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The objective of the Linking Open Data (LOD) community is to extend the Web with data commons by publishing various open datasets as RDF on the Web and by setting RDF links between data items from different data sources.

The Semantic Web is the extension of the World Wide Web that enables people to share content beyond the boundaries of applications and websites. It has been described in rather different ways: as a utopic vision, as a web of data, or merely as a natural paradigm shift in our daily use of the Web. Most of all, the Semantic Web has inspired and engaged many people to create innovative semantic technologies and applications. semanticweb.org is the common platform for this community.

392 Freebase Application topics matching: Freebase Application Freebase Commons Freebase Application' is a type used to describe applications developed using MQL and the Freebase API. 392 total topics |

The mission of STI International  - Semantic Technology Institute International - is to establish Semantics as a core pillar of modern computer engineering. STI International is organized as a collaborative association of interested scientific, industrial and governmental parties of the world wide Semantic Web and Service community that share a common vision. STI International actively takes the lead in developing new business models and in improving the way people and businesses communicate and interact.

defines the Simple Knowledge Organization System (SKOS), a common data model for sharing and linking knowledge organization systems via the Web

The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. It is a collaborative effort led by W3C with participation from a large number of researchers and industrial partners. It is based on the Resource Description Framework (RDF). See also the separate FAQ for further information.

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SPIN is the de-facto industry standard to represent SPARQL rules and constraints on Semantic Web models. SPIN also provides meta-modeling capabilities that allow users to define their own SPARQL functions and query templates. Finally, SPIN includes a ready to use library of common functions.

The Freebase Commons contains the types used to administer the Freebase application. Much of the content and the display preferences for types in the application is managed here. More

This project contains a set of wiki-related libraries, such as a parsers for various wiki syntaxes, and common wiki model (event- and object-based).

Oroboro is a lightweight Java RDF processing framework. Its design focuses on rule-based data extraction and integration tasks involving moderate datasets, targeting common use cases while striving to remain as simple and flexible as possible.

Knowledge Hives has been risen in the research community where contributing to the open source was a very common practice. We understand that in order to support the coming of third generation of the Internet (Web 3.0) a host of open source software needs to become widely accessible. Apart from our contribution to open source solutions delivered by others, a part of the mission of Knowledge Hives is to continue the research and development efforts of the Corrib.org group that has delivered many open source projects based on the research on the Web 3.0. In addition to publishing our own open source solutions and contributing to the existing open source projects, especially from the Corrib.org group, we provide commercial support that allows to leverage the potential of the open source software in more demanding environments, e.g., enterprises or large organizations.

The RDF Interfaces Specification defines a set of standardized interfaces for working with RDF data in a programming environment. This specification outlines three distinct sets of interfaces: RDF Concept Interfaces, which represent the various RDF Concepts RDF Environment Interfaces, which provide the basic methods required to work with RDF data. RDF Data Interfaces, which are a set of modular interfaces covering common areas of functionality.

The Semantic News Community Group is a forum for exploring the intersection of W3C semantic technologies and news gathering, production, distribution and consumption. It will focus on a common representation for abstract ideas in the news domain such as a 'news event' or a domain ontology for news. This includes the follo

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Kasabi Directory Creative Commons Attribution (CC-BY) Uncategorised This dataset is an aggregation of all of the machine-readable metadata relating to datasets in Kasabi. It has been compiled by crawling all of the VoiD descriptions available from data.kasabi.com. This includes the basic dataset metadata as well as some data about its structure, e.g. resource counts and lists of classes and their occurences.

Spirituality and Health, are two extremely intermingled topics which have a common effect on our health, life and our environment. A pure spiritual health gained through natural ancient remedies like Yoga, Meditation, Reiki, Acupressure and Acupuncture, indicates a better health which thus relates to a better life.

"Welcome to Invenio's documentation. This documentation is divided into different parts. We recommend that you get started with First Steps with Invenio and then head over to the Quickstart. Besides the quickstart, there is also a more detailed Tutorial that shows how to create a complete application with Invenio. If you'd rather dive into the internals of Invenio, check out the API documentation. Common patterns are described in the Patterns section."

"Wikidata is a collaboratively edited knowledge base hosted by the Wikimedia Foundation. It is a common source of open data that Wikimedia projects such as Wikipedia can use,[4][5] and anyone else, under a public domain license. The used data model is the Resource Description Framework. Wikidata is powered by the software Wikibase.[6]"

The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services. OpenNLP also includes maximum entropy and perceptron based machine learning.

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