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Datasets. LOD Cloud 2014. Software. Semantic Technologies, Linked Open Data | Semantic Web Company. DBpedia Ontology. Semantic-mediawiki.org. OWL 2 Web Ontology Language Primer (Second Edition) Semantic University. Semantic University is the largest and most accessible source of educational material relating to semantics and Semantic Web technologies. It includes: Lessons suitable to those brand new to the space. Comparisons, both high-level and in-depth, with related technologies, such as SQL, NoSQL and Big Data. Interactive, hands on tutorials. There's much more, too—learn more about Semantic University. Semantic University content is split into two sections, each with several tracks. Every lesson comes with its own Forum for further discussion.

Untitled. Part I. Getting Started Chapter 1. Introduction 1.1. rdf:about Sesame 2 ¶ 1.1.1. Sesame is an open source Java framework for storage and querying of RDF data. Of course, a framework isn't very useful without implementations of the various APIs. Originally, Sesame was developed by Aduna (then known as Aidministrator) as a research prototype for the hugely successful EU research project On-To-Knowledge. Sesame is currently developed as a community project, with Aduna as the project leader. 1.1.2. This user manual covers most aspects of working with Sesame in a variety of settings.

The basics of programming with Sesame are covered in chapter-repository-api. chapter-http-protocol gives an overview of the structure of the HTTP REST protocol for the Sesame Server, which is useful if you want to communicate with a Sesame Server from a programming language other than Java. Chapter 2. 2.1. Sesame releases can be downloaded from Sourceforge. Openrdf-sesame-(version)-sdk.tar.gz. 2.1.1. 2.1.2. 2.2. OpenRDF.org: Home. Mereology. Mereology has been axiomatized in various ways as applications of predicate logic to formal ontology, of which mereology is an important part. A common element of such axiomatizations is the assumption, shared with inclusion, that the part-whole relation orders its universe, meaning that everything is a part of itself (reflexivity), that a part of a part of a whole is itself a part of that whole (transitivity), and that two distinct entities cannot each be a part of the other (antisymmetry).

A variant of this axiomatization denies that anything is ever part of itself (irreflexive) while accepting transitivity, from which antisymmetry follows automatically. Standard university texts on logic and mathematics are silent about mereology, which has undoubtedly contributed to its obscurity. History[edit] A.N. Whitehead planned a fourth volume of Principia Mathematica, on geometry, but never wrote it.

Axioms and primitive notions[edit] An object lacking proper parts is an atom. The axioms are: Semantic network. Typical standardized semantic networks are expressed as semantic triples. History[edit] Example of a semantic network "Semantic Nets" were first invented for computers by Richard H. Richens of the Cambridge Language Research Unit in 1956 as an "interlingua" for machine translation of natural languages.[2] They were independently developed by Robert F.

In the late 1980s, two Netherlands universities, Groningen and Twente, jointly began a project called Knowledge Graphs, which are semantic networks but with the added constraint that edges are restricted to be from a limited set of possible relations, to facilitate algebras on the graph.[12] In the subsequent decades, the distinction between semantic networks and knowledge graphs was blurred.[13][14] In 2012, Google gave their knowledge graph the name Knowledge Graph.

Basics of semantic networks[edit] A semantic network is used when one has knowledge that is best understood as a set of concepts that are related to one another. Examples[edit] YAGO - D5: Databases and Information Systems (Max-Planck-Institut für Informatik) Overview YAGO is a huge semantic knowledge base, derived from Wikipedia WordNet and GeoNames.

Currently, YAGO has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities. YAGO is special in several ways: The accuracy of YAGO has been manually evaluated, proving a confirmed accuracy of 95%. Every relation is annotated with its confidence value.YAGO combines the clean taxonomy of WordNet with the richness of the Wikipedia category system, assigning the entities to more than 350,000 classes.YAGO is an ontology that is anchored in time and space. YAGO attaches a temporal dimension and a spacial dimension to many of its facts and entities.In addition to a taxonomy, YAGO has thematic domains such as "music" or "science" from WordNet Domains.YAGO extracts and combines entities and facts from 10 Wikipedias in different languages.

Word2vec - Tool for computing continuous distributed representations of words. Mappings.dbpedia. Freebase. Freebase is a large collaborative knowledge base consisting of metadata composed mainly by its community members. It is an online collection of structured data harvested from many sources, including individual 'wiki' contributions.[2] Freebase aims to create a global resource which allows people (and machines) to access common information more effectively. It was developed by the American software company Metaweb and has been running publicly since March 2007.

Metaweb was acquired by Google in a private sale announced July 16, 2010.[3] Google's Knowledge Graph is powered in part by Freebase.[4] Freebase data is freely available for commercial and non-commercial use under a Creative Commons Attribution License, and an open API, RDF endpoint, and database dump are provided for programmers. Overview[edit] Described by Tim O'Reilly upon their launch, "Freebase is the bridge between the bottom up vision of Web 2.0 collective intelligence and the more structured world of the semantic web.

Visual Data Web - Visually Experiencing the Data Web. About. Five AKSW Papers at ESWC 2014 Hello World! We are very pleased to announce that five of our papers were accepted for presentation at ESWC 2014. These papers range from natural-language processing to the acquisition of temporal data. Read more about "Five AKSW Papers at ESWC 2014" AKSW Colloquium “Current semantic web initiatives in the Netherlands” on Friday, March 14, Room P901 Current semantic web initiatives in the Netherlands: Heritage & Location, PiLOD 2.0 On Friday, March 14, at 10.00 a.m. in room P901, visiting researchers Tine van Nierop and Rein van ‘t Veer from the E&L will discuss, amongst several other semantic web initiatives in the Netherlands, two different projects: Heritage & Location (www.erfgoedenlocatie.

AKSW Colloquium “Towards a Computer Algebra Semantic Social Network” on Monday, March 17 Towards a Computer Algebra Semantic Social Network On Monday, March 17th, 2014 at 1.30 – 2:30 p.m. in Room P702 (Paulinum), Prof. Semantic University. Semanticweb.com - The Voice of Semantic Web Business. Scardf - Scala RDF API. SweoIG/TaskForces/CommunityProjects/LinkingOpenData - W3C Wiki. News 2014-12-03: The 8th edition of the Linked Data on the Web workshop will take place at WWW2015 in Florence, Italy. The paper submission deadline for the workshop is 15 March, 2015. 2014-09-10: An updated version of the LOD Cloud diagram has been published. The new version contains 570 linked datasets which are connected by 2909 linksets. New statistics about the adoption of the Linked Data best practices are found in an updated version of the State of the LOD Cloud document. 2014-04-26: The 7th edition of the Linked Data on the Web workshop took place at WWW2014 in Seoul, Korea.

The workshop was attended by around 80 people. The proceedings of the workshop are published as CEUR-WS Vol-1184. 2013-04-25: The accepted papers of the 6th Linked Data on the Web Workshop (LDOW2013) are online now. Project Description The Open Data Movement aims at making data freely available to everyone. Clickable version of this diagram. Project Pages Meetings & Gatherings LOD Community Gatherings Demos. SemWebCentral. Semanticweb.org. LDIF – Linked Data Integration Framework. CubicWeb - The Semantic Web is a construction game! — CubicWeb 3.14.4. About WordNet - WordNet - About WordNet. RDF/OWL Representation of WordNet. Abstract This document presents a standard conversion of Princeton WordNet to RDF/OWL.

It describes how it was converted and gives examples of how it may be queried for use in Semantic Web applications. Status of this Document This section describes the status of this document at the time of its publication. Other documents may supersede this document. A list of current W3C publications and the latest revision of this technical report can be found in the W3C technical reports index at This document is a First Public Working Draft produced by the Semantic Web Best Practices and Deployment Working Group, part of the W3C Semantic Web Activity. Comments on this document are encouraged and may be sent to public-swbp-wg@w3.org; please include the text "comment" in the subject line. The URIs specified in this document for WordNet terms are served by W3C in accordance with its resource persistence policy. Acknowledgements Table of Contents 1. Synonym - WordNet visualization using Force-Directed Graphs.

Welcome to the UMBEL Web Site ! | UMBEL. Linked data. An introductory overview of Linked Open Data in the context of cultural institutions. In computing, linked data (often capitalized as Linked Data) describes a method of publishing structured data so that it can be interlinked and become more useful. It builds upon standard Web technologies such as HTTP, RDF and URIs, but rather than using them to serve web pages for human readers, it extends them to share information in a way that can be read automatically by computers.

This enables data from different sources to be connected and queried.[1] Tim Berners-Lee, director of the World Wide Web Consortium, coined the term in a design note discussing issues around the Semantic Web project.[2] Principles[edit] Tim Berners-Lee outlined four principles of linked data in his Design Issues: Linked Data note,[2] paraphrased along the following lines: All kinds of conceptual things, they have names now that start with HTTP.I get important information back.

Components[edit] European Union Projects[edit] Jena - Welcome to Jena. Web Ontology Language. Istnieją trzy odmiany języka OWL: OWL Lite;OWL DL (rozszerzenie OWL Lite);OWL Full (rozszerzenie OWL DL). OWL został uznany w lutym 2004 roku za standard przez W3C. RDF i OWL są bardzo podobne i dotyczą tego samego problemu, jednak OWL jest językiem bardziej rozbudowanym, z większym słownikiem i mocniejszą składnią.

Zobacz też[edytuj | edytuj kod] Bibliografia[edytuj | edytuj kod] OWL Web Ontology Language Overview. W3C Recommendation 10 February 2004 New Version Available: OWL 2 (Document Status Update, 12 November 2009) The OWL Working Group has produced a W3C Recommendation for a new version of OWL which adds features to this 2004 version, while remaining compatible. Please see OWL 2 Document Overview for an introduction to OWL 2 and a guide to the OWL 2 document set. This version: Latest version: Previous version: Editors: Deborah L. Frank van Harmelen (Vrije Universiteit, Amsterdam) Frank.van.Harmelen@cs.vu.nl Please refer to the errata for this document, which may include some normative corrections. See also translations. Copyright © 2004 W3C® (MIT, ERCIM, Keio), All Rights Reserved.

Abstract The OWL Web Ontology Language is designed for use by applications that need to process the content of information instead of just presenting information to humans. 1. 2. 3. OWL Web Ontology Language Guide. W3C Recommendation 10 February 2004 New Version Available: OWL 2 (Document Status Update, 12 November 2009) The OWL Working Group has produced a W3C Recommendation for a new version of OWL which adds features to this 2004 version, while remaining compatible. Please see OWL 2 Document Overview for an introduction to OWL 2 and a guide to the OWL 2 document set. This version: Latest version: Previous version: Editors: Michael K. Chris Welty, IBM Research, Deborah L. Please refer to the errata for this document, which may include some normative corrections.

See also translations. Copyright © 2004 W3C® (MIT, ERCIM , Keio), All Rights Reserved. Abstract The World Wide Web as it is currently constituted resembles a poorly mapped geography. This document demonstrates the use of the OWL language to Status of This Document 1.1. 1.2. OWL is a component of the Semantic Web activity. SemanticWebTools - W3C Wiki. REDIRECT New SemanticWiki Tools Page As of 12:50, 14 January 2010, this page is no longer maintained and should not be changed. The content has been transferred to (Changes made here after the above date may not be reflected on the new page!) Please consult and possibly modify that page. Table of Contents: This page contains the information on RDF and OWL tools that used to be listed on the home pages of the RDF and OWL Working Groups at W3C.

This Wiki page is only for programming and development tools. There are other pages on tool collection, largely overlapping with this, but possibly with a different granularity or emphasis. There are also separate pages maintained on this Wiki for: SPARQL implementations, set up by the SPARQL Working Group (although most of the information is present on this page, too) SPARQL "endpoints", examples of using SPARQL in exposing various data. Adobe's XMP Altova's SemanticWorks Amilcare Arity's LexiLink Asio Cerebra Server Rej. Tools. This page gives an overview of software tools related to the Semantic Web or to semantic technologies in general. Due to the large amount of tools being created in the community, this site is always somewhat outdated. Contributions and updates are welcomed.

See also: Tool Chains Adding your own Adding your own tool is as easy as creating a page. The easiest way is to copy the page of some existing tool and modify it to fit your case. Please do provide a release date to support maintaining information in this wiki! Do not forget to use a suitable category to classify the tool, otherwise it will not appear below. If your tool is an OWL 2 implementation or a RIF implementation not yet listed here, please consider to add it. Current tools on semanticweb.org.edu The following tools are currently recorded in this wiki. The following is a list of all tools currently known (use the icons in the table header to sort by any particular column) Sig.ma EE- Semantic Information Mashup Enterprise Edition. About. Tools - Visual Data Web. Resource Description Framework. RDF Primer.