BibSonomy: a social bookmark and publication sharing system

Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. In this paper we specify a formal model for folksonomies and briefly describe our own system BibSonomy, which allows for sharing both bookmarks and publication references in a kind of personal library.

Wash your hands

This bookmark written in both English and Spanish explains how to wash your hands.

Construção de uma base de conhecimento para geração de conteúdos

Trabalho de projeto para obtenção do grau de Mestre em Engenharia Informática e de Computadores

Arthur A. Schmon fonds

Arthur Albert Schmon was born in 1895 in Newark, New Jersey. During his studies at Barringer High School in Newark, he met Eleanore Celeste Reynolds who was to become his wife in August of 1919. Mr. Schmon studied English literature at Princeton and graduated with honours in 1917. That same year, Mr. Schmon joined the United States Army where he served under Colonel McCormick as an adjutant in field artillery in World War I. In 1919, he was discharged as a captain. Colonel McCormick (editor and publisher of the Chicago Tribune) offered Schmon a job in his Shelter Bay pulpwood operations. Mr. Schmon accepted the challenge of working at this lonely outpost on the lower St. Lawrence River. Schmon was promoted to Woodlands Manager in 1923. In 1930, he became the General Manager. This was expected to be a seasonal operation but the construction of the mill led to the building of a town (Baie Comeau) and its power development. All of this was accomplished under Schmon’s leadership. In 1933, he was elected the President and General Manager of the Ontario Paper Company. He later became the Chairman and Chief Executive Officer. Arthur Schmon made his home in St. Catharines where he played an active role in the community. Schmon was a member of the Founders’ Committee at Brock University and he was a primary force behind the establishment of a University in the Niagara Region. The Brock University Tower is named after him. He also served as Chairman of the St. Catharines Hospital Board of Governors for over 15 years, and was responsible for guiding the hospital through a 3 million dollar expansion program. He was a Governor of Ridley College and an Honorary Governor of McMaster University in Hamilton. Mr. Schmon died of lung cancer on March 18, 1964. He had been named as the St. Catharines’ citizen of the year just one week earlier. Mr. Schmon had 2 sons Robert McCormick Schmon, who was chairman of the Ontario Paper Co. Ltd., St. Catharines, Canada, and the Q.N.S. Paper Co., Baie-Comeau, Canada. He was also director of a Chicago Tribune Co. He died at the age of 61. Another son, Richard R. Schmon, was a second lieutenant in the 313th Field Artillery Battalion, 80th Infantry Division in World War II. He was listed as missing in action on November 5, 1944.

Information Dynamics and Knowledge Management in Science & Technology

This paper describes the current information dynamics and its effect in higher education and research in science and technology. Open access movement ,Institutional repositories ,Digital libraries,Knowledge gateways,Blogs,Wikis,and social bookmark tools have rapidly emerged on the web creating a new scenerio that radically changes the knowledge production process such as the creation of information,formats and sources of information,coding and processing ,accessing managing sharing and dissemination of information.The management of knowledge created by academia of Cochin University Of Science And Technology is examined in this challenging context of information dynamics.

Mining association rules in folksonomies

Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. These systems provide currently relatively few structure. We discuss in this paper, how association rule mining can be adopted to analyze and structure folksonomies, and how the results can be used for ontology learning and supporting emergent semantics. We demonstrate our approach on a large scale dataset stemming from an online system.

Trend detection in folksonomies

As the number of resources on the web exceeds by far the number of documents one can track, it becomes increasingly difficult to remain up to date on ones own areas of interest. The problem becomes more severe with the increasing fraction of multimedia data, from which it is difficult to extract some conceptual description of their contents. One way to overcome this problem are social bookmark tools, which are rapidly emerging on the web. In such systems, users are setting up lightweight conceptual structures called folksonomies, and overcome thus the knowledge acquisition bottleneck. As more and more people participate in the effort, the use of a common vocabulary becomes more and more stable. We present an approach for discovering topic-specific trends within folksonomies. It is based on a differential adaptation of the PageRank algorithm to the triadic hypergraph structure of a folksonomy. The approach allows for any kind of data, as it does not rely on the internal structure of the documents. In particular, this allows to consider different data types in the same analysis step. We run experiments on a large-scale real-world snapshot of a social bookmarking system.

My delicious feed

Pages I bookmark on delicious

The Relationship between Authors and Main Thematic Categories in the Field of Knowledge Organization: A Bibliometric Approach

This is a study about the relationships between authors and the main thematic categories in the papers published in the last five International ISKO Conferences, held between 2002 and 2010. The aim is to map the domain as ISKO conferences are considered the most representative forum in the field. The published papers are considered to indicate the relationships between authors and themes. The Classification Scheme for Knowledge Organization Error! Bookmark not defined Literature (CSKOL) was used to categorize the papers. The theoretical and methodological foundations of the study can be found in the concept of domain analysis proposed by Hjorland. The analysis of the papers (n=146) led to the identification of the most productive authors, the networks representing the relationships between the authors as also the categories that constitute the primary areas of research.

Finite element analysis for prediction of bone strength

Article preview View full access options BoneKEy Reports | Review Print Email Share/bookmark Finite element analysis for prediction of bone strength Philippe K Zysset, Enrico Dall'Ara, Peter Varga & Dieter H Pahr Affiliations Corresponding author BoneKEy Reports (2013) 2, Article number: 386 (2013) doi:10.1038/bonekey.2013.120 Received 03 January 2013 Accepted 25 June 2013 Published online 07 August 2013 Article tools Citation Reprints Rights & permissions Abstract Abstract• References• Author information Finite element (FE) analysis has been applied for the past 40 years to simulate the mechanical behavior of bone. Although several validation studies have been performed on specific anatomical sites and load cases, this study aims to review the predictability of human bone strength at the three major osteoporotic fracture sites quantified in recently completed in vitro studies at our former institute. Specifically, the performance of FE analysis based on clinical computer tomography (QCT) is compared with the ones of the current densitometric standards, bone mineral content, bone mineral density (BMD) and areal BMD (aBMD). Clinical fractures were produced in monotonic axial compression of the distal radii, vertebral sections and in side loading of the proximal femora. QCT-based FE models of the three bones were developed to simulate as closely as possible the boundary conditions of each experiment. For all sites, the FE methodology exhibited the lowest errors and the highest correlations in predicting the experimental bone strength. Likely due to the improved CT image resolution, the quality of the FE prediction in the peripheral skeleton using high-resolution peripheral CT was superior to that in the axial skeleton with whole-body QCT. Because of its projective and scalar nature, the performance of aBMD in predicting bone strength depended on loading mode and was significantly inferior to FE in axial compression of radial or vertebral sections but not significantly inferior to FE in side loading of the femur. Considering the cumulated evidence from the published validation studies, it is concluded that FE models provide the most reliable surrogates of bone strength at any of the three fracture sites.

Sermons : manuscript, 1717-1719

Autograph manuscript, signed.

Should old acquaintance, formerly American pilgrimage,

Expanded from the author's radio program "American pilgrimage."

The sensitive plant /

Bookmark from William R. Jenkins Co., New York laid in.