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. All the summaries are stored in the WikiSummarizer knowledge base.
In fact when we are summarizing, we are zipping through the whole content, homing in on the important chunks. With the ability to summarize web pages everybody can become an instant speed reader. Yes. Eradec.teluq.uquebec.ca/IMG/pdf/Connaissance_et_information-vfin-5.pdf. 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 Lashley's Sentence Late Assignment of Syntax (LAST) Examples of LAST (1) Examples of LAST (2) LAST is a Hybrid Model Thinking involves manipulating symbols in a particular manner. – mental representations that possess meaning or stand for mental objects – the formal manner of manipulating symbols – a series of abstract computational steps This approach is found in explanations of language, reasoning, problem solving, and vision, and it appears in the form of logic, rules, concepts, analogies, and images.
For example, there is a rule for making questions: To make a -question about an object, put a -word at the front, add , remove the tense information from the verb, and delete the object. \-/ vs back to top There is no need to suppose that the mind manipulates symbols. – a network of simple processing units that are meaning.
The Problem With The Semantic Web: Usability. 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. For a long time (longer than I have worked on the Semantic Web) I have wanted to build systems that work on users’ behalf. Like this: Like Loading... 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. It was taken down from the public web in 2012. Faceted Search DBpedia Search implements the faceted search paradigm. The User Interface The user interface consists of several interacting components, which are highlighted in the following screenshot and described below. Background. 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? 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. It can even be called from remote to access a specific dataset and/or certain objects. The RelFinder can also be more deeply integrated with your project: Integrating the RelFinder See the following examples of how the RelFinder is integrated into other projects: Ontotext applies the RelFinder to enable an exploration of relationships in the biomedical domain. 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.
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 Information Concepts: From Books to Cyberspace Identities. 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 . Raw analysis data is available at the initial survey page .
Other resources W3C maintains a list of Semantic Web Tools and various others exists, such as the Developers Guide to Semantic Web Toolkits and the Comprehensive Listing of Semantic Web and Related Tools by Michael K. Analysis of Systems (inProgress) We have started compiling a list of systems that provide access to semantic web data through a graphical user interface. Example Search phase Feature Functionality Interface Components Query construction Text.
L’apport du Web sémantique à la recherche d’informations. Fabien Gandon’s Presentations on SlideShare. Sweet Tools. Breakthrough Analysis: Two + Nine Types of Semantic Search -- 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. Join the two and you get semantic search, in essence, search made smarter, search that seeks to boost accuracy by taming ambiguity via an understanding of context. 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.
I've come up with a list of eleven approaches that join semantics to search: my two Bing-ers plus nine more. Related searches/queries. Www.succeed-together.eu/images/divers/TER_M1_2008Nithida.pdf.