CAEP.ca Web site update

Learning to Understand Web Site Update Requests

Although Natural Language Processing (NLP) for requests for information has been well-studied, there has been little prior work on understanding requests to update information. In this paper, we propose an intelligent system that can process natural language website update requests semi-automatically. In particular, this system can analyze requests, posted via email, to update the factual conte...

Web site

Web site Webmasters: Raul Ramos and Rahul Shinde Designer/Contact: Manuel Campanelli [1] Powered by Drupa . Header image Design: Tim Peterson, Manuela Campanelli, Hans-Peter Bischof Main image: Gravitation l wave visualizat on (Hans-Peter Bischof) Background: NGC 5905 and 5908 [3] (St fan Seip ) Small i ages: Albert Einstein [5] Arp 271 [6] (Gemini Observatory , GMOS-South , NSF ) NewHorizons [...

Web Browser Security Update Effectiveness

HMMER web server: 2015 update

The HMMER website, available at http://www.ebi.ac.uk/Tools/hmmer/, provides access to the protein homology search algorithms found in the HMMER software suite. Since the first release of the website in 2011, the search repertoire has been expanded to include the iterative search algorithm, jackhmmer. The continued growth of the target sequence databases means that traditional tabular representa...

Adaptive Web Site Customization

In this paper, we propose a novel site customization model that relies on a topical ontology in order to learn the user interests as these are exemplified in their site navigations. Based on this knowledge, our mechanism personalizes the site’s content and structure so as to meet particular user needs. Experimental results demonstrate that our model has a significant potential in accurately ide...