Haystack 4 Data Modeling Standard is Now in Public Review
The Project Haystack Organization, a collaborative community addressing the challenge of utilizing semantic modeling and tagging to streamline the interchange of data among different systems, devices, equipment and software applications, today announced that Haystack 4, the next generation of the Project Haystack data modeling standard, is now in public review.
RICHMOND, Va., May 6, 2019 /PRNewswire-PRWeb/ -- The Project Haystack Organization (https://www.project-haystack.org), a collaborative community addressing the challenge of utilizing semantic modeling and tagging to streamline the interchange of data among different systems, devices, equipment and software applications, today announced that Haystack 4, the next generation of the Project Haystack data modeling standard, is now in public review.
"Understanding the need for semantic modeling of device and equipment data has matured significantly in the last decade and the requirements and techniques for applying semantic modeling to equipment data are advancing rapidly. Haystack 4 builds on the 8+ years of experience in applying Haystack across thousands of buildings worldwide, the input from practitioners in the community throughout that time, as well the collaborators that have participated in the activities of Haystack Working Groups," said John Petze, Executive Director of Project Haystack.
Major enhancements to the Haystack 4 data modeling standard include:
- A formalized structure to define "types" and "subtypes" to support definition of hierarchical taxonomies of equipment systems and sub-components.
- The enhanced ability to define taxonomies and ontologies for complex equipment systems enables semantic modeling of energy and resource flows through systems.
- Another major new feature of Haystack 4 is support for RDF/Linked Data. RDF (Resource Description Framework) is a set of World Wide Web Consortium (W3C) specifications for representing meta data. Haystack 4 has been designed to provide high-fidelity RDF expression of Haystack models. This allows software developers to utilize Haystack tagging with the RDF techniques and semantic modeling tools they may be familiar with, without losing compatibility with the tag-oriented approach typically used by industry practitioners and tools designed for use by people in the field.
- Enhanced querying and search based on the ability to infer relationships due to the more advanced data modeling features of Haystack 4.
A new website with comprehensive documentation on Haystack 4 has been launched at https://project-haystack.dev/ and Haystack 4 will be a major focus of Project Haystack's biennial Haystack Connect Conference taking place May 13-15 in San Diego, California. Details on the conference can be found at: https://www.haystackconnect.org.
The Project Haystack Organization consists of Founding Member and Board Member companies Conserve It, Intel®, J2 Innovations, Legrand, Lynxspring, Siemens and SkyFoundry, and Associate Member companies Accu-Temp Systems, Altura Associates, BASSG, Bueno Systems, BuildingFit, CABA, Energy Management Association, Intellastar, Intelligent Buildings, IoT Warez, KMC Controls, KNX Association, Kodaro, sensorFact, Tridium, VRT Systems, Wattsense and Yorkland Controls.
About Project Haystack
Project Haystack is a 501(c) tax-exempt non-stock corporation formed May 28, 2014 under the provisions of Chapter 10 of Title 13.1 of the Code of Virginia of 1950. The corporation functions as a trade association with the purpose of fostering the common association and interests of software and technology companies focused on developing semantic modeling solutions for data related to smart devices including: building equipment systems, automation and control devices, sensors and sensing devices, promotion and education with respect to the semantic data modeling industry for building automation systems, and to engage in educational activities directed towards the improvement of business conditions of the semantic data modeling industry for smart device data, all on a not-for-profit basis, as provided in Section 501(c)(6) of the Internal Revenue Code of 1986, as amended (the "Code").
All work developed by the Project Haystack community is provided for use as open source software under the Academic Free License 3.0 (https://project-haystack.org/doc/License). More information about Project Haystack is available at: https://www.project-haystack.org.
Intel is a registered trademark of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
Contacts:
Robin Bestel
Project Haystack, Marketing Manager
Editor, Connections Magazine
[email protected]
John Petze
Project Haystack, Executive Director
Principal, SkyFoundry
[email protected]
Marc Petock
Project Haystack, Executive Secretary
Chief Marketing & Communications Officer
Lynxspring, Inc.
[email protected]
SOURCE Project Haystack
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