<?xml version="1.0" encoding="UTF-8"?><feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
<title>Band 34 - Heft 5 (Oktober 2011)</title>
<link href="http://dl.gi.de/handle/20.500.12116/16046" rel="alternate"/>
<subtitle/>
<id>http://dl.gi.de/handle/20.500.12116/16046</id>
<updated>2026-07-22T22:58:36Z</updated>
<dc:date>2026-07-22T22:58:36Z</dc:date>
<entry>
<title>The Semantic Web: Collective Intelligence on the Web</title>
<link href="http://dl.gi.de/handle/20.500.12116/9472" rel="alternate"/>
<author>
<name>Janik, Maciej</name>
</author>
<author>
<name>Scherp, Ansgar</name>
</author>
<author>
<name>Staab, Steffen</name>
</author>
<id>http://dl.gi.de/handle/20.500.12116/9472</id>
<updated>2019-04-01T15:46:52Z</updated>
<published>2011-01-01T00:00:00Z</published>
<summary type="text">The Semantic Web: Collective Intelligence on the Web
Janik, Maciej; Scherp, Ansgar; Staab, Steffen
The World Wide Web has turned hypertext into a success story by enabling world-wide sharing of unstructured information and informal knowledge. The Semantic Web targets the sharing of structured information and formal knowledge pursuing objectives of achieving collective intelligence on the Web. Germane to the structure of the Semantic Web is a layering and standardization of concerns. These concerns are reflected by an architecture of the Semantic Web that we present through a common use case. Semantic Web data for the use case is now found on the Web and is part of a quickly growing set of Semantic Web resources available for formal processing.
</summary>
<dc:date>2011-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>AuthorSupportTool – besser wissenschaftlich arbeiten</title>
<link href="http://dl.gi.de/handle/20.500.12116/9462" rel="alternate"/>
<author>
<name>Bothe, Steffen</name>
</author>
<author>
<name>Dardagan, Ali Ayhan</name>
</author>
<author>
<name>Ermler, Marcus</name>
</author>
<author>
<name>Fehrmann, Patrick</name>
</author>
<author>
<name>Jahn, Christoph</name>
</author>
<author>
<name>Nana, Marshall</name>
</author>
<author>
<name>Richter, Vitali</name>
</author>
<author>
<name>Vollmer, Benjamin</name>
</author>
<id>http://dl.gi.de/handle/20.500.12116/9462</id>
<updated>2019-04-01T15:46:52Z</updated>
<published>2011-01-01T00:00:00Z</published>
<summary type="text">AuthorSupportTool – besser wissenschaftlich arbeiten
Bothe, Steffen; Dardagan, Ali Ayhan; Ermler, Marcus; Fehrmann, Patrick; Jahn, Christoph; Nana, Marshall; Richter, Vitali; Vollmer, Benjamin
Wie unterstützt man den Schreibprozess einer wissenschaftlichen Arbeit mit modernen Textverarbeitungssystemen? Einige Antworten auf diese Frage sind im AuthorSupportTool implementiert, das eine Erweiterung für den OpenOffice.org 3 Writer darstellt. Hauptmerkmale des AuthorSupportTools sind eine Quellen- und Zitatverwaltung, eine Versionsverwaltung zur Unterstützung kooperativer Arbeit sowie ein grafischer Editor mit Mindmap-Funktion, um Themen, Notizen und Querverbindungen zu verwalten.
</summary>
<dc:date>2011-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Die Vorstandskolumne</title>
<link href="http://dl.gi.de/handle/20.500.12116/9474" rel="alternate"/>
<author>
<name/>
</author>
<id>http://dl.gi.de/handle/20.500.12116/9474</id>
<updated>2019-04-01T15:46:52Z</updated>
<published>2011-01-01T00:00:00Z</published>
<summary type="text">Die Vorstandskolumne
</summary>
<dc:date>2011-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>AI Approaches to Cognitive Systems – The Example of Spatial Cognition</title>
<link href="http://dl.gi.de/handle/20.500.12116/9468" rel="alternate"/>
<author>
<name>Nebel, Bernhard</name>
</author>
<author>
<name>Freksa, Christian</name>
</author>
<id>http://dl.gi.de/handle/20.500.12116/9468</id>
<updated>2019-04-01T15:46:52Z</updated>
<published>2011-01-01T00:00:00Z</published>
<summary type="text">AI Approaches to Cognitive Systems – The Example of Spatial Cognition
Nebel, Bernhard; Freksa, Christian
Cognitive abilities can be studied by observing and interpreting natural systems or by developing artificial systems that interact with their environments in intelligent ways. Cognitive systems research connects both approaches. Typically, human requirements are in the focus of interest and systems are developed to interact with humans in as natural a way as possible. To achieve this goal, a deep understanding of human cognition is required. The present paper focuses on spatial cognition, i. e. the ability to perceive and conceive spatial environments and solve spatial tasks intelligently. It discusses artificial intelligence approaches to spatial cognition for supporting human activities.
</summary>
<dc:date>2011-01-01T00:00:00Z</dc:date>
</entry>
</feed>
