4,034 research outputs found
Tracking the History and Evolution of Entities: Entity-centric Temporal Analysis of Large Social Media Archives
How did the popularity of the Greek Prime Minister evolve in 2015? How did
the predominant sentiment about him vary during that period? Were there any
controversial sub-periods? What other entities were related to him during these
periods? To answer these questions, one needs to analyze archived documents and
data about the query entities, such as old news articles or social media
archives. In particular, user-generated content posted in social networks, like
Twitter and Facebook, can be seen as a comprehensive documentation of our
society, and thus meaningful analysis methods over such archived data are of
immense value for sociologists, historians and other interested parties who
want to study the history and evolution of entities and events. To this end, in
this paper we propose an entity-centric approach to analyze social media
archives and we define measures that allow studying how entities were reflected
in social media in different time periods and under different aspects, like
popularity, attitude, controversiality, and connectedness with other entities.
A case study using a large Twitter archive of four years illustrates the
insights that can be gained by such an entity-centric and multi-aspect
analysis.Comment: This is a preprint of an article accepted for publication in the
International Journal on Digital Libraries (2018
Challenges in Bridging Social Semantics and Formal Semantics on the Web
This paper describes several results of Wimmics, a research lab which names
stands for: web-instrumented man-machine interactions, communities, and
semantics. The approaches introduced here rely on graph-oriented knowledge
representation, reasoning and operationalization to model and support actors,
actions and interactions in web-based epistemic communities. The re-search
results are applied to support and foster interactions in online communities
and manage their resources
Divide and Conquer the EmpiRE: A Community-Maintainable Knowledge Graph of Empirical Research in Requirements Engineering
[Background.] Empirical research in requirements engineering (RE) is a
constantly evolving topic, with a growing number of publications. Several
papers address this topic using literature reviews to provide a snapshot of its
"current" state and evolution. However, these papers have never built on or
updated earlier ones, resulting in overlap and redundancy. The underlying
problem is the unavailability of data from earlier works. Researchers need
technical infrastructures to conduct sustainable literature reviews. [Aims.] We
examine the use of the Open Research Knowledge Graph (ORKG) as such an
infrastructure to build and publish an initial Knowledge Graph of Empirical
research in RE (KG-EmpiRE) whose data is openly available. Our long-term goal
is to continuously maintain KG-EmpiRE with the research community to synthesize
a comprehensive, up-to-date, and long-term available overview of the state and
evolution of empirical research in RE. [Method.] We conduct a literature review
using the ORKG to build and publish KG-EmpiRE which we evaluate against
competency questions derived from a published vision of empirical research in
software (requirements) engineering for 2020 - 2025. [Results.] From 570 papers
of the IEEE International Requirements Engineering Conference (2000 - 2022), we
extract and analyze data on the reported empirical research and answer 16 out
of 77 competency questions. These answers show a positive development towards
the vision, but also the need for future improvements. [Conclusions.] The ORKG
is a ready-to-use and advanced infrastructure to organize data from literature
reviews as knowledge graphs. The resulting knowledge graphs make the data
openly available and maintainable by research communities, enabling sustainable
literature reviews.Comment: Accepted for publication at the 17th ACM/IEEE International Symposium
on Empirical Software Engineering and Measurement (ESEM 2023
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