Existing content aggregators provide fast and efficient access to large volumes of shared data and serve as critical centralized components of many peer-to-peer systems, including content discovery for BitTorrent. These aggregators’ operators are tasked to spend significant human resources to manually vet uploaded data to ensure compliance with copyright laws. This task does not scale with toda...

The fundamental requirement of censorship resistance is content availability and discoverability — it should be easy for users to find and access documents. At the same time, participating storage providers should be unaware of what they are storing to preserve plausible deniability. Fulfilling these requirements simultaneously seems impossible — how does a system maintain a searchable index of...

Up-to-date geospatial information can help crisis management community to coordinate its response. In addition to data that is created and curated by experts, there is an abundance of user-generated, user-curated data on Social Web sites such as Flickr, Twitter, and Google Earth. User-generated data and metadata can be used to harvest knowledge, including geospatial knowledge that will help sol...

Social search has been claimed to improve content discovery by allowing users to draw on their social network to find relevant content. Thus social network information, complemented with metadata, can enhance the search for new information. We examine the relative contribution of social network information and file metadata in predicting downloads of files by analyzing the file browsing behavio...

Unstructured peer-to-peer networks are frequently used as the overlay in various middleware toolkits for emerging applications, from content discovery to query result caching to distributed collaboration. Often it is assumed that unstructured networks will form a power-law topology; however, a power-law structure is not the best topology for an unstructured network. In this paper, we introduce ...

Organizing data into category hierarchies (taxonomies) is useful for content discovery, search, exploration and analysis. In industrial settings targeted taxonomies for specific domains are mostly created manually, typically by domain experts, which is time consuming and requires a high level of expertise. This paper presents an algorithm and an implemented interactive system for automatically ...

Nowadays, organizational innovation constitutes the government challenges for providing better and more efficient services to citizens, enterprises or other public offices. E–government seems to be an excellent opportunity to work on this way. The applications that support front-end services delivered to users have to access information systems of multiple government areas. This is a significan...

Application of data mining techniques to the World Wide Web referred to as Web mining has been the focus of several recent research projects and papers However there is no established vocabulary leading to confusion when comparing research e orts The term Web mining has been used in two distinct ways The rst called Web content mining in this paper is the process of information discovery from so...

The fundamental requirement of censorship resistance is content availability and discoverability — it should be easy for users to find and access documents. At the same time, participating storage providers should be unaware of what they are storing to preserve plausible deniability. Fulfilling these requirements simultaneously seems impossible — how does a system maintain a searchable index of...

A major trend in the current information society is personalization, which is considered a key business enabler for mobile services because the mobile device is a personal assistant that offers unique opportunities such as real-time adaptation of services to a dynamic user environment. To offer personalized services in a consistent manner and to speed up the development of such services, we pre...