629 research outputs found
Ontology Merging with Formal Concept Analysis
No full textIn this short paper, we summarize two methods for merging ontologies: FCA-Merge and OntEx. Both methods are based on Formal Concept Analysis
Social Web Communities
No full textBlogs, Wikis, and Social Bookmark Tools have rapidly emerged onthe Web. The reasons for their immediate success are that people are happy to share information, and that these tools provide an infrastructure for doing so without requiring any specific skills. At the moment, there exists no foundational research for these systems, and they provide only very simple structures for organising knowledge. Individual users create their own structures, but these can currently not be exploited for knowledge sharing. The objective of the seminar was to provide theoretical foundations for upcoming Web 2.0 applications and to investigate further applications that go beyond bookmark- and file-sharing.
The main research question can be summarized as follows: How will current and emerging resource sharing systems support users to leverage more knowledge and power from the information they share on Web 2.0 applications? Research areas like Semantic Web, Machine Learning, Information Retrieval, Information Extraction, Social Network Analysis, Natural Language Processing, Library and Information Sciences, and Hypermedia Systems have been working for a while on these questions. In the workshop, researchers from these areas came together to assess the state of the art and to set up a road map describing the next steps
towards the next generation of social software
Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies
No full textCimiano P, Stumme G, Hotho A, Tane J. Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies. In: Eklund PW, ed. Concept Lattices, Second International Conference on Formal Concept Analysis, ICFCA 2004, Sydney, Australia, February 23-26, 2004, Proceedings. Lecture Notes in Computer Science, 2961. Springer; 2004: 189-207
08391 Abstracts Collection – Social Web Communities
No full textFrom September 21st to September 26th 2008, the Dagstuhl Seminar 08391 ``Social Web Communities'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. 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
08391 Executive Summary – Social Web Communities
No full textBlogs, Wikis, and Social Bookmark Tools have rapidly emerged on
the Web. The reasons for their immediate success are that people are happy to
share information, and that these tools provide an infrastructure for doing so
without requiring any specific skills. At the moment, there exists no foundational
research for these systems, and they provide only very simple structures for organising
knowledge. Individual users create their own structures, but these can
currently not be exploited for knowledge sharing. The objective of the seminar
was to provide theoretical foundations for upcoming Web 2.0 applications and to
investigate further applications that go beyond bookmark- and file-sharing.
The main research question can be summarized as follows: How will current and
emerging resource sharing systems support users to leverage more knowledge
and power from the information they share on Web 2.0 applications? Research
areas like Semantic Web, Machine Learning, Information Retrieval, Information
Extraction, Social Network Analysis, Natural Language Processing, Library and
Information Sciences, and Hypermedia Systems have been working for a while
on these questions. In the workshop, researchers from these areas came together
to assess the state of the art and to set up a road map describing the next steps
towards the next generation of social software
Towards Ordinal Data Science
No full textOrder is one of the main instruments to measure the relationship between
objects in (empirical) data. However, compared to methods that use numerical
properties of objects, the amount of ordinal methods developed is rather small.
One reason for this is the limited availability of computational resources in
the last century that would have been required for ordinal computations.
Another reason -- particularly important for this line of research -- is that
order-based methods are often seen as too mathematically rigorous for applying
them to real-world data. In this paper, we will therefore discuss different
means for measuring and 'calculating' with ordinal structures -- a specific
class of directed graphs -- and show how to infer knowledge from them. Our aim
is to establish Ordinal Data Science as a fundamentally new research agenda.
Besides cross-fertilization with other cornerstone machine learning and
knowledge representation methods, a broad range of disciplines will benefit
from this endeavor, including, psychology, sociology, economics, web science,
knowledge engineering, scientometrics.Comment: 40 pages, 7 figures, Transactions on Graph Data and Knowledge (TGDK
08391 Group Summary – The Evolution and Dynamics of Research Networks
No full textExisting collaboration and innovation in scientific communities can be enhanced by understanding the underlying patterns und hidden relations. Social network analysis is an appropriate method to reveal such patterns. Nevertheless, research in this area is mainly focused on social networks. One promising approach is to use homophily networks as well. Furthermore, extending the static to a dynamic network model enables to understand existing interdependencies in these networks. A mathematical description of possible analyses is given. Finally, resulting research questions are illustrated and the necessity of an interdisciplinary research approach is pointed out
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