interface design.
The 1st International Workshop on Mining Social Media will be held will be held in Sevilla, Spain, in November 10-12th; under the frame of the 13th Conference of the Spanish Association for Artificial Intelligence (CAEPIA-TTIA 2009).
D. Benz, B. Krause, G. Kumar, A. Hotho, и G. Stumme. Proceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009), Bled, Slovenia, (сентября 2009)
B. Krause, R. Jäschke, A. Hotho, и G. Stumme. HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia, стр. 157--166. New York, NY, USA, ACM, (2008)