It only indicates a machine's ability to solve a well-defined problem by performing well-defined operations on existing well-defined data. Instead of asking machines to understand people's language, it involves asking people to make the extra effort

This document defines the Simple Knowledge Organization System (SKOS), a common data model for sharing and linking knowledge organization systems via the Web. The SKOS data model provides a standard, low-cost migration path for porting existing knowledge organization systems to the Semantic Web. SKOS also provides a lightweight, intuitive language for developing and sharing new knowledge organization systems. It may be used on its own, or in combination with formal knowledge representation languages such as the Web Ontology language (OWL).

a really nice overview of SW

The Logical Observation Identifiers Names and Codes terminology (LOINC) [1] has been proposed as a nomenclature for clinical laboratory tests. We present a formal representation of LOINC using a Semantic Web-based ontology that defines LOINC concepts in terms of the six main LOINC axes and their relationships with UMLS Semantic Types and the UMLS Metathesarus. This representation may enable automated information integration and decision support in public health surveillance

Knowledge organization systems, such as taxonomies, thesauri or subject heading lists, play a fundamental role in information structuring and access. The Semantic Web Deployment Working Group aims at providing a model for representing such vocabularies on the Semantic Web: SKOS (Simple Knowledge Organization System).

This document presents the preparatory work for the 2009 version of SKOS [SKOS-REFERENCE]. It lists representative use cases, which were obtained after a dedicated questionnaire was sent to a wide audience. It also features a set of fundamental or secondary requirements derived from these use cases, that have been used to guide the design of SKOS.

This document is a companion to the SKOS Reference and the SKOS Primer, which respectively provide the normative reference on SKOS and a user guide for those who would like to represent their concept scheme using SKOS.

Cambridge Semantics is a provider of semantic middleware and application development tools that put the end user in the driver's seat. We provide a single, universal layer for representing, accessing and combining enterprise data on-the-fly, wherever it exists and whenever it is needed.

"Simple javascript (+backend) library for web-annotation."

these guys did Semantic SEO for Google with GoodRelations and RDFa

Representing part-whole relations is a very common issue for those developing ontologies for the Semantic Web. OWL does not provide any built-in primitives for part-whole relations (as it does for the subclass relation), but contains sufficient expressive power to capture most, but not all, of the common cases. The study of part-whole relations is an entire field in itself - "mereology" - this note is intended only to deal with straightforward cases for defining classes involving part-whole relations.

SWEET 2.0 is highly modular with 4600 concepts in 150 modular ontologies organized by subject. You can view the entire concept space from an OWL tool such as Protege or SWOOP by reading in sweetAll.owl. Alternatively, these ontologies can be viewed individually, as they are arranged hierarchically by subject (see Figure below). Ontologies depicted in the center represent measurement systems, used to describe basic science processes and substances, which provide the basis for Earth system science phenomena and realms, which are used in applications.

SPARQLZ is a project aimed to provide a graphical user interface for everyday users to assemble, edit, share and mash-up modular, persistent, real-time searches across the web of Linked Data. It's a side project by an independent team within a large data corporation. It's like Yahoo Pipes, for Linked Data - but easier to use and already populated with big sets of valuable information to mashup and parse.

The ontology browser allows you to navigate around your ontologies in the same familiar environment, but produces the pages dynamically and is available for direct use with a web front-end. Only suitable for nerds.

Demonstrate the power the Semantic Web brings to Health-Care and how easy it is to deploy today.

Tired with having to produce loads of static HTML using OWLDoc and then having to upload it to your server?

The ontology browser allows you to navigate around your ontologies in the same familiar environment, but produces the pages dynamically and is available for direct use with a web front-end.

The W3C HTML5 Working Group has published 8 "heartbeat" documents. This includes a new draft of the HTML5+RDFa specification, which now refers to the latest RDFa 1.1 Core draft instead of the older, RDFa 1.0 version. In other words, new features, like the usage of default vocabularies or the profile attribute, are now available in HTML5 according to this draft.

This page lists some implementations of SPARQL, a query language and protocol for RDF acccess released by the W3C RDF Data Access Working Group - DAWG.

Providing efficient ontology matching algorithms is one of the means for pursuing semantic interoperability. In this paper we discuss an algorithm that exploits natural language processing techniques for matching ontologies and that post-processes the obtained alignment in order to find semantic inconsistencies. The algorithm has been entirely implemented in Prolog, whose usefulness was mainly evident in the post-processing phase. A careful analysis of the recent stateof- the art witnesses the originality of our matching algorithm which is based on the “Adapted Lesk Algorithm” for word sense disambiguation. The experiments we carried out, although in their early stages, are encouraging.

as Martin Fowler points out, it is often more pragmatic to build a custom engine. A custom engine can be as simple as a properties file modelled after an awk script (ie, {pattern => action} pairs). More complex rules, ie multiple pattern matches in a certain sequence leading to a single complex action, can also be modeled by doing a Java variant of the awk strategy, ie {Predicate => Closure}. Where Rules Engines shine, however, is when you need to do rule chaining or when the structure of the rules themselves (rather than their values) change very rapidly.

Defeasible reasoning is a rule-based approach for efficient reasoning with incomplete and inconsistent information. Such reasoning is, among others, useful for ontology integration, where conflicting information arises naturally; and for the modeling of business rules and policies, where rules with exceptions are often used. This paper describes these scenarios in more detail, and reports on the implementation of a system for defeasible reasoning on the Web. The system (a) is syntactically compatible with RuleML; (b) features strict and defeasible rules, priorities and two kinds of negation; (c) is based on a translation to logic programming with declarative semantics; (d) is flexible and adaptable to different intuitions within defeasible reasoning; and (e) can reason with rules, RDF, RDF Schema and (parts of) OWL ontologies.

"In other words, someone (U) is an “uncle”, if one has a brother(F), who(F) also happens to be a parent of someone else (_)." very nice.
page contains alot of good refernce material.

The system expects a human developer to create ontologies in the formalisms of OWL-DL (Web Ontology Language for Description Logic) along with rules in SWRL (the Semantic Web Rule Language) or RuleML (the Rule Markup Language). Then, at compile time, this information is translated into Prolog code using XSLTs (Extensible Stylesheet Language Transformations). In addition, a Prolog program called ‘General Rules’, which is meant to capture the semantics of OWL's primitives, is appended to the XSLT output to form a complete Prolog program.

While many different technologies and schemas exist and could be combined together, there isn't a single technology which provides enough information to richly represent any web page within the social graph. The Open Graph protocol builds on these existing technologies and gives developers one thing to implement. Developer simplicity is a key goal of the Open Graph protocol which has informed many of the technical design decisions.

This site introduces ontologies and semantic web, with the emphasis on how ontologies are defined and used for semantic web applications today (more about this site background is here). This tutorial is extracted from the introductory chapter of the dissertation that deals with the applications of ontologies in multi-agent systems - Marek Obitko (advisor Vladimir Marik): Translations between Ontologies in Multi-Agent Systems, Ph.D. dissertation, Faculty of Electrical Engineering, Czech Technical University in Prague, 2007.

"Like the 5,000 person-name subject headings released last October, we have mapped our latest crop of subject headings to DBpedia, Freebase and — in the case of our geographic subject headings — GeoNames."

there actually are uses for properties which can be applied to themselves. For example, if you want to use RDF properties to define a schema, you probably want to have a "documentation" property, and certainly the documentation property should have its own documentation.

The OBO Foundry is a collaborative experiment involving developers of science-based ontologies who are establishing a set of principles for ontology development with the goal of creating a suite of orthogonal interoperable reference ontologies in the biomedical domain. The groups developing ontologies who have expressed an interest in this goal are listed below, followed by other relevant efforts in this domain.

Sesame. Sesame is an open source framework for storage, inferencing and querying of RDF data. Here, developers and users can meet and discuss, ask questions and submit problem reports for anything related to Sesame and Sesame-related software that is also hosted on this site.

Sesame is an Aduna Open Source project. Commercial support for Sesame is available from www.aduna-software.com. Other Aduna Open Source projects are available from www.aduna-software.org.

D2RQ is a declarative language to describe mappings between relational database schemata and OWL/RDFS ontologies. The D2RQ Platform uses these mapping to enables applications to access a RDF-view on a non-RDF database through the Jena and Sesame APIs, as well as over the Web via the SPARQL Protocol and as Linked Data.

Bob DuCharme's weblog, mostly on technology for representing and linking information.

SPARQL (pronounced "sparkle" [1]) is an RDF query language; its name is a recursive acronym that stands for SPARQL Protocol and RDF Query Language. It was standardized by the RDF Data Access Working Group (DAWG) of the World Wide Web Consortium, and is considered a key semantic web technology. On 15 January 2008, SPARQL became an official W3C Recommendation. [2]

Welcome to the Semantic Web Conference Corpus - a.k.a. the Semantic Web Dog Food Corpus! Here you can browse and search information on papers that were presented, people who attended, and other things that have to do with the main conferences and workshops in the area of Semantic Web research.

This project is concerned with the development of improved standards and technology for storing and retrieving the semantics of data elements, terminologies, and concept structures in metadata registries.

GraphPath is a little-language for analysing graph-structured data, especially RDF. The syntax of GraphPath is reminiscent of Xpath. It has a python implementation that can be teamed up with your favourite python RDF API (e.g. Redland, rdflib, or your own

The column-oriented Vertica Database uses technique similar to that uses in MonetDB

This article leads you through the aspects of both information architecture and general infrastructure you need in place to truly take advantage of this burgeoning opportunity.

SKOS is an area of work developing specifications and standards to support the use of knowledge Organization systems (KOS) such as thesauri, classification schemes, subject heading systems and taxonomies within the framework of the Semantic Web

he Tabulator project is a generic data browser and editor. Using outline and table modes, it provides a way to browse RDF data on the web. RDF is the standard for inter-application data exchange.

Onkel Knud a.k.a. Meista Möllähhh hat'n neuen Blog ... ratt-ttenscharf sach ich nur ... Now serious: Knud Möller - light-weight semantic desktop tools