Group items tagged

Jersey is the open source (under dual CDDL+GPL license) JAX-RS (JSR 311) Reference Implementation for building RESTful Web services. But, it is also more than the Reference Implementation. Jersey provides additional APIs and extension points (SPIs) so that developers may extend Jersey to suite their needs.

KHarvester (Informal Knowledge Harvester) is a SOA layer which collects RDF data from web pages. It provides REST based Web Services for managing data available on Social Semantic Information Sources (SSIS): semantic blogs, semantic wikis, and JeromeDL (the Social Semantic Digital Library). These Web Services allow saving harvested data in the informal knowledge repository, and providing them in a form of informal Learning Objects (LOs) that are described accroding to LOM (Learning Object Metadata) standard. Also, IKHarvester is an extension to Didaskon system. Didaskon (διδάσκω - gr. teach) delivers a framework for composing an on-demand curriculum from existing Learning Objects provided by e-Learning services (formal learning). Moreover, the system derives from SSIS which provide informal knowledge. Then, the selection and work-flow scheduling of Learning Objects is based on the semantically annotated specification of the user's current skills/knowledge (pre-conditions), anticipated resulting skills/knowledge (goal) and technical details of the clients platform.

JAX-RS: Java API for RESTful Web Services

Apache CouchDB is a distributed, fault-tolerant and schema-free document-oriented database accessible via a RESTful HTTP/JSON API. Among other features, it provides robust, incremental replication with bi-directional conflict detection and resolution, and is queryable and indexable using a table-oriented view engine with JavaScript acting as the default view definition language.

Semantic Cloud is the API that powers semantic search engine SenseBot and contextual linking tool for bloggers LinkSensor. The API supports SOAP and REST protocols (HTTP GET). The idea is to empower semantic startups or any ventures that are looking to utilize an affordable high-quality semantic solution to build their applications. Semantic API features include: * extraction of semantic concepts from a page or document; * creating a "semantic cloud" of concepts describing a group of documents; * generating a multi-document summary of a set of pages; * generating an essay on a topic based on a set of documents. Multiple parameters allow the client to control the type and format of results.

A tag cloud is a list of words in different sizes and colors, with or without a sense of depth (3D), meant to represent the statistical importance of keywords mentioned in a particular document base (a blog, a website, twitter,…). It serves as an indicator of the relative importance of the use of certain ideas in the document base at hand. It is a bottom-up, very fuzzy method for the synthesis of knowledge from an arbitrarily big aggregate of (text) data. Because it rests entirely on statistics, very often there is absolutely no relationships between the keywords of a tag cloud. Worse even, if they existed (by pure chance), there is absolutely no way of finding out about the meaning of those relationships.