background preloader


Facebook Twitter

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. It highlights the major points from the much longer article. The purpose is to help the reader to quickly get the essential points in a short period of time. WikiSummarizer automatically summarizes the Wikipedia articles. The blending of visualization with summarization, knowledge browsing, mind mapping provides you with a wide range of means to explore relevant content. 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 Problems with Associative Models. The Problem With The Semantic Web: Usability.

Check out Duane Degler’s presentation User Interfaces for the Semantic Web.

The Problem With The Semantic Web: Usability

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. 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?”

Faceted Search

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 DBpedia Search implements the faceted search paradigm. The User Interface. Visual Data Web - Visually Experiencing the Data Web. Moteur-de-recherche. RelFinder - Visual Data Web. Are you interested in how things are related with each other?

RelFinder - Visual Data Web

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: Applications. Synthesis Lectures on Information Concepts, Retrieval, and Services. 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.

Synthesis Lectures on Information Concepts, Retrieval, and Services

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. The scope will largely follow the purview of premier information and computer science conferences, such as ASIST, ACM SIGIR, ACM/IEEE JCDL, and ACM CIKM. Series ISSN: 1947-945X (print) 1947-9468 (electronic) For related titles, please see our series in Data ManagementHuman Language Technologies Lectures available online What is RSS? Digital Library Technologies: Complex Objects, Annotation, Ontologies, Classification, Extraction, and Security. 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. The generic characteristics of the analyzed systems and links to related papers and demos are listed on the systems overview page . Other resources. L’apport du Web sémantique à la recherche d’informations. Fabien Gandon’s Presentations on SlideShare. Sweet Tools. InformationWeekBreakthrough Analysis: Two + Nine Types of Semantic Search - software Blog. 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. Both apply data-structuring techniques to make information more findable and usable. Semantic search is still in a definitional phase, "on its way! " Semantics (in an IT setting) is meaningful computing: the application of natural language processing (NLP) to support information retrieval, analytics, and data-integration that compass both numerical and "unstructured" information.