KoKoo (Kontent Kooration) Evolving a Content Curation System To a comprehensive Editorial backend platform

The aim of this paper is to show how a prototypal system, designed as a general purpose stand-alone content curation tool could be evolved by following some alpha user's feedbacks to an comprehensive multi-service platform. The widespread diffusion of mobile devices, such as smartphones and tablets as long as the availability of mobile wideband services are increasing day by day the number of players in the ICT Market. In such a scenario, following the user needs becomes a critical issue, since it is likely for the users. to find products and services quite similar to the one you are offering, better fulfilling their needs. KOKOO (KOntent + KOO(Ù)ration) is a comprehensive platform made by Telecom Italia R&D division. It is a solution for solving the growing content provider needs to find new and most interesting news to offer to other users on different media, aggregating them in a personal journal with a similar look and feel. Chapter 2 will show the old system (presented also at Nem Summit 2012 showcase), chapter 3 will present user feedbacks and chapter 4 will show the new system and all of its aggregated services, stressing how this was designed by following user feedback

KoKoo (Kontent Kooration) Evolving a Content Curation System To a comprehensive Editorial backend platform

The aim of this paper is to show how a prototypal system, designed as a general purpose stand-alone content curation tool could be evolved by following some alpha user’s feedbacks to an comprehensive multi-service platform. The widespread diffusion of mobile devices, such as smartphones and tablets as long as the availability of mobile wideband services are increasing day by day the number of players in the ICT Market. In such a scenario, following the user needs becomes a critical issue, since it is likely for the users. to find products and services quite similar to the one you are offering, better fulfilling their needs. KOKOO (KOntent + KOO(Ù)ration) is a comprehensive platform made by Telecom Italia R&D division. It is a solution for solving the growing content provider needs to find new and most interesting news to offer to other users on different media, aggregating them in a personal journal with a similar look and feel. Chapter 2 will show the old system (presented also at Nem Summit 2012 showcase), chapter 3 will present user feedbacks and chapter 4 will show the new system and all of its aggregated services, stressing how this was designed by following user feedbacks

SOCIETY: a social reading application to join education and social network experience

Abstract. This paper describes a social reading application designed for education and school communities based on electronic book reading experience. Both design and evaluation followed a user centered approach in order to obtain a custom made application called SOCIETY, to be used by community based groups with similar reading interests, running both on IOS and Android System. A special emphasis was given on personal and social aspects in writing and sharing notes with the community groups and the "facebook or twitter" large community to better understand how that can improve the learning process. Beside showing a high interest on society@school app our trial evidenced the need to separate school community from wider social networks, a need which seems to be important for students. That stresses the importance of privacy management in school applications design, because students seem to be worried about sharing information and mixing school and social networks contexts

SOCIETY: a social reading application to join education and social network experience

Abstract. This paper describes a social reading application designed for education and school communities based on electronic book reading experience. Both design and evaluation followed a user centered approach in order to obtain a custom made application called SOCIETY, to be used by community based groups with similar reading interests, running both on IOS and Android System. A special emphasis was given on personal and social aspects in writing and sharing notes with the community groups and the “facebook or twitter” large community to better understand how that can improve the learning process. Beside showing a high interest on society@school app our trial evidenced the need to separate school community from wider social networks, a need which seems to be important for students. That stresses the importance of privacy management in school applications design, because students seem to be worried about sharing information and mixing school and social networks contexts

LODifying personal content sharing

The advent of contemporary mobile devices and their increasing computing power and location capabilities combined with the most innovative Web technologies has provided mobile users with new possibilities to share experiences on-the-go. The growing quantity of multimedia content present on the Web makes it difficult for mobile users to retrieve suitable content. Typically, users looking for interesting content related to their current position or POI (point of interest), access Web search engines relying on keywords to describe their ideas. Unfortunately such descriptions are often subjective and thus retrieval can be ineffective. To address these issues, our platform provides users with an application targeted for modern mobile devices that allows content acquisition and publication. Published content is automatically analyzed and stored on our server with semantic annotations based on the user's context and content, for further semantic search. We describe how and why we migrated from a triple-tags technology to semantics, hoping for related Linked Data

LODifying personal content sharing

The advent of contemporary mobile devices and their increasing computing power and location capabilities combined with the most innovative Web technologies has provided mobile users with new possibilities to share experiences on-the-go. The growing quantity of multimedia content present on the Web makes it difficult for mobile users to retrieve suitable content. Typically, users looking for interesting content related to their current position or POI (point of interest), access Web search engines relying on keywords to describe their ideas. Unfortunately such descriptions are often subjective and thus retrieval can be ineffective. To address these issues, our platform provides users with an application targeted for modern mobile devices that allows content acquisition and publication. Published content is automatically analyzed and stored on our server with semantic annotations based on the user's context and content, for further semantic search. We describe how and why we migrated from a triple-tags technology to semantics, hoping for related Linked Dat

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora

Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo

Advanced LIGO and Advanced Virgo are monitoring the sky and collecting gravitational-wave strain data with sufficient sensitivity to detect signals routinely. In this paper we describe the data recorded by these instruments during their first and second observing runs. The main data products are gravitational-wave strain time series sampled at 16384 Hz. The datasets that include this strain measurement can be freely accessed through the Gravitational Wave Open Science Center at http://gw-openscience.org, together with data-quality information essential for the analysis of LIGO and Virgo data, documentation, tutorials, and supporting software

Search for intermediate-mass black hole binaries in the third observing run of Advanced LIGO and Advanced Virgo

International audienceIntermediate-mass black holes (IMBHs) span the approximate mass range 100−105 M⊙, between black holes (BHs) that formed by stellar collapse and the supermassive BHs at the centers of galaxies. Mergers of IMBH binaries are the most energetic gravitational-wave sources accessible by the terrestrial detector network. Searches of the first two observing runs of Advanced LIGO and Advanced Virgo did not yield any significant IMBH binary signals. In the third observing run (O3), the increased network sensitivity enabled the detection of GW190521, a signal consistent with a binary merger of mass ∼150 M⊙ providing direct evidence of IMBH formation. Here, we report on a dedicated search of O3 data for further IMBH binary mergers, combining both modeled (matched filter) and model-independent search methods. We find some marginal candidates, but none are sufficiently significant to indicate detection of further IMBH mergers. We quantify the sensitivity of the individual search methods and of the combined search using a suite of IMBH binary signals obtained via numerical relativity, including the effects of spins misaligned with the binary orbital axis, and present the resulting upper limits on astrophysical merger rates. Our most stringent limit is for equal mass and aligned spin BH binary of total mass 200 M⊙ and effective aligned spin 0.8 at 0.056 Gpc−3 yr−1 (90% confidence), a factor of 3.5 more constraining than previous LIGO-Virgo limits. We also update the estimated rate of mergers similar to GW190521 to 0.08 Gpc−3 yr−1.Key words: gravitational waves / stars: black holes / black hole physicsCorresponding author: W. Del Pozzo, e-mail: [email protected]† Deceased, August 2020