Group items tagged

"The Web puzzle of online information resources often hinders end-users from effective and efficient access to these resources. Clustering resources into appropriate subject-based groupings may help alleviate these difficulties, but will it work with heterogeneous material? The University of Michigan and the University of California Irvine joined forces to test automatically enhancing metadata records using the Topic Modeling algorithm on the varied OAIster corpus. We created labels for the resulting clusters of metadata records, matched the clusters to an in-house classification system, and developed a prototype that would showcase methods for search and retrieval using the enhanced records. Results indicated that while the algorithm was somewhat time-intensive to run and using a local classification scheme had its drawbacks, precise clustering of records was achieved and the prototype interface proved that faceted classification could be powerful in helping end-users find resources. "

"permet de visualiser en un coup d'oeil et quelques clics les résultats de Google et d'Amazon en les regroupant par thématique (clusters). Objectifs : - pouvoir déterminer quels est l'étendue de votre notoriété ; - repérer les sites ou ressources web pouvant diffuser un buzz (négatif ou de votre création) ; - repérer les relais d'opinion pour votre organisation ou votre marque ; - pouvoir créer des liens entre des sites qui n'en ont pas encore ; - comme tout moteur de recherche : découvrir des nouvelles sources."

"Cluuz is a next generation search engine platform that returns better results then traditional engines by going beyond simply listing links. Cluuz patent pending core technology, understands the relationship between the entities and terms searched leading to more relevant, easy to understand search results. Cluuz peers into the searched web pages and documents, extracts important terms, clusters them and displays them in chart format (semantic graph). The Cluuz search engine and Cluuz enterprise can tackle structured and unstructured data, alike. See for yourself at www.cluuz.com"

"Web Search engines most often operate on the idea that their tools are supposed to represent the fastest way between a user's search query and a site that will represent a fitting information content to satisfy a "information need". The main challenge is therefore about building ranking algorithms that will find the "best" site and put it into first place. While this approach has been highly successful it also neglects the user's ability to interact, select, navigate, analyze - in short, to be an active agent and a stakeholder in the search process. Our proposal is the technical manifestation of a simple concept: instead of reducing the search phase to a minimum we believe that there is much to be gained by presenting a semantically rich interface to users; this interface can be used to either navigate in a list of results (1000 in the case of our current prototype) or to refine the search query. The "termcloud" and "cluster" views give a quick overview of a topic by showing which terms are significant, their relative frequency and the relations that exist between them. This way the user gets an idea of the topic before even visiting a Web site from the result list. We hope that this approach will help users in digging deeper than the first couple of results and explore the regions of the Web that might not be so easy to find with a regular, hit-driven search engine."

"Cluuz.com takes results and applies semantic processes to them. Some of the company's display options are a bit too sophisticated for my 64-year-young eyes, but I found the system quite useful. (...) The system offers other ways to view the results set. For example, you can look at hits from the search engines to which the query is passed as a traditional laundry list. Other choices include a cluster display and a Flash display which is, in my opinion, cluttered with sliders, controls, and options."\n"Cluuz technology is incorporated into Sprylogics enterprise products where it provides search and disambiguation capabilities for both internal and external data. Enterprises using Cluuz technology can do a single search for all sources of information that they have access to. The results are pulled from unstructured information from within the firewall and reconciled with the results pulled from the web, thereby forming a complete intelligence picture. This capability allows users to very effectively expand their knowledge on a topic for which they already have information internally."

"SearchWeb is a tool for finding BBC content by generating a tree of links to relevant pages throughout the site. This system complements the BBC ranked-list search by enabling users to see the context and structure of a large number of results simultaneously, and also by drilling down for results in specific sections of the site.\n\nThe form of the visualisation is a navigable tree of web page nodes, with the BBC homepage at the centre and the result URLs forming branches around it. The main branches represent sections of the BBC site such as News or Learning, and are colour coded to show the proportionate number of results for each area.\nSearchWeb was developed in ActionScript3, using the Polygonal 'AS3 Data Structures For Game Developers' libraries http://lab.polygonal.de/ds/\nWe hope to release the source code for this project. We will make an announcement on the blog if we do so."

Feature Highlights : - Leoad Data Easily - Filter and Navigate - Group Data in Tables - Display on the Web * 100% java technology. * A range of different relationship types are supported. Edges can be directed, undirected, and can show flow in both directions. * Text and numerical attributes can be associated with nodes and edges. Tables display the attributes and allow sorting. * Images can be associated with nodes. * Advanced cluster computation reveals inherent groupings. * Co-citations and co-occurrence analysis clarifies dense networks.

"Créé par Sprylogics International, le moteur de recherche Cluuz analyse également les relations entre les mots clés. L'outil propose à l'utilisateur de se laisser guider pour mieux approfondir la recherche. Les résultats sont affichés visuellement, sous la forme de toiles d'araignée. Il pioche ses résultats chez Yahoo, Live Search, Alexa et Technorati. Sa bêta grand public vient juste d'être lancée."

"This is going to be the first of a couple of posts related to Voronoi Tessellations, Centroidal Voronoi Tessellations and Voronoi TreeMaps. In this post I'll explain what a Voronoi Tessellation is, what can it be used for, and also I'll describe an interesting algorithm for creating a Voronoi Tessellation given a set of points (or sites as I'll call them from now on)."

"Crystal Mapping, like mind mapping, concept mapping and other graphical organisers and brainstorming tools arranges information in a joined up visual context to help improve thinking, learning, understanding and knowledge. Crystal Maps use circles, the universal symbol of unity, rather than nodes and lines to connect ideas. Consequently your maps are more structured and instinctively seen as forming a 'whole that is greater than the sum of its parts'. This helps you plan, communicate and present insights and share and collaborate on projects because people can see 'the bigger picture' context. This new approach is a step on the road to new and better ways of managing projects and information complexity through visual means."