SemanticWeb Research

Synonyms computational ontology, semantic data model, ontological engineering Definition In the context of computer and information sciences, an ontology defines a set of representational primitives with which to model a domain of knowledge or discourse. The representational primitives are typically classes (or sets), attributes (or properties), and relationships (or relations among class members). The definitions of the representational primitives include information about their meaning and constraints on their logically consistent application.

In September's edition of the Semantic Web Gang, regular members are joined by three guests to discuss the investment potential of the Semantic Web and semantic technologies. With continuing investment in (and acquisition of) companies for whom semantic technologies are a key part of their proposition, we explore the extent to which investors are interested in 'semantic technology' per se, and look at recent investments from Union Square Ventures to illustrate the wider discussion. A number of entrants to this year's TechCrunch 50 event feature a semantic technology focus, and we also look at these with the help of Union Square's Brad Burnham, TechCrunch's Erick Schonfeld, and VentureBeat's Chris Morrison.

Since 1994, TextWise has been designing, building and implementing complex content-driven technology solutions that have one unifying objective: To understand the meaning of text for the purpose of delivering useful, scalable, and relevant semantic applications. TextWise has developed some of the seminal work in text extraction and was one of the early developers of NLP search engine technology fueled by the US intelligence agencies' requirement for "smart" communications.

A complex set of extensions to the World Wide Web, the Semantic Web will make data and services more accessible to computers and useful to people. Some of these extensions are being deployed, and many are coming in the next years. This is the only book to explore the territory of the Semantic Web in a broad and conceptual manner. This Guide acquaints you with the basic ideas and technologies of the Semantic Web, their roles and inter-relationships. The key areas covered include knowledge modeling (RDF, Topic Maps), ontology (OWL), agents (intelligent and otherwise), distributed trust and belief, "semantically-focused" search, and much more. The book's basic, conceptual approach is accessible to readers with a wide range of backgrounds and interests. Important points are illustrated with diagrams and occasional markup fragments. As it explores the landscape it encounters an ever-surprising variety of novel ideas and unexpected links. The book is easy and fun to read - you may find it hard to put down.

Showing 364 publications - semantic web

Franz Inc. is the leading supplier of commercial, persistent and scalable RDF Graph Database products. AllegroGraph RDFStore provides the solid storage layer for powerful reasoning and ontology modeling capabilities. Franz's semantic technology solutions are uniquely positioned to help bring your Web 3.0 ideas to reality.

IBM To represent the Semantic Web, you'll use the following technologies: * A global naming scheme (URIs) * A standard syntax for describing data (RDF) * A standard means of describing the properties of that data (RDF Schema) * A standard means of describing relationships between data items (ontologies defined with the OWL Web Ontology Language) Let's take a closer look at these technologies.

The use of the semantic web in education is explored. Two application areas for use are discussed: a) software agents that support teachers in performing their tasks in flexible online educational settings, and b) software agents that interpret the structure of distributed, self-organized, self-directed learning networks for lifelong learning. The resulting information is used by learners to help persons them perform their tasks in this context more effectively and efficiently.

Gabriela Groseck

Free mind mapping via Web application

Now we are able to define a Service Oriented Architecture (SOA). SOA is an architectural style whose goal is to achieve loose coupling among interacting software agents. A service is a unit of work done by a service provider to achieve desired end results for a service consumer. Both provider and consumer are roles played by software agents on behalf of their owners.

Vic's compendium of software that supports knowledge management and information organisation in graphical form. Includes mind mappers, concept mappers, outliners, hierarchical organisers, KM support and knowledge browsers, 2D and 3D. The opinions are Vic's but material in quotes that follows "What they say" is quoted from the vendors' web sites. Product names used in this web site are for identification purposes only and trademarks are the property of their respective owners. Please let me know of any software that isn't here but should be: Vic at the above domain.

This document is designed as being a simple but comprehensive introductory publication for anybody trying to get into the Semantic Web: from beginners through to long time hackers. Recommended pre-reading: the Semantic Web in Breadth.

IBM New semantic information management schemes enable companies to make better use of their information. What exactly is semantics? And how can semantics technology help your development efforts? Juhnyoung Lee, a researcher at the IBM T. J. Watson Research Center, reviews the basics in order to get you started. More >

OWL Resource: definitions, specifications, etc.

Oracle Spatial 11g introduces the industry's first open, scalable, secure and reliable RDF management platform. Based on a graph data model, RDF triples are persisted, indexed and queried, similar to other object-relational data types. The Oracle 11g RDF database ensures that application developers benefit from the scalability of Oracle 11g to deploy scalable and secure semantic applications. Application areas include: * Life Sciences: Biological pathway analysis, discovery and enhanced search. * Defense & Intelligence: Data and content integration, reasoning and inference. * Enterprise Application Integration: Data and systems integration, semantic enterprise integration and semantic web services. * CRM/ERP: Supply chain integration, sourcing optimization and customer service automation.

Ontotext is a leading developer of core semantic technology. We have applications in multiple areas, among which: Web-mining, EAI, KM, BI, Media Research, and Life Sciences. Our brochure is avaliable here. More about us ...

John F. Sowa - This is a revised and extended version of an article that was originally written for the Encyclopedia of Artificial Intelligence, edited by Stuart C. Shapiro, Wiley, 1987, second edition, 1992. A semantic network or net is a graphic notation for representing knowledge in patterns of interconnected nodes and arcs. Computer implementations of semantic networks were first developed for artificial intelligence and machine translation, but earlier versions have long been used in philosophy, psychology, and linguistics. What is common to all semantic networks is a declarative graphic representation that can be used either to represent knowledge or to support automated systems for reasoning about knowledge. Some versions are highly informal, but other versions are formally defined systems of logic. Following are six of the most common kinds of semantic networks, each of which is discussed in detail in one section of this article.

Latent Semantic Analysis @ CU Boulder Demonstration tools that use LSA.

Semantic technologies improve the way we work with information, in ways that current IT architectures and methodologies cannot. Semantic Power creates value by linking knowledge. Aduna applies semantic technology to the following areas: * Search & Discovery * eCommerce * Targeted Advertising Read more...