Suchergebnisse

Der Wahlkampf 2005 wird aus der Perspektive der SPD beleuchtet. Im Mittelpunkt des Forschungsinteresses steht die Frage nach den Faktoren, die dazu beigetragen haben, dass die SPD am 18. September 2005 nur denkbar knapp hinter der Union rangierte. In einem ersten Schritt wird es darum gehen, allgemein und auf Basis theoretischer Überlegungen aufzuzeigen, inwiefern Parteimitglieder bei Wahlkampagnen deutscher Parteien von Bedeutung sind. Das anschließende Kapitel widmet sich dann konkret dem SPD-Bundestagswahlkampf 2005. Nach einer Analyse der Ausgangssituation werden die strategischen Leitlinien vorgestellt, die der Arbeit der Wahlkampfverantwortlichen zu Grunde lagen. Entlang dieser Leitlinien wird dann die Umsetzung der SPD-Kampagne auf inhaltlicher, personeller und organisatorischer Ebene detailliert beleuchtet. In diesem Zusammenhang werden Mobilisierungsfaktoren vorgestellt, die dazu geführt haben können, dass es der SPD - insbesondere in der Schlussphase - wider Erwarten gelang, ihre eigene Wählerklientel anzusprechen bzw. daran mitzuwirken, den Zuspruch in der Wählerschaft für den politischen Hauptgegner CDU/CSU zu minimieren. (ICF2)

Acknowledgments -- Contents -- 1: Introduction: The Holobiont Imperative -- 1.1 Of Complex Diseases and Animals as Complex Systems: Why Bacteria Matter -- 1.2 The Complexity of Coevolved Animal Communities Was Discovered in 1877 in Kiel, Germany -- 1.3 Looking for a Term for the Functional Entity Formed by a Host and Its Associated Microbial Symbionts -- References -- 2: Major Events in the Evolution of Planet Earth: Some Origin Stories -- 2.1 Microbes Were First: Bacteria Have Existed from Very Early in the History of Life on Earth

Use Cases Related to an Ontology of the Data Documentation Initiative

Semantic Web Applications for the Social Sciences

For many RDF applications, the formulation of constraints and the automatic validation of data according to these constraints is a much sought-after feature. In 2013, the W3C invited experts from industry, government and academia to the RDF Validation Workshop, where first use cases have been presented and discussed. In collaboration with the W3C, a working group on RDF Application Profiles (RDFAP) is currently established in the Dublin Core Metadata Initiative that follows up on this workshop and addresses among others RDF constraint formulation and validation. In this paper, we present a database of requirements obtained from various sources, including the use cases presented at the workshop as well as in the RDF-AP WG. The database, which is openly available and extensible, is used to evaluate and compare several existing approaches for constraint formulation and validation. We present a classification and analysis of the requirements, show that none of the approaches satisfy all requirements and aim at laying the ground for future work, as well as fostering discussions how to close existing gaps.

Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Series Preface -- Preface -- Contributors -- Chapter 1: When does symbiosis begin? Bacterial cues necessary for metamorphosis in the marine polychaete Hydroides elegans -- 1.1 The symbiosis space -- 1.2 Chemical cues mediate symbiotic interactions -- 1.3 How do specific symbiotic interactions begin? Examples from the pre-symbiosis space -- 1.4 Bacterially induced metamorphosis of marine invertebrate animals -- 1.5 Bacterial induction of metamorphosis in Hydroides elegans -- 1.6 Identification of larval metamorphic cues from biofilm bacteria -- 1.7 How variability of inductive bacteria and identified settlement cues relate to variable larval settlement and recruitment -- 1.8 Lipopolysaccharide mediates both symbiotic and pre-symbiotic interactions -- 1.9 Conclusion -- References -- Chapter 2: The language of symbiosis: Insights from protist biology -- 2.1 Introduction -- 2.2 Cytoplasm as microcosm -- 2.3 Eukaryotes inside eukaryotes (inside other eukaryotes) -- 2.4 Ectosymbiosis: It's a jungle out there -- 2.5 Microbial symbioses: Power struggles in time and space -- 2.6 Conclusion -- Acknowledgments -- References -- Chapter 3: Trichoplax and its bacteria: How many are there? Are they speaking? -- 3.1 Introduction -- 3.2 How many symbionts are known to be present and where do they occur? -- 3.3 Do all placozoans harbor both G. incantans and R. eludens? -- 3.4 Intracellular locations of the placozoan symbionts -- 3.5 Unusual mitochondria in placozoan fiber cells and their possible relationship to symbiosis -- 3.6 Molecular inferences on the nature of the Trichoplax-bacteria symbioses -- 3.7 How are the bacterial symbionts of placozoans transmitted between generations? -- 3.8 Some big questions remaining and suggestions for their resolution -- Acknowledgments.

The process designing domain ontologies from scratch is very time-consuming and is associated
with a lot of effort. In the most cases, domain experts have defined XML Schemas, describing
domain data models, before ontologies have been created. Our idea is to generate ontologies out
of XML Schemas automatically using XSLT transformations in a first step, and to derive domain
ontologies semi-automatically using SWRL rules in a second step. We apply our approach in
order to reuse the information located in the XML Schemas for the design of domain ontologies.
In this paper, we aim to verify the hypothesis, that the effort and the time delivering high quality
domain ontologies using the developed semi-automatic approach is much less than creating domain
ontologies in a completely manual way. We have applied the individual stages of the suggested
approach to multiple different data models in the academic and the industry domain. In
addition to that, we show one complete use case for which the traditional approach designing
domain ontologies manually and the proposed approach have been applied – the DDI-RDF Discovery
Vocabulary, which is an ontology of the social science metadata standard Data Documentation
Initiative.

Linking Study Descriptions to the Linked Open Data Cloud

DDI-RDF Discovery – A Discovery Model for Microdata