Visualizing Gender Balance in Conferences

Data visualization is a powerful tool for digital scholarship yet not without its pitfalls. Based on the dissertation “Visualizing Gender Balance” comparing ten computer science conferences, several visualization techniques and tools undergo a critical review. The dataset underlying the visualizations contains data researchers encounter daily: bibliographic information. Analyzing larger sets of authors writing and publishing for conferences in computer science changes our perception of the gender (im)balance in this academic research area. But only a careful curation and visualization can truly reveal what goes on behind the scenes. Still the more complicated, detailed and nuanced the visualization, the harder it becomes for an untrained eye to interpret the patterns

Ontological Approaches to Modelling Narrative

We outline a simple taxonomy of approaches to modelling narrative, explain how these might be realised ontologically, and describe our continuing work to apply these techniques to the problem of Memories for Life

Towards digital library service integration

Digital Library Service Integration (DLSI) aims to provide a systematic approach in integrating the services and collections of National Science and Digital Library. The National Science and Digital Library collections can share the services among themselves in a totally integrated environinent. Collections as such will require no change to plug into the DLSI architecture. Collections will keep using the services of NSDL in the similar manner as before. These services will in turn pass few parameters to the services of DLSI. With the help of these parameters, wrappers will fetch the details and priority of the users. These wrappers will be using the services of Search and Discovery module, Metadata Management services, and Access Management services. Users will see a totally integrated environment. They will see their digital library system just as before. In addition to that, they will find some extra link anchors on the document. These links serve to provide the supplemental information or arrange the information in the user preferred way. For this matter, the DLSI maintains basic user\u27s information and preferences. Other contributions include incorporating collaborative filtering for customizing large sets of links, and advance lexical analysis tool to identify the objects of interest in a document

EVENTSKG: A 5-Star Dataset of Top-Ranked Events in Eight Computer Science Communities

Metadata of scientific events has become increasingly available on the Web, albeit often as raw data in various formats, disregarding its semantics and interlinking relations. This leads to restricting the usability of this data for, e.g., subsequent analyses and reasoning. Therefore, there is a pressing need to represent this data in a semantic representation, i.e., Linked Data. We present the new release of the EVENTSKG dataset, comprising comprehensive semantic descriptions of scientific events of eight computer science communities. Currently, EVENTSKG is a 5-star dataset containing metadata of 73 top-ranked event series (almost 2,000 events) established over the last five decades. The new release is a Linked Open Dataset adhering to an updated version of the Scientific Events Ontology, a reference ontology for event metadata representation, leading to richer and cleaner data. To facilitate the maintenance of EVENTSKG and to ensure its sustainability, EVENTSKG is coupled with a Java API that enables users to add/update events metadata without going into the details of the representation of the dataset. We shed light on events characteristics by analyzing EVENTSKG data, which provides a flexible means for customization in order to better understand the characteristics of renowned CS events

Academic writing and publishing beyond documents

Research on writing tools stopped in the late 1980s when Microsoft Word had achieved monopoly status. However, the development of the Web and the advent of mobile devices are increasingly rendering static print-like documents obsolete. In this vision paper we reflect on the impact of this development on scholarly writing and publishing. Academic publications increasingly include dynamic elements, e.g., code, data plots, and other visualizations, which clearly requires other tools for document production than traditional word processors. When the printed page no longer is the desired final product, content and form can be addressed explicitly and separately, thus emphasizing the structure of texts rather than the structure of documents. The resulting challenges have not yet been fully addressed by document engineering

A ecologia como fundamento para o desenho da paisagem. Caso de estudo - Parque urbano da Ribeira dos Mochos

Mestrado em Arquitectura Paisagista - Instituto Superior de AgronomiaThe growing urbanization and its peak in the 60/70 (sixties and seventies) left behind some concerns among which the correct form of landscape design and its aspects assumes a substantial part. The demand for construction quantity ignored several concerns about the urban environment quality. The overflowing occupation of urban landscape creates a great and undelayable need to transform the unoccupied spaces in service for the communities. The foundation of any project is made of the several sciences related to the physical world. Such knowledge was made aware from its significant interventions on the landscape. Today we go further besides the aesthetics that were, once before, a matter of major focus. In this thesis it is intended to demonstrate that based on a methodology, based in social and ecological sciences and knowledge, it is possible to design a landscape considering the community needs and respecting the social and ecological processes. In this context it was followed Carl Steinitz methodology in order to plan the Parque Urbano da Ribeira dos Mochos in a more ecological and social way

Writing Tools: Looking Back to Look Ahead

Research on writing tools started with the increased availability of computers in the 1970s. After a first phase addressing the needs of programmers and data scientists, research in the late 1980s started to focus on writing-specific needs. Several projects aimed at supporting writers and letting them concentrate on the creative aspects of writing by having the writing tool take care of the mundane aspects using NLP techniques. Due to technical limitations at that time the projects failed and research in this area stopped. However, today's computing power and NLP resources make the ideas from these projects technically feasible; in fact, we see projects explicitly continuing from where abandoned projects stopped, and we see new applications integrating NLP resources without making references to those old projects. To design intelligent writing assistants with the possibilities offered by today's technology, we should re-examine the goals and lessons learned from previous projects to define the important dimensions to be considered.Comment: Final version of the position paper to participate in the Second Workshop on Intelligent and Interactive Writing Assistants (colocated with the ACM CHI Conference on Human Factors in Computing Systems (CHI 2023) in Hamburg

Scholarly event characteristics in four fields of science : a metrics-based analysis

One of the key channels of scholarly knowledge exchange are scholarly events such as conferences, workshops, symposiums, etc.; such events are especially important and popular in Computer Science, Engineering, and Natural Sciences.However, scholars encounter problems in finding relevant information about upcoming events and statistics on their historic evolution.In order to obtain a better understanding of scholarly event characteristics in four fields of science, we analyzed the metadata of scholarly events of four major fields of science, namely Computer Science, Physics, Engineering, and Mathematics using Scholarly Events Quality Assessment suite, a suite of ten metrics.In particular, we analyzed renowned scholarly events belonging to five sub-fields within Computer Science, namely World Wide Web, Computer Vision, Software Engineering, Data Management, as well as Security and Privacy.This analysis is based on a systematic approach using descriptive statistics as well as exploratory data analysis. The findings are on the one hand interesting to observe the general evolution and success factors of scholarly events; on the other hand, they allow (prospective) event organizers, publishers, and committee members to assess the progress of their event over time and compare it to other events in the same field; and finally, they help researchers to make more informed decisions when selecting suitable venues for presenting their work.Based on these findings, a set of recommendations has been concluded to different stakeholders, involving event organizers, potential authors, proceedings publishers, and sponsors. Our comprehensive dataset of scholarly events of the aforementioned fields is openly available in a semantic format and maintained collaboratively at OpenResearch.org. © 2020, The Author(s)