Thematic analysis is important for a lot of applications dealing with texts, such as text summarisation or information extraction. But it can be done with a great precision only if it relies on structured knowledge, which is difficult to produce. In this paper, we propose using bootstrapping in order to solve this problem: a first thematic analysis based on a weakly structured source of knowled...

Remote sensing has more advantages than the traditional methods of land surface water (LSW) mapping because it is a low-cost, reliable information source that is capable of making high-frequency and repeatable observations. The normalized difference water indexes (NDWIs), calculated from various band combinations (green, near-infrared (NIR), or shortwave-infrared (SWIR)), have been successfully...

The quality of remotely sensed land use and land cover (LULC) maps is affected by the accuracy of image data classifications. Various efforts have been made in advancing supervised or unsupervised classification methods to increase the repeatability and accuracy of LULC mapping. This study incorporates a data-assisted labeling approach (DALA) into the unsupervised classification of remotely sen...

Frequently family members are geographically separated for large parts of the day. This separation, allied to a busy schedule, can make it difficult to share daily experiences and maintain the feeling of connectedness. This paper describes an exploratory study to investigate family dynamics and the use of technology in families with primary school children. We interviewed five families about th...

In this study, a fuzzy-based multisensor data fusion classifier is developed and applied to land cover classification using ERS-1/JERS-1 SAR composites. This classifier aims at the integration of multisensor and contextual information in a single and a homogeneous framework. Initial Fuzzy Membership Maps (FMM) to different thematic classes are first calculated using classes and sensors a priori...

It is generally recognized that many second language learners have difficulties with cohesion in academic texts.  Writing seems to be the most difficult subject for many students. To produce good writing, it is necessary to know how to organize Theme and Rheme in a text. Thematic structure as an important feature in textual metafunction plays a significant role in promoting the textual coherenc...

The end user often needs to define extremely complex interpretation tasks and to require the analysis results to be quantitatively proven for each pixel without the test data. To this end, this paper extends the ideas underlying the modelbased unsupervised classification method previously proposed by us (Koltunov and Ben-Dor 2001). Consistently with that method, the quality of assigning a pixel...