This article presents a novel crawling and clustering method for extracting and processing cultural data from the web in a fully automated fashion. Our architecture relies upon a ‘focused’ web crawler to download web documents relevant to culture. The term ‘focused crawler’ refers to web crawlers that search and process only those web pages that are relevant to a particular topic. After downloa...

0169-023X/$ see front matter 2008 Elsevier B.V doi:10.1016/j.datak.2008.05.004 q CiteSpace is available at http://cluster.cis.drexel.e papers/2008/dke/figures. * Corresponding author. E-mail addresses: [email protected] ( The thematic and citation structures of Data and Knowledge Engineering (DKE) (1985–2007) are identified based on text analysis and citation analysis of the bibliogra...

Most recent unsupervised methods in vector space semantics for assessing thematic fit (e.g. Erk, 2007; Baroni and Lenci, 2010; Sayeed and Demberg, 2014) create prototypical rolefillers without performing word sense disambiguation. This leads to a kind of sparsity problem: candidate role-fillers for different senses of the verb end up being measured by the same “yardstick”, the single prototypic...

Automatically identifying the event type of event-related information in the sheer amount of social media data makes machine learning inevitable. However, this is highly dependent on (1) the number of correctly labeled instances and (2) labeling costs. Active learning has been proposed to reduce the number of instances to label. Though, current approaches focus on the thematic dimension, i.e., ...

The purpose of this study is to investigate the influence of given-new ordering on word order change and topic marker WA, using a self-paced reading task. The results demonstrated that OACCSNOMV is sensitive to given-new information, but SNOMOACCV, STOPOACCV, and OTOPSNOMV are not. This fact can be explained by the Markedness Principle for Discourse Rule Violation (Kuno, 1987: 212): both SNOMOA...

Worldwide urbanization has significantly changed the landscape in recent decades, which resulted in an urban heat island (UHI) phenomenon. This study quantitatively analyzed the spatiotemporal changes of the urban heat island (UHI) of Zhangzhou estuary city of China, in the context of urbanisation using Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) thermal images acquire...

The network of excellence HUMAINE is currently making a co-ordinated, interdisciplinary effort to develop a consistent view on emotion-oriented computing. This overview paper proposes a “map” of the research area, distinguishing core technologies from applicationoriented and psychologically oriented work. First results from the ongoing research in the thematic workpackages are reported.

We address in this paper the co-clustering and co-classification of bilingual data laying in two linguistic similarity spaces when a comparability measure defining a mapping between these two spaces is available. A new approach that we can characterized as a three-mode data analysis scheme, is proposed to mix the comparability measure with the two similarity measures. Our aim is to improve join...

Abstract. In this paper we are using the poset representation to describe the complex answers given by IR systems after a clustering and ranking processes. The answers considered may be given by cartographical representations or by thematic sub-lists of documents. The poset representation, with the graph theory and the relational representation opens many perspectives in the definition of new s...

Pixel-wise spectral classiication is a widely used technique to produce thematic maps from remotely sensed multispectral imagery. It is commonly based on purely spectral features. In our approach we additionally consider additional spatial features in the form of local context information. After all, spatial context is the deening property of an image. Markov random eld modeling provides the as...