18,149 research outputs found
Business Process Retrieval Based on Behavioral Semantics
This paper develops a framework for retrieving business processes considering search requirements based on behavioral semantics properties; it presents a framework called "BeMantics" for retrieving business processes based on structural, linguistics, and behavioral semantics properties. The relevance of the framework is evaluated retrieving business processes from a repository, and collecting a set of relevant business processes manually issued by human judges. The "BeMantics" framework scored high precision values (0.717) but low recall values (0.558), which implies that even when the framework avoided false negatives, it prone to false positives. The highest pre- cision value was scored in the linguistic criterion showing that using semantic inference in the tasks comparison allowed to reduce around 23.6 % the number of false positives. Using semantic inference to compare tasks of business processes can improve the precision; but if the ontologies are from narrow and specific domains, they limit the semantic expressiveness obtained with ontologies from more general domains. Regarding the perform- ance, it can be improved by using a filter phase which indexes business processes taking into account behavioral semantics propertie
Domain-specific queries and Web search personalization: some investigations
Major search engines deploy personalized Web results to enhance users'
experience, by showing them data supposed to be relevant to their interests.
Even if this process may bring benefits to users while browsing, it also raises
concerns on the selection of the search results. In particular, users may be
unknowingly trapped by search engines in protective information bubbles, called
"filter bubbles", which can have the undesired effect of separating users from
information that does not fit their preferences. This paper moves from early
results on quantification of personalization over Google search query results.
Inspired by previous works, we have carried out some experiments consisting of
search queries performed by a battery of Google accounts with differently
prepared profiles. Matching query results, we quantify the level of
personalization, according to topics of the queries and the profile of the
accounts. This work reports initial results and it is a first step a for more
extensive investigation to measure Web search personalization.Comment: In Proceedings WWV 2015, arXiv:1508.0338
Mapping bilateral information interests using the activity of Wikipedia editors
We live in a global village where electronic communication has eliminated the
geographical barriers of information exchange. The road is now open to
worldwide convergence of information interests, shared values, and
understanding. Nevertheless, interests still vary between countries around the
world. This raises important questions about what today's world map of in-
formation interests actually looks like and what factors cause the barriers of
information exchange between countries. To quantitatively construct a world map
of information interests, we devise a scalable statistical model that
identifies countries with similar information interests and measures the
countries' bilateral similarities. From the similarities we connect countries
in a global network and find that countries can be mapped into 18 clusters with
similar information interests. Through regression we find that language and
religion best explain the strength of the bilateral ties and formation of
clusters. Our findings provide a quantitative basis for further studies to
better understand the complex interplay between shared interests and conflict
on a global scale. The methodology can also be extended to track changes over
time and capture important trends in global information exchange.Comment: 11 pages, 3 figures in Palgrave Communications 1 (2015
Pioneers, subcultures and cooperatives: The grassroots augmentation of urban places
About the book:
There have been numerous possible scenarios depicted on the impact of the internet on urban spaces. Considering ubiquitous/pervasive computing, mobile, wireless connectivity and the acceptance of the Internet as a non extraordinary part of our everyday lives mean that physical urban space is augmented, and digital in itself. This poses new problems as well as opportunities to those who have to deal with it.
This book explores the intersection and articulation of physical and digital environments and the ways they can extend and reshape a spirit of place. It considers this from three main perspectives: the implications for the public sphere and urban public or semi-public spaces; the implications for community regeneration and empowerment; and the dilemmas and challenges which the augmentation of space implies for urbanists. Grounded with international real -life case studies, this is an up-to-date, interdisciplinary and holistic overview of the relationships between cities, communities and high technologies
Beyond opening up the black box: Investigating the role of algorithmic systems in Wikipedian organizational culture
Scholars and practitioners across domains are increasingly concerned with
algorithmic transparency and opacity, interrogating the values and assumptions
embedded in automated, black-boxed systems, particularly in user-generated
content platforms. I report from an ethnography of infrastructure in Wikipedia
to discuss an often understudied aspect of this topic: the local, contextual,
learned expertise involved in participating in a highly automated
social-technical environment. Today, the organizational culture of Wikipedia is
deeply intertwined with various data-driven algorithmic systems, which
Wikipedians rely on to help manage and govern the "anyone can edit"
encyclopedia at a massive scale. These bots, scripts, tools, plugins, and
dashboards make Wikipedia more efficient for those who know how to work with
them, but like all organizational culture, newcomers must learn them if they
want to fully participate. I illustrate how cultural and organizational
expertise is enacted around algorithmic agents by discussing two
autoethnographic vignettes, which relate my personal experience as a veteran in
Wikipedia. I present thick descriptions of how governance and gatekeeping
practices are articulated through and in alignment with these automated
infrastructures. Over the past 15 years, Wikipedian veterans and administrators
have made specific decisions to support administrative and editorial workflows
with automation in particular ways and not others. I use these cases of
Wikipedia's bot-supported bureaucracy to discuss several issues in the fields
of critical algorithms studies, critical data studies, and fairness,
accountability, and transparency in machine learning -- most principally
arguing that scholarship and practice must go beyond trying to "open up the
black box" of such systems and also examine sociocultural processes like
newcomer socialization.Comment: 14 pages, typo fixed in v
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