Patty Kostkova

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Epidemic Intelligence is being used to gather information about potential diseases outbreaks from both formal and increasingly informal sources. A potential addition to these informal sources are social networking sites such as Facebook and Twitter. In this paper we describe a method for extracting messages, called “tweets” from the Twitter website and the(More)
Explicit and implicit feedback exhibits different characteristics of users' preferences with both pros and cons. However, a combination of these two types of feedback provides another paradigm for recommender systems (RS). Their combination in a user preference model presents a number of challenges but can also overcome the problems associated with each(More)
OBJECTIVES e-Bug, a junior and senior school educational programme to decrease the spread of infection and unnecessary antibiotic use, was developed and consisted of eight sections providing information on the spread, treatment and prevention of infection as well as basic information on microbes, both useful and harmful. Each section comprised teacher(More)
Recommender systems are firmly established as a standard technology for assisting users with their choices; however, little attention has been paid to the application of the user model in recommender systems, particularly the variability and noise that are an intrinsic part of human behavior and activity. To enable recommender systems to suggest items that(More)
Much attention has been focused on Twitter because it serves as a central hub for the publishing, dissemination, and discovery of online media. This is true for both traditional news outlets and user generated content, both of which can vary widely in their journalistic and scientific quality. The recent Swine Flu pandemic of 2009 highlighted this aspect(More)
Antibiotic resistance is an increasing community problem and is related to antibiotic use. If antibiotic use could be reduced, the tide of increasing resistance could be stemmed. e-Bug is a European project involving 18 European countries, partly funded by The Directorate-General for Health and Consumers (DG SANCO) of the European Commission. It aims to(More)
The objective of SeaLife is the conception and realisation of a semantic Web/Grid browser for the life sciences which will link the existing Web to the currently emerging eScience infrastructure. The SeaLife Browser will allow users to automatically link a host of Web servers and Web/Grid services to the Web content he/she is visiting. This will be(More)
Early warning systems for the identification and tracking of infections disease outbreaks have become an important tool in the field of epidemiology. While government lead initiatives to increase the sharing of surveillance data have improved early detection and control, along with advanced web monitoring and analytics services, the recent swine flu(More)
In this paper, we present our study and characterisation of explicit and implicit feedback on Last.fm, an online music station and recommender service. The dataset consisted of explicit positive feedback (through loved tracks) and implicit positive feedback (the number of times a track is played). As one would expect, our analysis shows that explicit(More)
The semantic Web vision relies on metadata and semantic annotation to be implemented on real world data. Ontologies and ontology-like artefacts are the key component providing necessary knowledge for Web document description. Domain ontology building is, however, a difficult and time consuming task. In this paper, we present our process of building an(More)