Recently, GPS and mobile devices allowed collecting a huge amount of mobility data. Researchers from different communities have developed models and techniques for mobility analysis. But they mainly focused on the geometric properties of trajectories and do not consider the semantic facet of moving objects. The techniques are good at extracting patterns, but they are hard to interpret in a spec...

In this study we quantify for the first time electrophysiological components associated with incorporating long-term semantic knowledge with visuo-spatial information using two variants of a traditional matrix patterns task. Results indicated that the matrix task with greater semantic content was associated with enhanced accuracy and RTs in a change-detection paradigm; this was also associated ...

The explosive growth of the World Wide Web (WWW) has resulted in intricate Web sites, demanding for tools and methods to complement user skills in the task of searching for the desired information. In this context Web usage mining techniques have been developed for the discovery and analysis of frequent navigation patterns from Web server logs, which can be used as input for recommendation engi...

Conceptual natural language processing systems usually rely on case frame instantiation to recognize events and role objects in text. But generating a good set of case frames for a domain is timeconsuming, tedious, and prone to errors of omission. We have developed a corpus-based algorithm for acquiring conceptual case frames empirically from unannotated text. Our algorithm builds on previous r...

Pattern-based approaches for Information Extraction (IE) typically apply a pattern learner to a set of domain-specific training documents to generate extraction patterns for the IE system. This restricts the coverage of the system primarily to the expressions and language constructs that appear within the limited training data. Our research looks to the vast quantities of readily available text...

Service Oriented Architectures represent a huge step towards providing simpler, more dynamic and cheaper integration solutions. But SOA cannot and it is not meant to solve all the heterogeneity problems inherent to enterprise integration tasks. Semantics is coming to offer the tools to enable scalable, efficient and cost effective solutions to some of these problems. Using ontologies and semant...

When intelligence analysts are required to understand a complex uncertain situation, one of the techniques they use most often is to simply draw a diagram of the situation. The diagrams, also called attributed relational graphs or semantic graphs, generally capture the meaning about the situation in their nodes and edges, where the nodes represent concepts/entities and the edges represent the r...

This paper describes an automatic approach to identify lexical patterns which represent semantic relationships between concepts, from an on-line encyclopedia. Next, these patterns can be applied to extend existing ontologies or semantic networks with new relations. The experiments have been performed with the Simple English Wikipedia and WordNet 1.7. A new algorithm has been devised for automat...

The impetus behind this s‌tudy is to discover the aes‌thetic and semantic patterns of the cypress tree and show how this element has been employed by Iranian artis‌ts. The ques‌tion of this research is how a cons‌tant element (the cypress tree) has been transfigured in different Iranian arts. Four categories of miniature, carpet, textile and architecture decoration. The present research is qual...