17,612 research outputs found
Lightweight community-driven approach to support ontology
The challenge for businesses today is to operate efficiently and effectively by ensuring the availability of updated information necessary for business activities. At situations where daily operations require collaborative communication among staff working in dispersed locations - characterised by different time zones and working conditions - it is essential that the staff have and share common knowledge, especially since staff members may have diverse understandings and perceptions of an issue.In order to overcome such challenge in business, using the oil and gas industry as a case study, this research proposes a platform based on a Lightweight Community-driven approach whereby staff are presented with opportunities to raise and discuss a particular issue in a systematic manner. In addition, ontology is used to support the representation of domain knowledge in which evolution is expected as human knowledge is not static. The fundamental principle of the Lightweight Community-driven approach is to involve organisation personnel in an exchange of ideas and opinions that lead to a higher quality of output. Staff are categorised in two groups, the Contributor Group and the Admin Group, each of which has a different role and responsibility in the whole process of communication. Members of the Contributor Group are those who are actively participating in the discussion by raising issues, providing feedback, and voting on an issue. This group is responsible for the quality of the discussion result which includes reliability of the ontology. The Admin Group are tasked with the managerial aspects of discussion to ensure the eligibility of every participant.Ontology evolution, subsequently, takes place to incorporate the result of the discussion. When there is a need to revise the intended ontology, the current ontology will be improved and archived ontology is created. Otherwise, ontology will remain the same as it is considered relevant by employees of the oil and gas industry. The proposed platform is explained and validated in detail in this thesis. The outcomes of the collective efforts to improve the quality of information within the domain are: a decrease of day-to-day work, cost saving, increased productivity and the availability of a communication forum
Critical Impact of Social Networks Infodemic on Defeating Coronavirus COVID-19 Pandemic: Twitter-Based Study and Research Directions
News creation and consumption has been changing since the advent of social
media. An estimated 2.95 billion people in 2019 used social media worldwide.
The widespread of the Coronavirus COVID-19 resulted with a tsunami of social
media. Most platforms were used to transmit relevant news, guidelines and
precautions to people. According to WHO, uncontrolled conspiracy theories and
propaganda are spreading faster than the COVID-19 pandemic itself, creating an
infodemic and thus causing psychological panic, misleading medical advises, and
economic disruption. Accordingly, discussions have been initiated with the
objective of moderating all COVID-19 communications, except those initiated
from trusted sources such as the WHO and authorized governmental entities. This
paper presents a large-scale study based on data mined from Twitter. Extensive
analysis has been performed on approximately one million COVID-19 related
tweets collected over a period of two months. Furthermore, the profiles of
288,000 users were analyzed including unique users profiles, meta-data and
tweets context. The study noted various interesting conclusions including the
critical impact of the (1) exploitation of the COVID-19 crisis to redirect
readers to irrelevant topics and (2) widespread of unauthentic medical
precautions and information. Further data analysis revealed the importance of
using social networks in a global pandemic crisis by relying on credible users
with variety of occupations, content developers and influencers in specific
fields. In this context, several insights and findings have been provided while
elaborating computing and non-computing implications and research directions
for potential solutions and social networks management strategies during crisis
periods.Comment: 11 pages, 10 figures, Journal Articl
From past to present: spam detection and identifying opinion leaders in social networks
On microblogging sites, which are gaining more and more users every day, a wide range of ideas are quickly emerging, spreading, and creating interactive environments. In some cases, in Turkey as well as in the rest of the world, it was noticed that events were published on microblogging sites before appearing in visual, audio and printed news sources. Thanks to the rapid flow of information in social networks, it can reach millions of people in seconds. In this context, social media can be seen as one of the most important sources of information affecting public opinion. Since the information in social networks became accessible, research started to be conducted using the information on the social networks. While the studies about spam detection and identification of opinion leaders gained popularity, surveys about these topics began to be published. This study also shows the importance of spam detection and identification of opinion leaders in social networks. It is seen that the data collected from social platforms, especially in recent years, has sourced many state-of-art applications. There are independent surveys that focus on filtering the spam content and detecting influencers on social networks. This survey analyzes both spam detection studies and opinion leader identification and categorizes these studies by their methodologies. As far as we know there is no survey that contains approaches for both spam detection and opinion leader identification in social networks. This survey contains an overview of the past and recent advances in both spam detection and opinion leader identification studies in social networks. Furthermore, readers of this survey have the opportunity of understanding general aspects of different studies about spam detection and opinion leader identification while observing key points and comparisons of these studies.This work is supported in part by the Scientific and Technological Research Council of Turkey (TUBITAK) through grant number 118E315 and grant number 120E187. Points of view in this document are those of the authors and do not necessarily represent the official position or policies of TUBITAK.Publisher's VersionEmerging Sources Citation Index (ESCI)Q4WOS:00080858480001
10021 Abstracts Collection -- Service-Oriented Architecture and (Multi-)Agent Systems Technology
From 10.01. to 15.01.2010, Dagstuhl Seminar 10021
``Service-Oriented Architecture and (Multi-)Agent Systems Technology \u27\u27
was held in Schloss Dagstuhl~--~Leibniz Center for Informatics.
During the seminar, several participants presented their current
research, and ongoing work and open problems were discussed. Abstracts of
the presentations given during the seminar as well as abstracts of
seminar results and ideas are put together in this paper. The first section
describes the seminar topics and goals in general.
Links to extended abstracts or full papers are provided, if available
Exploring the resource recovery potentials of municipal solid waste: a review of solid wastes composting in developing countries
Population explosion, high urbanization and improved living standards have induced rapid changes in quantities and materiacompositions of solid waste generation globally. Until recently solid waste disposal in landfills and open dump sites waconsidered more economical and it is the most widely used methods in developing countries. Hence the potentials in the othealternative methods such as the resource recovery and recycling and their integration into waste management have been scarcelassessed. However, the ever growing challenges posed by the rapidly increasing quantities and compositions of solid wastes ideveloping countries led to the searching for alternative waste disposal methods. In this regard the paper presented an assessmenof the resource potentials of municipal solid waste materials arising from cities in developing countries as a strategy fosustainable solid waste management. Using published data on solid waste composition the paper has identified that there is higpotentials of composting in the solid waste stream from cities in developing countries. In conclusion, it recommended the recoverof organic waste material and papers for composting and the recycling of plastic, metals, textiles and others to explore their resource recovery potentials. This will largely reduce the ultimate quantities of solid waste for disposal and lower the operatincosts. This strategy will achieve sustainable waste management in developing countries. It is hoped that the paper has provided useful guide for wastes management policy decisions in developing countries
Business models to support content commons
The application of conventional, 'scarce resource' economics to content has been
mistaken and harmful. More appropriate forms of economic analysis highlight the
critical role that accessibility to information plays in the process of innovation.
Meanwhile, down at the micro-economic level, there is an all-too-common perception
that open content approaches are unsustainable and bad for business, and reflect
naïve idealism on the part of their proponents. This paper identifies a range of
suitable business models, and thereby demonstrates that the content commons is
sustainable and appropriate for profit-oriented business enterprises
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
Semantic discovery and reuse of business process patterns
Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse
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