Tools - Semantic Web Standards Overview This Wiki contains a collection of tool references that can help in developing Semantic Web applications. These include complete development environments, editors, libraries or modules for various programming languages, specialized browsers, etc. The goal is to list such tools and not Semantic Web applications in general (the interested reader may consider looking at the W3C SW Use Case Collection for those.) The tool content of this wiki is still to be maintained by the community and not by the W3C staff. Search possibilities The current Wiki contains references to 336 tools. Search through categories, i.e., reasoners, programming environments, browsers, etc. Last modified/added Tool Data in RDF There is also an option to get one RDF/XML graph for all tools. Other resources There are other pages on tool collection out there, largely overlapping with this, but possibly with a different granularity or emphasis. Sweet Tools maintained by Michael K. History
opds-spec.org | Open Publishing Distribution System Books - Semantic Web Standards This page contains information on books that are strictly on the Semantic Web and Linked Data. There are, of course, lots of other books on Knowledge Representation, Logic, XML, Databases, etc, that are all relevant for the Semantic Web, but adding these to this list would be counter productive… Keeping such list up-to-date is obviously a problem. The order in the listings below does not reflect any assessment of the product or tool; simple year and alphanumeric order is used. Beyond the obvious sources (Amazon and other listings), the initial set in this list reused publication lists that were published elsewhere, eg, Nova Spivak’s Listmania list, or the lists maintained by Danny Ayers or Uldis Bojārs a.k.a. Thanks to the book mashup service set up by Chris Bizer and friends the RDF data (providing such information as Amazon's relevant data) for most of the books is also available. Textbooks
C Semantic Web Activity The Semantic Web is a web of data. There is lots of data we all use every day, and it is not part of the web. I can see my bank statements on the web, and my photographs, and I can see my appointments in a calendar. But can I see my photos in a calendar to see what I was doing when I took them? Can I see bank statement lines in a calendar? Why not? The Semantic Web is about two things. See also the activity news for an account of recent events, publications, etc. The following groups are part of the Semantic Web Activity. Active Groups Semantic Web Coordination Group The Semantic Web Coordination Group is tasked to provide a forum for managing the interrelationships and interdependencies among groups focusing on standards and technologies that relate to this goals of the Semantic Web Activity. RDFa Working Group RDF Working Group The mission of the RDF Working Group, is to update the 2004 version of the Resource Description Framework (RDF) Recommendation. Linked Data Platform Working Group
OWL at Manchester RDF - Semantic Web Standards Overview RDF is a standard model for data interchange on the Web. RDF has features that facilitate data merging even if the underlying schemas differ, and it specifically supports the evolution of schemas over time without requiring all the data consumers to be changed. RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link (this is usually referred to as a “triple”). Using this simple model, it allows structured and semi-structured data to be mixed, exposed, and shared across different applications. This linking structure forms a directed, labeled graph, where the edges represent the named link between two resources, represented by the graph nodes. Recommended Reading The RDF 1.1 specification consists of a suite of W3C Recommendations and Working Group Notes, published in 2014. A number of textbooks have been published on RDF and on Semantic Web in general. Discussions on a possible next version of RDF
Knowledge representation and reasoning Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) devoted to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets. Examples of knowledge representation formalisms include semantic nets, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers. Overview[edit] This hypothesis was not always taken as a given by researchers. History[edit] Characteristics[edit]
Ontology (information science) In computer science and information science, an ontology formally represents knowledge as a hierarchy of concepts within a domain, using a shared vocabulary to denote the types, properties and interrelationships of those concepts.[1][2] Ontologies are the structural frameworks for organizing information and are used in artificial intelligence, the Semantic Web, systems engineering, software engineering, biomedical informatics, library science, enterprise bookmarking, and information architecture as a form of knowledge representation about the world or some part of it. The creation of domain ontologies is also fundamental to the definition and use of an enterprise architecture framework. The term ontology has its origin in philosophy and has been applied in many different ways. What many ontologies have in common in both computer science and in philosophy is the representation of entities, ideas, and events, along with their properties and relations, according to a system of categories.
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.