|
|
Features
Discovery and Navigation
Crawl and index data services to visualize, discover linkages, and monitor integrated data.
Query
Single integrated search across disparate data sources.
Query against a concept, i.e. person, news, credit history.
Develop routine queries based upon semantic concepts and relationships (ontology).
Create new ad-hoc queries to automate analyst queries.
Reasoning
Applies semantic algorithms that simplify the decision process.
|
|
|
Benefits Information superiority
Better situational awareness
Quicker decision making
Improved productivity and efficiency
Leverages legacy applications
|
|
|
Typical Applications
Command and Control
Intelligence, Surveillance, and Reconnaissance
Intelligence Community
Disaster Response
|
|
|
How Wave Works
Wave uses an ontology or conceptual model to unify and resolve semantic conflicts among data sources. An ontology is a representation of domain knowledge in the form of concepts, relationships, and rules. Wave automatically transforms a conceptual model to a deployable logical model of enterprise data services using the industry standard Web Ontology Language (OWL). Once the model is deployed, enterprise data can be fully queried upon integration without additional coding. The Wave data services layer is part of a service-oriented architecture that supports flexible, user-driven ad-hoc queries and semantic search.
|
|
|
Wave Architecture Provides for real-time, event processing of data across distributed sources.
Reusable, flexible, and scalable leveraging legacy and future applications.
Wave Studio — Allows developers to perform graphical ontology modeling and verification as well as providing one-step deployment.
Wave Real-Time (Communication Layer) — Provides highly scalable, semantically aware, real-time event processing as well as legacy supervisory control and data acquisition (SCADA) integration.
Wave Federator — Provides ability to perform queries, visualization and browsing, and legacy database integration.
Wave Reasoner — Provides real-time semantic reasoning, the ability to infer conclusions from events, and support for multiple rules engines.
Standards Supported:
Web Services stack (WSDL, SOAP, XML, HTTP/S), XQuery, SQL, Apache Lucene, OpenJMS Java Messaging Service, Jena, OWL DL, WebDAV.
|
|
|
|
What is an Ontology?
An ontology can be thought of as a human understandable model of the knowledge in a business domain – used to create a unified picture of both structured and unstructured information. A common model defines business concepts, relationships and a set of rules. It provides a way to access and manage data from multiple sources, facilitate understanding, and enable rapid use by software applications.
The Wave product adds ontology support to AquaLogic Data Services Platform, providing an abstract or conceptual model that serves as the basis for data integration and services. Wave provides the tools to semantically integrate information across the enterprise and then deliver unified and consistent access to that information.
|
|
