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WikiSummarizer WikiSummarizer is a Web-based application specializing in automatic summarization of Wikipedia articles. Automatic summarization is the creation of a shortened version of a text by a computer program. The result is a summary that presents the most important points of the original text. A summary is a shorter version of the original information. WikiSummarizer
THE SYMBOLIC APPROACH THE SYMBOLIC APPROACH {*style:<b>Chapter 1. The Sentence as a Case Study in Cognitive Science </b>*} The Symbolic Approach The Connectionist Approach Origins of Connectionsim
Check out Duane Degler’s presentation User Interfaces for the Semantic Web. In skimming it, I came across this quote from semantic web guru Ora Lassila, which comes from his blog post Semantic Web Soul Searching: After 10+ years of work into various aspects of the Semantic Web and its constituent technologies, I am now fully convinced (read: no longer in denial) that most of the remaining challenges to realize the Semantic Web vision have nothing to do with the underlying technologies involving data, ontologies, reasoning, etc. Instead, it all comes down to user interfaces and usability. Somehow, I repeatedly run into a situation where some use of Semantic Web technologies that would make a nice end-user application is “blocked” by the fact that the user interface is the real challenge. The Problem With The Semantic Web: Usability The Problem With The Semantic Web: Usability
French stopwords
Faceted Search Faceted Wikipedia Search allowed users to ask complex queries, like “Which Rivers flow into the Rhine and are longer than 50 kilometers?” or “Which Skyscrapers in China have more than 50 floors and have been constructed before the year 2000?” against Wikipedia. The answers to these queries are not generated using key word matching as the answers of search engines like Google or Yahoo, but are generated based on structured information that has been extracted from many different Wikipedia articles. Faceted Wikipedia Search thus allows you to query Wikipedia like a structured database and enables you to truly exploit Wikipedia’s collective intelligence. Unfortunately, the application cannot be offered any more. Faceted Search
Visual Data Web - Visually Experiencing the Data Web This website provides an overview of our attempts to a more visual Data Web. The term Data Web refers to the evolution of a mainly document-centric Web toward a more data-oriented Web. In its narrow sense, the term describes pragmatic approaches of the Semantic Web, such as RDF and Linked Data. In a broader sense, it also includes less formal data structures, such as microformats, microdata, tagging, and folksonomies. The term Visual Data Web reflects our goal of making the Data Web visually more experienceable, also for average Web users with little to no knowledge about the underlying technologies. This website presents developments, related publications, and current activities to generate new ideas, methods, and tools that help making the Data Web easier accessible, more visible, and thus more attractive. Visual Data Web - Visually Experiencing the Data Web
Moteur-de-recherche Moteur-de-recherche Qui suis-je ? Christian Fauré Hypomnemata : supports de mémoire Moteur-de-recherche Search Engine Optimization & Linked data by Christian on 25 mars, 2010

RelFinder - Visual Data Web

RelFinder - Visual Data Web Are you interested in how things are related with each other? The RelFinder helps to get an overview: It extracts and visualizes relationships between given objects in RDF data and makes these relationships interactively explorable. Highlighting and filtering features support visual analysis both on a global and detailed level. The RelFinder is based on the open source framework Adobe Flex, easy-to-use and works with any RDF dataset that provides standardized SPARQL access. Check out the following links for some examples: The RelFinder can easily be configured to work with different RDF datasets.
Applications This page lists a number of applications (in no particular order) to get you started using DBpedia: Faceted Browsers Faceted Wikipedia Search – allows you to explore Wikipedia via a faceted browsing interface. Applications
Lectures available online | Lectures under development Editor Gary Marchionini, University of North Carolina at Chapel Hill Annual Subscription Pricing for this Series Synthesis Lectures on Information Concepts, Retrieval, and Services is edited by Gary Marchionini of the University of North Carolina. The series will publish 50- to 100-page publications on topics pertaining to information science and applications of technology to information discovery, production, distribution, and management. Morgan & Claypool Publishers - Synthesis Lectures on Information Concepts, Retrieval, and Services Morgan & Claypool Publishers - Synthesis Lectures on Information Concepts, Retrieval, and Services
Semantic Search Survey - SWUIWiki Semantic Search Survey - SWUIWiki From SWUIWiki Hildebrand et al. are conducting a survey on the role of semantics in current end user search applications. An analysis of this survey is described in [1] . On this Wiki we would like to maintain and extend the survey. In addition, we are compiling a common vocabulary of terms (including definitions) that are applicable to semantic search.
L’apport du Web sémantique à la recherche d’informations
Fabien Gandon’s Presentations on SlideShare
Sweet Tools
There's more to it than offering related results. Here are 11 approaches that join semantics to search. Semantics is hot, but only in a geeky sort of way. Contrast with search, which long ago shed its geeky image to become the Web's #1 utility. Search and semantics have similar goals and rely on similar technologies. Breakthrough Analysis: Two + Nine Types of Semantic Search -- InformationWeekBreakthrough Analysis: Two + Nine Types of Semantic Search - software Blog