The purpose of this project is to explore the feasibility of detecting terms within the electronic messages of patients that could be used to effectively search electronic knowledge resources and bring health information resources into the hands of patients. Our team is exploring the application of the natural language processing (NLP) tools built within the Lister Hill Center at the National L...

Social tagging systems allow users to easily create, organize and share collections of Web resources in a collaborative fashion. Videos, pictures, research papers and Web pages are shared and annotated in sites such as Del.icio.us, CiteULike or Flickr, among others. The rising popularity of these systems leads to a constant increase in the number of users actively publishing and annotating reso...

In this document we review some key observations about the use of naive user tagging in organizing electronic resources, and the possible advantages they display over rigid classification. We report on aggregated views of communal tags and review arguments concerning the relationship between folksonomy (the emergent process of communal classification) and formal ontology, rejecting the strong v...

Medical image classification and retrieval systems have been finding extensive use in the areas of image classification according to imaging modalities, body part and diseases. One of the major challenges in the medical classification is the large size images leading to a large number of extracted features which is a burden for the classification algorithm and the resources. In this paper, it i...

This work studies Named Entity Classification (NEC) for Catalan without making use of large annotated resources of this language. Two views are explored and compared, namely exploiting solely the Catalan resources, and a direct training of bilingual classification models (Spanish and Catalan), given that a large collection of annotated examples is available for Spanish. The empirical results ob...

Modern music production systems provide a plethora of sound resources, e.g. hundreds or thousands of sound patches on a synthesizer. The more the number of available sounds grows, the more difficult it becomes for the user to find the desired sound resource for a particular purpose, thus demanding for advanced retrieval techniques based on sound classification. This paper gives a short survey o...

Classification is a kind of basic semantics that people often use to manage versatile contents in daily life. Resource Space Model (RSM) is a semantic model for sharing and managing various resources using normalized classification semantics. Gossip-based peer-to-peer (P2P) techniques are reliable and scalable protocols for information dissemination. Incorporating RSM with gossip-based techniqu...

The economic assessment of mining projects includes many factors and resource classification is critical at any stage of mining. The quality of resource classification is a key requirement for accurate economic and environmental risk evaluation. The results of economic assessment are usually reported by companies in order to attract investors. Mineral resource classification standards were crea...

The presence of high quality Named Entity gazetteer within a CLIR system is crucial in order to provide multilingual access to digital resources, particularly in the domain of Digital Libraries. In our paper we investigate an approach for automatically extracting this kind of resources from Wikipedia using an unsupervised approach that leverages the DBpedia classification of the English article...

application of satellite imagery and remote sensing techniques in agriculture and other natural resources has been approved by many studies. in this study two etm+ imagery data for may and september 2012 of astan ghods razavi great farm were acquired to identify the boundaries of lands cultivated with different crops coverage and to create crops maps of that farm. . to classify the images, the ...