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The Dynamic Linked Data Observatory is a framework to monitor Linked Data over an extended period of time. The core goal of our work is to collect frequent, continuous snapshots of a subset of the Web of Data that is interesting for further study and experimentation, with an aim to capture raw data about the dynamics of Linked Data. The resulting corpora will be made openly and continuously available to the Linked Data research community.

Apache Jena project! Apache Jena™ is a Java framework for building Semantic Web applications. Jena provides a collection of tools and Java libraries to help you to develop semantic web and linked-data apps, tools and servers.

In combination with a complex news-gathering system, we use this engine to analyze more than 100,000 articles every day, all in real time. We identify 700,000+ different companies, people, brands and locations, understand the locality and topics that every article covers, collect the articles into story clusters, and visualize every story in the best possible way.

site defines a collection of schemas (applied in the form of HTML tags) that webmasters can use to markup their historical and genealogical information in a consistent way.

Computer and Information Science A collection of research related to Freebase.com, Google Refine and the MQL query language.

Linked Data Applications This page collects information about (Web) applications on top of linked data. We discuss issues and ideas here and report on already available LOD applications ranging from low-level tools (mainly for developer) to applications targeting end-users (that is, your Granny). The page is part of the Linking Open Data

The Dynamic Linked Data Observatory is a framework to monitor Linked Data over an extended period of time. The core goal of our work is to collect frequent, continuous snapshots of a subset of the Web of Data that is interesting for further study and experimentation, with an aim to capture raw data about the dynamics of Linked Data. The resulting corpora will be made openly and continuously available to the Linked Data research community.

"The Resource Description Framework (RDF) is a framework for representing information in the Web. This document defines an abstract syntax (a data model) which serves to link all RDF-based languages and specifications. The abstract syntax has two key data structures: RDF graphs are sets of subject-predicate-object triples, where the elements may be IRIs, blank nodes, or datatyped literals. They are used to express descriptions of resources. RDF datasets are used to organize collections of RDF graphs, and comprise a default graph and zero or more named graphs. RDF 1.1 Concepts and Abstract Syntax also introduces key concepts and terminology, and discusses datatyping and the handling of fragment identifiers in IRIs within RDF graphs."

"This DSpace installation has been set up for the purposes of the demo "Knowledge is Just a Click Away: Semantic Query Answering in DSpace"@ESWC 2011. . It contains abstracts and other material from previous ESWC conferences. All items are organized in collections according to the conference tracks (papers, demos, PhD, tutorials) and described with real DC and Learning Object (LOM) metadata."

"Wikibase is a collection of applications and libraries for creating, managing and sharing structured data. It is an open source project and everyone is welcome to join in development"

a collection of the best semantic web and linked data blogs

In computer science, the Semantic Desktop is a collective term for ideas related to changing a computer's user interface and data handling capabilities so that data is more easily shared between different applications or tasks and so that data that once could not be automatically processed by a computer could be. It also encompasses some ideas about being able to ...

LiDRC Lab Linked Data Research Centre (LiDRC) Laboratory The LiDRC Lab is a collection of tools and demos we are working on in the Linked Data Research Centre, DERI at NUI Galway. Experimental Tools & Services In the table below you'll find tools and services we are experimenting with. They are likely not stable and are subject to (rapid) change.

Semantic Web Search Engines This page collects links to Semantic Web Search Engines. Semantic Web Search Engines use robots to crawl RDF data from the Web and provide search and navigation facilities over crawled data. The page is part of the community project [[SweoIG/TaskForces/CommunityProjects/LinkingOpenData|]]

wiki contains the infobox-to-ontology and the table-to-ontology mappings which are used by the DBpedia extraction framework as well as the ontology definition itself. The framework collects the templates defined in this Wiki and extracts the Wikipedia content according to them (As of March 2010, only the dump extraction uses the mappings. DBpedia Live is going to follow shortly).

The Open Mind Initiative is a novel world-wide collaborative effort to develop 'intelligent' software. Open Mind collects information from people like you -- non-expert 'netizens' -- in order to teach computers the myriad things which we all know and which underlie our general intelligence but which we usually take for granted. Current computers are notoriously poor in these areas. You can participate by answering questions, contributing data, and playing games online. In this way, you and millions of others help us create 'intelligent' software, made available to all.

A new way to use the web: "Blaze", "Publish" and "Walk" Blaze: Collect pages using the convenient bookmarklet and connect them into a trail. Publish: Make your trail publicly viewable for other people. Walk: Find other people's trails and read them.

Overview When people communicate, they rely on a large body of shared common sense knowledge in order to understand each other. Many barriers we face today in artificial intelligence and user interface design are due to the fact that computers do not share this knowledge. To improve computers' understanding of the world that people live in and talk about, we need to provide them with usable knowledge about the basic relationships between things that nearly every person knows. In 1999, we began a project at the MIT Media Lab to collect common sense from volunteers on the internet. Ten years later our project has expanded to encompass many different areas, languages, and problems. Currently, the English site has over a million sentences from over 15,000 contributors.

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.

Twarql - Streaming Annotated Tweets project ("twarql") In this project we investigate the representation of tweets as RDF in order to enable flexibility in handling the information overload of those interested in collectively analyzing social media for sensemaking.