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SBSGRID Technology

A Positioning

SBSGRID is a semantic factbase, search/query & reasoning engine that offers a unique combination of the following three components into one coherent solution:

Why SBSGRID
Technology Positioning
SearchQuery Explained

Fusion of Semantic Query/Reasoner and Context Aware Full Text Server (FTS)
Dynamic Schema Management (Dynamic Ontologies)
High Performance Distributed In-Memory Technology

This translates into three critical features for next generation semantic solutions:

Superset of SPARQL Functionality
Inherent SearchQuery Capability
Speed & Scalability Scale-Out¹

Application scenarios:

1 One Database 2 n Databases 3 Web / Plain Text 4 DB & Web

Intelligent Information Access	SBSGRID eliminates the need of having to know the keywords in order to find information (precise, contextual, associative & unambiguous).
Information Linking	SBSGRID links information and makes it accessible from one place (no separate and user unfriendly "advanced search screens").
Unlocking Hidden Semantics	SBSGRID retains the hidden semantics from the DB and makes all implicit information instantly accessible.
Information Enrichment	SBSGRID exposes additional dimensions (ex: GEO- or TIME) through its contextual, linked-data factbase.

Comparison tables:

SBSGRID relative to Semantic Search Products:

Graph:Graph_1

SBSGRID relative to Triple/Graph Engines:

Graph:Graph_1

¹The "Scalability Scale-Out Model" comes from distributed shared memory systems and refers to the ability of application transparent in-memory data striping.

"SBSGRID In 10 Seconds"

This is SBSGRID

The Company

High Performance Reasoning

Intelligent Data

Intelligent Software

Global Information Linking

Thinking Ahead

Slide Presentations

SearchQuery Explained

SBSGRID Overview

White Papers

Meaning based Information Linking

Visual Linked-Data Publisher

General

FAQ

Industry Linked Data Clouds

What are Linked-Data?

Linked-Data Testimonials

SBSGRID in 10 Seconds

SBSGRID injects intelligence into your software. The system learns from all information added by putting it into an overall information context. Through a "SearchQuery" the user (or software agent) instantly finds what he is looking for. IT budgets are turned into sustainable investments because the static information model approach is eliminated. Productivity and intelligence in the system and between systems are brought to the next level.

Cross Database Linking	SBSGRIDs dynamic schema enables data co-existence over data merging. Separate silo publishing becomes easy. Data alignment is done any time.
Publish Incrementally	SBSGRIDs dynamic schema allows for incremental, "pay as you go" publishing and alignment of data.
Virtual Merging	SBSGRID links data in a virtual fashion. No hard coded merging needs to be conducted. This is the key going forward.
Instant Access	After publishing all linked information is instantly accessible for the user through contextual queries in a search experience.

Tapping Into New Information Sources	SBSGRID leverages 3rd party NLP and semantic crawler products. New information is contextually linked-in and made accessible.
Access the Deep Web	Access data that search engines do not find through contextual information linking and crawling.
Information Discovery	Contextual, associative, unambiguous as well as structural search allows for the discovery of information patterns.

Tapping Into New Information Sources	The information from the DB functions as the corpus for the crawler. New information is contextually linked-in and made accessible.
Access the Deep Web	Access data that search engines do not find through contextual information linking and crawling.
Information Enrichment	New information from unstructured sources is linked with structured sources. Overall information quality is significantly enriched.