7,900 research outputs found
CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap
After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in
multimedia search engines, we have identified and analyzed gaps within European research effort during our second year.
In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio-
economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown
of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on
requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the
community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our
Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as
National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core
technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research
challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal
challenges
We Could, but Should We? Ethical Considerations for Providing Access to GeoCities and Other Historical Digital Collections
We live in an era in which the ways that we can make sense of our past are evolving as more artifacts from that past become digital. At the same time, the responsibilities of traditional gatekeepers who have negotiated the ethics of historical data collection and use, such as librarians and archivists, are increasingly being sidelined by the system builders who decide whether and how to provide access to historical digital collections, often without sufficient reflection on the ethical issues at hand. It is our aim to better prepare system builders to grapple with these issues. This paper focuses discussions around one such digital collection from the dawn of the web, asking what sorts of analyses can and should be conducted on archival copies of the GeoCities web hosting platform that dates to 1994.This research was supported by the Natural Sciences and Engineering Research Council of Canada, the Social Sciences and Humanities Research Council of Canada, the US National Science Foundation (grants 1618695 and 1704369), the Andrew W. Mellon Foundation, Start Smart Labs, and Compute Canada
Business plan for travel with: a started-up company for a tourism social platform
Travel With comes from the need to have a platform that improves the authors trip planning
experience. The idea is to smooth the research pase by reducing the time needed, providing a digital
space where the customer can see or plan trips with cheaper prices, compare bias feedback and travel
tips. By storing all the information in one place, Travel With simplifies planning and travel logistics
management, and thus brings a quicker, happier, and rewarding user experience.
The purpos of this study is to analyse the ideas feasibility, considering literature review on the market
and customer (Millennials), led to the conclusion of which was the best business target and strategy.
Customer needs and interests were analysed through quantitative and qualitative research with the
goal to find market opportunities. This reasearch allowed an improvement of the original concept,
supporting the creationg of aplatform that would satisfy the customers.
According to the market analysis and the customer researches, obstacles where identified, and
transformed into opportunities through a digital marketing strategy focusing on social networks and
the importance of influencers.
The results have shown that the idea brings value to the market, but its success highly depends on its
strategy, which will ensure the companies survival and success in a completive market.A ideia de negĂłcios surge de uma necessidade do autor em facilitar a sua experiĂŞncia de planeamento
de viagens. De modo a reduzir as horas de pesquisa bem como as várias fontes, surge a ideia de criar
uma única plataforma capaz de recolher toda a informação, onde os consumidores poderão não só
criar as suas próprias viagens onde a plataforma sugere os serviços com os preços mais baixos versus
qualidade, mas também a planos de viagens feitos por outros "users" com dicas e comentários
fidedignos.
O objetivo deste estudo teve por base a analise da viabilidade da ideia de negócio, através de uma
análise de mercado e de consumidores target ("Millennials") com base em artigos e publicações, sendo
posteriormente confirmada por métodos de pesquisa quantitativos e qualitativos, dos quais surgiram
resultados que tiveram impacto na ideia original, tendo sido necessário realizar alterações de modo a
garantir que a mesma satisfazia as necessidades dos cientes tornando-se uma oportunidade de
mercado.
ApĂłs as analises internas e externas foi possĂvel identificar fraquezas que posteriormente foram
transformadas em oportunidades através de uma estratégia de marketing digital baseada na
experiĂŞncia de redes socias e o impacto de "Influencers" nos consumidores.
O estudo concluà que o mercado atribui valor à ideia, no entanto o sucesso da mesma está diretamente
ligado ao sucesso de implementação da estratégia, que ajudará na obtenção de resultados num
mercado de elevada competitividade onde a melhoria continua e adaptabilidade sĂŁo cruciais para o
sucesso e sobrevivĂŞncia da empresa
Blog Style Classification: Refining Affective Blogs
In the constantly growing blogosphere with no restrictions on form or topic, a number of writing styles and genres have emerged. Recognition and classification of these styles has become significant for information processing with an aim to improve blog search or sentiment mining. One of the main issues in this field is detection of informative and affective articles. However, such differentiation does not suffice today. In this paper we extend the differentiation and suggest a fine-grained set of subcategories for affective articles. We propose and evaluate a classification method employing novel lexical, morphological, lightweight syntactic and structural features of written text. The results show that our method outperforms the existing approaches
Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples
Machine Learning has been a big success story during the AI resurgence. One
particular stand out success relates to learning from a massive amount of data.
In spite of early assertions of the unreasonable effectiveness of data, there
is increasing recognition for utilizing knowledge whenever it is available or
can be created purposefully. In this paper, we discuss the indispensable role
of knowledge for deeper understanding of content where (i) large amounts of
training data are unavailable, (ii) the objects to be recognized are complex,
(e.g., implicit entities and highly subjective content), and (iii) applications
need to use complementary or related data in multiple modalities/media. What
brings us to the cusp of rapid progress is our ability to (a) create relevant
and reliable knowledge and (b) carefully exploit knowledge to enhance ML/NLP
techniques. Using diverse examples, we seek to foretell unprecedented progress
in our ability for deeper understanding and exploitation of multimodal data and
continued incorporation of knowledge in learning techniques.Comment: Pre-print of the paper accepted at 2017 IEEE/WIC/ACM International
Conference on Web Intelligence (WI). arXiv admin note: substantial text
overlap with arXiv:1610.0770
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