Group items tagged

"Semantic Search Startups"

"Semantic Web Startups. $5M AVERAGE VALUATION"

"GraphDB ™ is a semantic graph database that serves organizations to store, organize and manage content in the form of semantically enriched smart data."

A broad and in-depth perspective of the world NOW Discover new and interesting news, aggregated from various sources in categories. Enjoy their semantically enriched content and get the advantage of the knowledge behind. Focus on the trends to see the top mentioned concepts for a particular period of time. Browse to see articles with similar semantic fingerprints.

ShriGB - A Semantic Financial Search Engine Leveraging Big Data & Extracting Valuable Insights

Roistr's Semantic Relevance Engine can analyse that information like a human so you can discover the meaning. With that, you can cluster or match similar documents and compare them against each other.

"Semantic Content Engine The word ontology has many definitions, but for content management and computer science, Wikipedia refers to it as: "a model for describing the world that consists of a set of types, properties, and relationship types.""

big adata meets Semantic Web.

"Open Framework of E-services for Multilingual and Semantic Enrichment of Digital Content"

"The Self-Service Semantic Suite (S4) provides a set of services for low-cost, on-demand text analytics and metadata management on the cloud."

Super Stream Collider (SSC) is a platform, which provides a web-based interface and tools for building sophisticated mashups combining semantically annotated Linked Stream and Linked Data sources into easy to use resources for applications. The system includes drag&drop construction tools along with a visual SPARQL/CQELS editor and visualization tools for novice users while supporting full access and control for expert users at the same time. Tied in with this development platform is a cloud deployment architecture which enables the user to deploy the generated mashups into a cloud, thus supporting both the design and deployment of stream-based web applications in a very simple and intuitive way.

The Bitext API is a suite of multilingual semantic services designed specifically for the needs of clients who offer solutions processing user-generated content such as customer experience management tools or voice of the customer analytics.

SMW+ is a semantic enterprise wiki. SMW+ is well suited for organisations or teams dealing with complex and informal workflows. SMW+ offers a rich feature set to create, share, publish and re-use knowledge contained in wiki contents. 

"Expert System's Semantic Technology powers a new level of discovery, unlocking intelligence hidden in text, from internal documents to social networks, emails and presentations."

Symbolab is a semantic web search engine for math and science. It allows users to search for equations, formulas and expressions using mathematical symbols and scientific notations as well as full text search. The stated goal of the site is to provide the most relevant search results that are theoretically and semantically similar, rather than visually.

Delivering Semantic Web Services - Directly to Your Desktop Gnosis is a browser extension for Firefox and Internet Explorer that automatically analyzes content as you browse and provides a variety of tools to explore the people, places, companies, and other items that you're reading about.

Wikidsmart turns your enterprise wiki into an information collaboration dashboard, delivering: structure to your wiki; semantic capture of information within the wiki; deep interoperability with other applications and tools; exposure of information from other tools and applications; and smart search across all tools and applications.

LOV, your entry point to the growing ecosystem of linked open vocabularies (RDFS or OWL ontologies) used in the Linked Data Cloud. Here you will find vocabularies listed and individually described by metadata, classified by vocabulary spaces, interlinked using the dedicated vocabulary VOAF. You will enjoy querying the LOV dataset either at vocabulary level or at element level, exploring the vocabulary content using full-text faceted search, and finding metrics about the use of vocabularies in the Semantic Web.