Advanced Search, Visualization and Tagging of Sensor Metadata
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We aim to describe the mediation language between users and indexers in a document retrieval system for a big scientific community intimately related to European Union policies. We assume that this mediation is played by thesauri: sets of indexes apparentl ...
Nowadays more and more people are looking for products online, and a massive amount of products are being sold through e-commerce systems. It is crucial to develop effective online product search tools to assist users to find their desired products and to ...
In this paper, we present a query-driven indexing/retrieval strategy for efficient full text retrieval from large document collections distributed within a structured P2P network. Our indexing strategy is based on two important properties: (1) the generate ...
Results caching is an efficient technique for reducing the query processing load, hence it is commonly used in real search engines. This technique, however, bounds the maximum hit rate due to the large fraction of singleton queries, which is an important l ...
We present HAMLET, a suite of principles, scoring models and algorithms to automatically propagate metadata along edges in a document neighborhood. As a showcase scenario we consider tag prediction in community-based Web 2.0 tagging applications. Experimen ...
About 20% of the world's population uses the web, and a large majority thereof uses web search engines to find information. As a result many web researchers are devoting much effort to improving the speed and capabilitiy of search technology. ...
We describe a query-driven indexing framework for scalable text retrieval over structured P2P networks. To cope with the bandwidth consumption problem that has been identified as the major obstacle for full-text retrieval in P2P networks, we truncate posti ...
A keyword based metadata indexing and searching facility for Storage Resource Broker (SRB) is presented here. SRB is a popular data grid based storage system that provides means to store data and associate metadata information with the stored data. The met ...
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How much can smart combinatorial algorithms improve web search engines? To address this question we will describe three algorithms that have had a positive impact on web search engines: The PageRank algorithm, algorithms for finding near-duplicate web page ...
In this paper we pursue three main objectives: (1) to develop a model of an intermediated search market in which matching between consumers and firms takes place primarily via paid referrals; (2) to address the question of designing a suitable mechanism fo ...