Semantic Web Services are a research effort to automate the usage of Web services, a necessary component for the Semantic Web. Traditionally, Web service discovery depends on detailed formal semantic descriptions of available services. Since a complete detailed service description is not always feasible, the client software cannot select the best service offer for a given user goal only by usin...

For languages that have adequate data for automatic speech recognition (ASR), many keyword search(KWS) and document retrieval(SDR) systems have been developed with near-optimal performance. However, lacking of sufficient training data to produce high accuracy transcript, identification and retrieval of queries in speech data from low-resources languages remains challenging. To compensate for th...

One of the aims of EuroWordNet (EWN) was to provide a resource for Cross-Language Information Retrieval (CLIR). In this paper we present experiments to test the usefulness of EWN for this purpose via a formal evaluation using the Spanish queries from the TREC6 CLIR test set. All CLIR systems using bilingual dictionaries must find a way of dealing with multiple translations and we employ a word ...

Commercial usage of the Internet increases. It is therefore likely that information providers will increasingly charge end-users for the information they provide on such networks. Hence, the need will also arise for information retrieval procedures that takes such costs into account. However, currently little support exists for such cost-effective information retrieval in a networked environmen...

This paper discusses the impact of resource-driven stemming in information retrieval tasks. We conducted experiments in order to identify the relative benefit of various stemming strategies in a language with highly complex morphology. The results reveal the importance of various aspects of stemming in enhancing system performance in the IR task of the CLEF ad-hoc monolingual Hungarian track. T...

1 This research is supported in part by a grant from the National Science Foundation. 2 Department of MIS (College of BPA) 3 Office of Arid Lands Studies 4 School of Renewable Natural Resources Abstract Remote sensing satellites are generating large amounts of (image) data at different levels of temporal, spatial and spectral resolution, with varying levels of detail, and at various stages of p...

Latent Semantic Indexing (LSI) is one of the popular techniques in the information retrieval fields. Different from the traditional information retrieval techniques, LSI is not based on the keyword matching simply. It uses statistics and algebraic computations. Based on Singular Value Decomposition (SVD), the higher dimensional matrix is converted to a lower dimensional approximate matrix, of w...

Many multimedia presentation applications involve retrieval of objects from more than one collaborating server. Presentations of objects from diierent collaborating servers might be interdependent. For instance, we can consider distributed video servers where blocks of movies are distributed over a set of servers. Here, blocks of a movie from diierent video servers have to be retrieved and pres...

This paper presents an integrated approach to textual resource retrieval, which combines logical inference services with user profiles, in which a structured representation of the user interests is maintained. Learning is performed on documents which have been disambiguated by exploiting the WordNet lexical database, in an attempt to discover concepts describing user interests. The proposed app...