نتایج جستجو برای: thematic clustering

تعداد نتایج: 128400  

2014
Hanane Ouksili

An increasing number of RDF datasets is published on the Web. A user willing to use these datasets will first have to explore them in order to determine which information is relevant for his specific needs. To facilitate this exploration, we present an approach allowing to provide a thematic view of a given RDF dataset, making it easier to target the relevant resources and properties. Our appro...

Journal: :CoRR 2003
Christine Michel

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 similarity ...

2013
Dmitriy Mikhaylovich Korobkin Sergey Alexeevich Fomenkov Sergey Grigoryevich Kolesnikov Yulia Alexandrovna Orlova

Submitted: Aug 7, 2013; Accepted: Sep 18, 2013; Published: Sep 25, 2013 Abstract: To make a large amount of text documents available to perception, it is necessary to spread the information sources in thematic groups. In this paper, filtering of electronic documents is based on a preliminary multi-stage clustering algorithm: at the first stage for reducing the feature space Kohonen maps (SOM) a...

2001
Michele Jardino Brigitte Grau Olivier Ferret

Many Natural Language Processing applications require semantic knowledge about topics in order to be possible or to be efficient. So we developed a system, SEGAPSITH, that acquires it automatically from text segments by using an unsupervised and incremental clustering method. In such an approach, an important problem consists of the validation of the learned classes. To do that, we applied anot...

2015
Frank Havemann Jochen Gläser Michael Heinz

In spite of recent advances in field delineation methods, enduring problems such as the impossibility to justify necessary thresholds and the difficulties in comparing thematic structures obtained by different algorithms leave bibliometricians with a sense of uneasiness about their methods. In this paper, we propose and demonstrate a new approach to the delineation of thematic structures that a...

2004
Panagiotis Bouros Theodore Dalamagas Timos K. Sellis Manolis Terrovitis

Hierarchical structures and catalogs is a way to organize and enrich semantically the available information in the Web. From simple tree-like structures with syntactic constraints and type information, like DTDs and XML schemas, to hierarchies on a category/subcategory basis, like thematic hierarchies and RDF(s) models, such structures group data under certain properties. Paths in these structu...

2001
Keith Andrews Christian Gütl Josef Moser Vedran Sabol Wilfried Lackner

The xFIND gatherer broker architecture provides a wealth of metadata, which can be used to provide sophisticated search functionality. Local or remote documents are indexed and summaries and metadata stored on an xFIND broker (server). An xFIND client can search a particular broker and access rich metadata for search result presentation, without having to fetch the original documents themselves...

2003
Manolis Wallace Giorgos Akrivas Phivos Mylonas Yannis Avrithis Stefanos Kollias

Object detection techniques are coming closer to the automatic detection and identification of objects in multimedia documents. Still, this is not sufficient for the understanding of multimedia content, mainly because a simple object may be related to multiple topics, few of which are indeed related to a given document. In this paper we determine the thematic categories that are related to a do...

Journal: :J. Web Sem. 2013
Konstantina Bereta Charalampos Nikolaou Manos Karpathiotakis Kostis Kyzirakos Manolis Koubarakis

We present SexTant, a Web-based system for the visualization and exploration of time-evolving linked geospatial data and the creation, sharing, and collaborative editing of “temporally-enriched” thematic maps which are produced by combining different sources of such data.

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