Group items tagged

KML is a file format used to display geographic data in an earth browser, such as Google Earth, Google Maps, and Google Maps for mobile. A KML file is processed in much the same way that HTML (and XML) files are processed by web browsers. Like HTML, KML has a tag-based structure with names and attributes used for specific display purposes. Thus, Google Earth and Maps act as browsers for KML files.

The Semantic Web isn't just about putting data on the web. It is about making links, so that a person or machine can explore the web of data. With linked data, when you have some of it, you can find other, related, data. Like the web of hypertext, the web of data is constructed with documents on the web. However, unlike the web of hypertext, where links are relationships anchors in hypertext documents written in HTML, for data they links between arbitrary things described by RDF,. The URIs identify any kind of object or concept. But for HTML or RDF, the same expectations apply to make the web grow: 1. Use URIs as names for things 2. Use HTTP URIs so that people can look up those names. 3. When someone looks up a URI, provide useful information. 4. Include links to other URIs. so that they can discover more things.

The Knowledge Annotator is a Java program that allows users to mark-up web pages with SHOE knowledge without having to worry about the HTML-like codes. The Annotator is available as an applet or a stand-alone Java application.

OntoMat-Annotizer is a user-friendly interactive webpage annotation tool. It supports the user with the task of creating and maintaining ontology-based OWL-markups i.e. creating of OWL-instances, attributes and relationships. It include an ontology browser for the exploration of the ontology and instances and a HTML browser that will display the annotated parts of the text. It is Java-based and provide a plugin interface for extensions. The intended user is the individual annotator i.e., people that want to enrich their web pages with OWL-meta data. Instead of manually annotating the page with a text editor, say, emacs, OntoMat allows the annotator to highlight relevant parts of the web page and create new instances via drag?n?drop interactions. It supports the meta-data creation phase of the lifecycle. It is planned that a future version will contain an information extraction plugin, that offers a wizard which suggest which parts of the text are relevant for annotation. That aspect will help to ease the time-consuming annotation task.

Drug Ontology is developed by the nosology project at Stanford Center for Biomedical Informatics Research. This project seeks to discover new therapeutic uses and adverse effects of drugs by finding diseases that have gene expression profiles similar to those of the known indications and adverse effects of drugs. The objectives of the Drug Ontology are: * defines a core set of concepts and relationships that allow us to integrate information from multiple sources, * provides classification services along multiple axes, * provides links to external sources so that data not in the ontology can be queried from these sources.

s Richard MacManus recently predicted, in 2008 we'll witness the rise of semantic web services. From the native support for Microformats in Firefox 3, to the New York Times' utilization of rich headers metadata, to this week's release of the Social Graph API by Google, semantics are starting to slip onto the web. The impact is being felt because large companies are really starting to focus on structured information. In the same vein, last week Reuters - an international business and financial news giant - launched an API called Open Calais. The API does a semantic markup on unstructured HTML documents - recognizing people, places, companies, and events. This technology is the next generation of the Clear Forest offering, which Reuters acquired last year. We have profiled Clear Forest on ReadWriteWeb and in this post we will look at what Reuters opened up and why.

See also: http://lists.w3.org/Archives/Public/semantic-web/2008Apr/0005.html NaturalOWL is an open-source natural language generation engine written in Java. It produces descriptions of individuals (e.g., items for sale, museum exhibits) and classes (e.g., types of exhibits) in English and Greek from OWL DL ontologies. The ontologies must have been annotated in RDF with linguistic and user modeling resources. We demonstrate a plug-in for Protege that can be used to produce these resources and to generate texts by invoking NaturalOWL. We also demonstrate how NaturalOWL can be used by robotic avatars in Second Life to describe the exhibits of virtual museums. NaturalOWL demonstrates the benefits of Natural Language Generation (NLG) on the Semantic Web. Organizations that need to publish information about objects, such as exhibits or products, can publish OWL ontologies instead of texts. NLG engines, embedded in browsers or Web servers, can then render the ontologies in multiple natural languages, whereas computer programs may access the ontologies directly.

Evri opens up a whole new way to explore connections - between people, products, places, and things on the web and in the news. see also http://www.evri.com/garden.html

MarkMail is a free service for searching mailing list archives, with huge advantages over traditional search engines. It is powered by MarkLogic Server: Each email is stored internally as an XML document, and accessed using XQuery. All searches, faceted navigation, analytic calculations, and HTML page renderings are performed by a small MarkLogic Server cluster running against millions of messages.

The Disco - Hyperdata Browser is a simple browser for navigating the Semantic Web as an unbound set of data sources. The browser renders all information, that it can find on the Semantic Web about a specific resource, as an HTML page. This resource description contains hyperlinks that allow you to navigate between resources. While you move from resource to resource, the browser dynamically retrieves information by dereferencing HTTP URIs and by following rdfs:seeAlso links.

AKTive Media is an ontology based cross-media annotation (Images and Text) system. Our goal is to automate the process of annotation by suggesting knowledge to the user in an interactive way while the user is annotating and hence minimizing user effort. The system actively works in the background, interacting with web services and queries our central annotational store to look for context specific knowledge.

MindCanvas is a online research service to gather insights about your customers' thoughts & feelings. Online surveys require users to complete boring html forms. You can use our Game-like Elicitation Methods (GEMs) to gather user feedback. At the end of the study, you can use our Visual Analysis Engine to order rich visualizations of your data.

Do you want to solve fiscal hassle without any delay? Just apply bad credit monthly loans and get instant cash to solve your small fiscal crisis .Online is the best way to obtain these cash facility.

Do you want to solve fiscal hassle without any delay? Just apply bad credit monthly loans and get instant cash to solve your small fiscal crisis .Online is the best way to obtain these cash facility.

Silobreaker is a search and aggregation service for news and current affairs that looks at the data it finds like a person does. It recognizes things - companies, people, topics, places - and puts them in context. By filtering out the noise and building up a meaningful picture from the information that matters, Silobreaker enables its users to spend more time learning from the web, and less time searching it.

WikiGenes is the first wiki system to combine the collaborative and largely altruistic possibilities of wikis with explicit authorship. In view of the extraordinary success of Wikipedia there remains no doubt about the potential of collaborative publishing, yet its adoption in science has been limited. Here I discuss a dynamic collaborative knowledge base for the life sciences that provides authors with due credit and that can evolve via continual revision and traditional peer review into a rigorous scientific tool.

Picturing to Learn (PtL) is founded on the following core premises: one From a student's perspective: undergraduate students can clarify their own understanding of scientific concepts and processes by creating drawings that explain these concepts to non-experts. two From a teacher's perspective: drawings can be useful as: * assessment tools, allowing instructors to identify students' scientific understanding and pinpoint their misconceptions * educational tools, to help inform instructors' lecture preparation

Academic Researcher Social Network

Tagging is a process that associates keywords with specific content. We did a rough analysis in our paper (reference below), and computed how often a keyword used by a user to tag an URL appears in the page content. We found that, on average, the chance that a tag comes from the content is 49%. This process produced a conservative estimate of tag occurrence in content, since we did not account for situations such as content changes for a given URL (e.g., dynamic content), typos (e.g., "Ajaz" instead of "Ajax"), abbreviations (e.g., "ad" instead of "advertisement"), compound tags (e.g., "SearchEngine"), and tags written in languages other than that of the content.