69,605 research outputs found
Proceedings of the 15th Conference on Knowledge Organization WissOrg'17 of theGerman Chapter of the International Society for Knowledge Organization (ISKO),30th November - 1st December 2017, Freie Universität Berlin
Wissensorganisation is the name of a series of biennial conferences /
workshops with a long tradition, organized by the German chapter of the
International Society of Knowledge Organization (ISKO). The 15th conference in
this series, held at Freie Universität Berlin, focused on knowledge
organization for the digital humanities. Structuring, and interacting with,
large data collections has become a major issue in the digital humanities. In
these proceedings, various aspects of knowledge organization in the digital
humanities are discussed, and the authors of the papers show how projects in
the digital humanities deal with knowledge organization.Wissensorganisation ist der Name einer Konferenzreihe mit einer langjährigen
Tradition, die von der Deutschen Sektion der International Society of
Knowledge Organization (ISKO) organisiert wird. Die 15. Konferenz dieser
Reihe, die an der Freien Universität Berlin stattfand, hatte ihren Schwerpunkt
im Bereich Wissensorganisation und Digital Humanities. Die Strukturierung von
und die Interaktion mit großen Datenmengen ist ein zentrales Thema in den
Digital Humanities. In diesem Konferenzband werden verschiedene Aspekte der
Wissensorganisation in den Digital Humanities diskutiert, und die Autoren der
einzelnen Beiträge zeigen, wie die Digital Humanities mit Wissensorganisation
umgehen
Evolutionary Subject Tagging in the Humanities; Supporting Discovery and Examination in Digital Cultural Landscapes
In this paper, the authors attempt to identify problematic issues for subject tagging in the humanities, particularly those associated with information objects in digital formats. In the third major section, the authors identify a number of assumptions that lie behind the current practice of subject classification that we think should be challenged. We move then to propose features of classification systems that could increase their effectiveness. These emerged as recurrent themes in many of the conversations with scholars, consultants, and colleagues. Finally, we suggest next steps that we believe will help scholars and librarians develop better subject classification systems to support research in the humanities.NEH Office of Digital Humanities: Digital Humanities Start-Up Grant (HD-51166-10
A Conceptual Model for Scholarly Research Activity
This paper presents a conceptual model for scholarly research
activity, developed as part of the conceptual modelling work
within the ???Preparing DARIAH??? European e-Infrastructures
project. It is inspired by cultural-historical activity theory,
and is expressed in terms of the CIDOC Conceptual Reference
Model, extending its notion of activity so as to also
account, apart from historical practice, for scholarly research
planning. It is intended as a framework for structuring and
analyzing the results of empirical research on scholarly practice
and information requirements, encompassing the full
research lifecycle of information work and involving both
primary evidence and scholarly objects; also, as a framework
for producing clear and pertinent information requirements,
and specifications of digital infrastructures, tools and services
for scholarly research. We plan to use the model to tag interview
transcripts from an empirical study on scholarly information
work, and thus validate its soundness and fitness for
purpose
Methodological Approaches to Modeling Information Architecture of the Organization in the Conditions of Digital Economy
It is significant for businesses, especially in the digital economy, the solution of theoretical and methodological justifications and the development of practical recommendations for building an organization\u27s information architecture as a holistic description of its key strategies, related to business, information, application systems and technologies, and also their impact on the functions and business processes of an organization.
The article discusses issues, related to methodological approaches to modeling an organization\u27s information architectureб using information management tools to help manage innovation in information systems (IS) and information technologies (IT). The relevance of organizational provisions to determine the way, in which a business entity\u27s business model is functionally integrated with the IS architecture is substantiated. The consideration and analysis of the use of industrial standards for describing the architecture of an organization, adopted by such institutions as the International Organization for Standardization (ISO), The Open Group, Institute of Electrical and Electronics Engineers (IEEE), etc. reveal that none of these standards is dominant and does not provide teams, responsible for the architecture development with all the tools, necessary from the methodological point of view and from the point of view of the templates, used to describe the architecture. Recommendations are given on the theoretical and methodological substantiation and construction of the information architecture of an organization as a complete description of its key strategies related to business, information, application systems and technologies, as well as their impact on the functions and business processes of an organization
Entities as topic labels: Improving topic interpretability and evaluability combining Entity Linking and Labeled LDA
In order to create a corpus exploration method providing topics that are
easier to interpret than standard LDA topic models, here we propose combining
two techniques called Entity linking and Labeled LDA. Our method identifies in
an ontology a series of descriptive labels for each document in a corpus. Then
it generates a specific topic for each label. Having a direct relation between
topics and labels makes interpretation easier; using an ontology as background
knowledge limits label ambiguity. As our topics are described with a limited
number of clear-cut labels, they promote interpretability, and this may help
quantitative evaluation. We illustrate the potential of the approach by
applying it in order to define the most relevant topics addressed by each party
in the European Parliament's fifth mandate (1999-2004).Comment: in Proceedings of Digital Humanities 2016, Krako
Overview on agent-based social modelling and the use of formal languages
Transdisciplinary Models and Applications investigates a variety of programming languages used in validating and verifying models in order to assist in their eventual implementation. This book will explore different methods of evaluating and formalizing simulation models, enabling computer and industrial engineers, mathematicians, and students working with computer simulations to thoroughly understand the progression from simulation to product, improving the overall effectiveness of modeling systems.Postprint (author's final draft
Classical Logical versus Quantum Conceptual Thought: Examples in Economics, Decision theory and Concept Theory
Inspired by a quantum mechanical formalism to model concepts and their
disjunctions and conjunctions, we put forward in this paper a specific
hypothesis. Namely that within human thought two superposed layers can be
distinguished: (i) a layer given form by an underlying classical deterministic
process, incorporating essentially logical thought and its indeterministic
version modeled by classical probability theory; (ii) a layer given form under
influence of the totality of the surrounding conceptual landscape, where the
different concepts figure as individual entities rather than (logical)
combinations of others, with measurable quantities such as 'typicality',
'membership', 'representativeness', 'similarity', 'applicability', 'preference'
or 'utility' carrying the influences. We call the process in this second layer
'quantum conceptual thought', which is indeterministic in essence, and contains
holistic aspects, but is equally well, although very differently, organized
than logical thought. A substantial part of the 'quantum conceptual thought
process' can be modeled by quantum mechanical probabilistic and mathematical
structures. We consider examples of three specific domains of research where
the effects of the presence of quantum conceptual thought and its deviations
from classical logical thought have been noticed and studied, i.e. economics,
decision theory, and concept theories and which provide experimental evidence
for our hypothesis.Comment: 14 page
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