Group items tagged

Representational state transfer (REST) is a style of software architecture for distributed hypermedia systems such as the World Wide Web. The term representational state transfer was introduced and defined in 2000 by Roy Fielding in his doctoral dissertation.[1][2] Fielding is one of the principal authors of the Hypertext Transfer Protocol (HTTP) specification versions 1.0 and 1.1.[3][4]

DFDF - A Descriptive Approach to Data Standardization Data standardization is fundamentally prescriptive; no information system can solve the data integration problem without enforcing certain rules. But the challenge remains at where the rules should be prescribed. Most existing data standards prescribe the rules over the data itself. Excessive use of such an approach, however, leads to inefficient data representation. The alternative approach is to enforce the conforming rules over the description of the data so that data itself can be encoded in any manner. By developing ontologies for describing the data format and software libraries that can understand the ontology, this descriptive approach to data standardization will provide maximal flexibility in data representation while still ensuring the data interoperability.

The Semantic Web -- Semantic Data Representation

TemaTres is an open source vocabulary server, web application to manage and exploit vocabularies, thesauri, taxonomies and formal representations of knowledge. TemaTres require PHP, MySql and HTTP Web server.

Glass.health: Generate a DDx/clinical plan from a short diagnostic problem representation (glass.health).

Zhe Research Group Agile Knowledge Engineering and Semantic Web (AKSW) is hosted by the Chair of Business Information Systems (BIS) of the Institute of Computer Science (IfI) / University of Leipzig as well as the Institute for Applied Informatics (InfAI). Development of methods, tools and applications for adaptive Knowledge Engineering in the context of the Semantic Web Research of underlying Semantic Web technologies and development of fundamental Semantic Web tools and applications Maturation of strategies for fruitfully combining the Social Web paradigms with semantic knowledge representation techniques

The YAGO-NAGA project started in 2006 with the goal of building a conveniently searchable, large-scale, highly accurate knowledge base of common facts in a machine-processible representation.

The (semantic) web is one of the most promising application areas for SWI-Prolog. Prolog handles the semantic web RDF model naturally, where RDF provides a stable model for knowledge representation with shared semantics. It turns out that Prolog is also quite capable of providing web-services (HTTP), especially where it comes to dynamic generation of HTML pages and providing data for Javascript web-applications using the JSON serialisation.

KSL conducts research in the areas of knowledge representation and automated reasoning in the Artificial Intelligence Laboratory of the Department of Computer Science at Stanford University. Current work focuses on enabling technology for the Semantic Web, hybrid reasoning, explaining answers from heterogeneous applications, deductive question-answering, representing and reasoning with multiple contexts, knowledge aggregation, ontology engineering, and knowledge-based technology for intelligence analysts and other knowledge workers.

The MARC formats are standards for the representation and communication of bibliographic and related information in machine-readable form.

This project aims to open up the semantic web to a wide audience through novel techniques that allow viewing and editing of semantic web representation languages in ordinary natural language, as opposed to the methods currently used, such as source coding or graphical interfaces, which require significant training.

Flora-2 is an advanced object-oriented knowledge representation and reasoning system. It is a dialect of F-logic with numerous extensions, including meta-programming in the style of HiLog, logical updates in the style of Transaction Logic, and defeasible reasoning. Applications include intelligent agents, Semantic Web, knowledge-bases networking, ontology management, integration of information, security policy analysis, and more.

Treo: Schema-agnostic queries over databases Treo is a Semantic Search and Question Answering System for Databases. Treo is designed to cope with the Big Data vision of handling very heterogeneous (schemaless) databases, a scenario where it becomes unfeasible for data consumers to understand the representation of the data in order to query the database.

a standard conversation of Princeton WorldNet to RDF/OWL

Description: XML, RDF, OWL, Knowledge Representation, Ontology, Reasoning, Agent, Semantic Web, Knowledge Management.

The Gene Ontology project is a major bioinformatics initiative with the aim of standardizing the representation of gene and gene product attributes across species and databases. The project provides a controlled vocabulary of terms for describing gene product characteristics and gene product annotation data from GO Consortium members, as well as tools to access and process this data.

The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies. The languages are characterised by formal semantics and RDF/XML-based serializations for the Semantic Web. OWL is endorsed by the World Wide Web Consortium[1] and has attracted academic, medical and commercial interest.

Twarql - Streaming Annotated Tweets project ("twarql") In this project we investigate the representation of tweets as RDF in order to enable flexibility in handling the information overload of those interested in collectively analyzing social media for sensemaking.

MindRaider is personal notebook and outliner. It aims to connect the tradition of outline editors with emerging technologies. MindRaider mission is to help you in organization of your knowledge and associated web, local and realworld resources in a way that enables quick navigation, concise representation and inferencing.

This specification describes the FOAF language, defined as a dictionary of named properties and classes using W3C's RDF technology.FOAF is a project devoted to linking people and information using the Web. Regardless of whether information is in people's heads, in physical or digital documents, or in the form of factual data, it can be linked. FOAF integrates three kinds of network: social networks of human collaboration, friendship and association; representational networks that describe a simplified view of a cartoon universe in factual terms, and information networks that use Web-based linking to share independently published descriptions of this inter-connected world. FOAF does not compete with socially-oriented Web sites; rather it provides an approach in which different sites can tell different parts of the larger story, and by which users can retain some control over their information in a non-proprietary format.