This paper presents a semantic confidence measure that aims to predict the relevance of automatic transcripts for a task of Spoken Document Retrieval (SDR). The proposed predicti...
The problem of business-IT alignment is of widespread economic concern. As one way of addressing the problem, this paper describes an online system that functions as a kind of Wik...
TION ABSTRACT Personalised Video Retrieval: Application of Implicit Feedback and Semantic User Profiles Frank Hopfgartner University of Glasgow Glasgow G12 8QQ United Kingdom A ch...
Abstract. The increased availability and robustness of sensors, the wide-spread use of the internet as a communication environment and the intensified adoption of semantic technolo...
The Semantic Web emphasizes encoding over modeling. It is built on the premise that ontology engineers can say something useful about the semantics of vocabularies by expressing th...
With the emergence of the e-Catalog, there has been an increasingly wide application of commodities query in distributed environment in the field of e-commerce. But e-Catalog is o...
Donglin Chen, Xiaofei Li, Yueling Liang, Jun Zhang
The use of geographic data through Web services shows the geospatial Web Services (GWS). A growing number of GWS designed to interoperate spatial information over the network have...
With the advent of Web 2.0 and the emergence of improved technologies to enhance UI, the importance of user experience and intuitiveness of Web interfaces led to the growth and su...
Previous research suggests that bilinguals presented with low and high predictability sentences benefit from semantics in clear but not in conversational speech [1]. In everyday s...
Marco van de Ven, Benjamin V. Tucker, Mirjam Ernes...
Computing the degree of semantic relatedness of words is a key functionality of many language applications such as search, clustering, and disambiguation. Previous approaches to c...
Kira Radinsky, Eugene Agichtein, Evgeniy Gabrilovi...