Linked Data: Moving Towards Consumption Earlier this month 16 out of 42 papers were accepted for the upcoming Linked Data on the Web (LDOW) 2012 Workshop in Lyon, France in April. What might be discerned from the tenor of the submissions is something of a shift in focus in the Linked Data space, according to workshop chair Dr. Michael Hausenblas, Linked Data Research Centre, DERI, NUI Galway, Ireland. Other organizing committee members include Tim Berners-Lee, Christian Bizer and Tom Heath.
Faceted Wikipedia Search
Thinkmap SDK The Thinkmap SDK enables organizations to incorporate data-driven visualization technology into their enterprise Web applications. Thinkmap applications allow users to make sense of complex information in ways that traditional interfaces are incapable of. The Thinkmap SDK (v. 2.8) includes a set of out-of-the-box configurations for solving common visualization problems, as well as new visualization techniques for customizing data displays. We have designed Thinkmap to be lightweight, fast, easily extensible, and able to connect seamlessly to a wide variety of data sources. Thinkmap is composed of two primary components:
Maltego 3 > Community Edition
Software Packages for Graphical Models / Bayesian Networks
Written on Aug 11, 2011 Author NetSeer Pushes Concepts, Not Keywords, for Contextual Targeting
For the last 150 years, The New York Times has maintained one of the most authoritative news vocabularies ever developed. In 2009, we began to publish this vocabulary as linked open data. The Data As of 13 January 2010, The New York Times has published approximately ,10,000 subject headings as linked open data under a CC BY license. We provide both RDF documents and a human-friendly HTML versions. The table below gives a breakdown of the various tag types and mapping strategies on data.nytimes.com.
Exhibit 3.0 Project Getting Involved Join us on IRC on freenode or browse the SIMILE Widgets mailing list archives to ask questions about Exhibit. Chances are others may have similar questions, and the list is a great place to share answers. Background The Exhibit 3 project was supported by the Library of Congress.
Thomas Neumann: D5: Databases and Information Systems (Max-Planck-Institut für Informatik) [an error occurred while processing this directive] © 2008 Thomas Neumann Note: A more recent version of the RDF-3X code is available at http://code.google.com/p/rdf3x/. Overview:
Tetherless World Demos Tetherless World Demos beta work alpha work IW Search (2005-2008) - searches instances in PML documents. Wine Wiki and TW Wine Agent (2007-2008) - wine recommendation maintainer and aggregator RPI Map Wiki (2008) - an interactive RPI Map Semantic Wiki for TAMI Project (2006-2008) - a test-bed for policy language and engines Browser2 (2006-2008) - browse Semantic Web instances by resource URI or document URL PML Validator(2005-2008) Semantic Web services(2008-)
This site provides a collection of schemas, i.e., html tags, that webmasters can use to markup their pages in ways recognized by major search providers. Search engines including Bing, Google, Yahoo! and Yandex rely on this markup to improve the display of search results, making it easier for people to find the right web pages. Many sites are generated from structured data, which is often stored in databases. When this data is formatted into HTML, it becomes very difficult to recover the original structured data.
Most webmasters are familiar with HTML tags on their pages. Usually, HTML tags tell the browser how to display the information included in the tag. For example, <h1>Avatar</h1> tells the browser to display the text string "Avatar" in a heading 1 format. However, the HTML tag doesn't give any information about what that text string means—"Avatar" could refer to the hugely successful 3D movie, or it could refer to a type of profile picture—and this can make it more difficult for search engines to intelligently display relevant content to a user. Schema.org provides a collection of shared vocabularies webmasters can use to mark up their pages in ways that can be understood by the major search engines: Google, Microsoft, Yandex and Yahoo! You use the schema.org vocabulary, along with the microdata format, to add information to your HTML content.
Jeff Ente is the director of Who's Blogging What, a weekly e-newsletter that tracks over 1,100 social media, web marketing and user experience blogs to keep readers informed about key developments in their field and highlight useful but hard to find posts. Mashable readers can subscribe for free here. Algorithms aren’t going away anytime soon now that websites have a better way to directly describe their content to major search engines. Earlier this month, Google, Bing and Yahoo came together to announce support for Schema.org, a semantic markup protocol with its own vocabulary that could provide websites with valuable search exposure. How Schema.org Will Change Your Search Results & What it Means for Marketers
Welcome to OneSource - OneSource
SIMILE: Practical Metadata for the Semantic Web - Ésta es una idea de Google Docs
Don't get too excited by the title. But I do want to share a few thoughts... It was running through my head just now, the work that we were doing here in Moncton to work on an e-learning cluster. Why the Semantic Web Will Fail
Internet Semantic Web Web 3.0
Update: Joe from the Squio blog has posted a response to this entry. Microformats are a wildly popular set of formats for embedding metadata within normal XHTML. The primary advantage Microformats offer over RDF (including its embedded serializations) is that you can embed metadata directly in the XHTML, reducing the amount of markup you need to write (e.g. you don't have to write XHTML and additional RDF). Many people have contended that Microformats are a possible replacement for RDF, however Microformats were not designed to cover the same scope as RDF was. While both Microformats and RDF make it possible to store data about data, they simply do not work to solve the same set of problems. A quick comparison Microformats vs. RDF: How Microformats Relate to the Semantic Web
A microformat (sometimes abbreviated μF) is a web-based approach to semantic markup which seeks to re-use existing HTML/XHTML tags to convey metadata and other attributes in web pages and other contexts that support (X)HTML such as RSS. This approach allows software to process information intended for end-users (such as contact information, geographic coordinates, calendar events, and similar information) automatically. Although the content of web pages is technically already capable of "automated processing", and has been since the inception of the web, such processing is difficult because the traditional markup tags used to display information on the web do not describe what the information means. Microformats can bridge this gap by attaching semantics, and thereby obviate other, more complicated, methods of automated processing, such as natural language processing or screen scraping.
Microdata is a WHATWG HTML specification used to nest metadata within existing content on web pages. Search engines, web crawlers, and browsers can extract and process Microdata from a web page and use it to provide a richer browsing experience for users. Search engines benefit greatly from direct access to this structured data because it allows search engines to understand the information on web pages and provide more relevant results to users. Microdata uses a supporting vocabulary to describe an item and name-value pairs to assign values to its properties. Microdata is an attempt to provide a simpler way of annotating HTML elements with machine-readable tags than the similar approaches of using RDFa and microformats. Microdata vocabularies provide the semantics, or meaning of an Item. Web developers can design a custom vocabulary or use vocabularies available on the web.
ConceptNet | Common Sense Computing Initiative ConceptNet aims to give computers access to common-sense knowledge , the kind of information that ordinary people know but usually leave unstated. The data in ConceptNet is being collected from ordinary people who contributed it on sites like Open Mind Common Sense . ConceptNet represents this data in the form of a semantic network, and makes it available to be used in natural language processing and intelligent user interfaces. ConceptNet is an open source project, with a Python implementation and a REST API that anyone can use to add computational common sense to their own project.
Ontology construction from text
Common Sense Computing Initiative | at the MIT Media Lab
Demo of a Semantic Web Portal
Inc. - Semantic Web Technologies
Associative model of data
XML Introduction - What is XML?
RDF and Jena
why triples are not enough
Describing Copyright in RDF - Creative Commons Rights Expression Language
Using Dublin Core - The Elements
Primer - Getting into the semantic web and RDF using N3
RDF Vocabulary Description Language 1.0: RDF Schema
RDFa, Drupal and a Practical Semantic Web
Open Archives Initiative - Protocol for Metadata Harvesting - v.2.0
Open Archives Initiative Protocol for Metadata Harvesting
Cross-media: Controlling your Language: a Directory of Metadata Vocabularies