Live Information Objects

2011 ◽  
Author(s):  
Kenneth P. Birman
Keyword(s):  
Information Objects

New grounds for ontic trust: Information objects and LIS

2017 ◽  
Vol 33 (1) ◽  
pp. 37-54 ◽  
Author(s):  
Betsy Van der Veer Martens
Keyword(s):  
Trust Information ◽  
Information Objects

scholarly journals Distributed Immersive Participation as Crowd-Sensing in Culture Events

2014 ◽  
Vol 7 (2) ◽  
Author(s):  
Theo Kanter ◽  
Rahim Rahmani ◽  
Jamie Walters ◽  
Willmar Sauter
Keyword(s):  
Internet Of Things ◽  
Distributed Computing ◽  
Real Time ◽  
Social Innovation ◽  
The Internet ◽  
New Paradigm ◽  
Content Creation ◽  
Crowd Sensing ◽  
Information Objects

This article investigates new forms for creating and enabling massive and scalable participatory immersive experiences in live cultural events, characterized by processes, involving pervasive objects, places and people. The multi-disciplinary research outlines a new paradigm for collaborative creation and participation towards technological and social innovation, tapping into crowd-sensing. The approach promotes user-driven content-creation and offsets economic models thereby rewarding creators and performers. In response to these challenges, we propose a framework for bringing about massive and real-time presence and awareness on the Internet through an Internet-of-Things infrastructure to connect artifacts, performers, participants and places. Equally importantly, we enable the in-situ creation of collaborative experiences building on relevant existing and stored content, based on decisions leveraging multi-criteria clustering and proximity of pervasive information, objects, people and places. Finally, we investigate some new ways for immersive experiences via distributed computing but pointing forward to the necessity to do more with regard to collaborative creation.

Design of Information Spaces and Retrieval of Information using Electrostatics in Virtual Spaces

2016 ◽  
pp. 196-205
Author(s):  
Vaibhav Madhok ◽  
Navin Rustagi
Keyword(s):  
Conceptual Framework ◽  
Physical Environment ◽  
Virtual Team ◽  
Information Space ◽  
Information Spaces ◽  
Virtual Spaces ◽  
Information Objects

Humans have a rich awareness of locations and situations that directs how we interpret and interact with our surroundings. The principle aim of this paper is to create ‘Information Spaces' where people will use their awareness to search, browse and learn. In the same way that they navigate in a physical environment, they will navigate through knowledge. An information space is a type of design in which representations of information objects are situated in a principled space. In this chapter we present an architecture based on the principles of electrostatistics, which presents a model for design of information spaces. Our model gives an easy conceptual framework to reason about how information can be represented as well as secure ways of extracting and storing information leading to a design which are easily scalable in virtual team environments.

IETM Database Design Based on Native XML Database Technology

2014 ◽  
Vol 971-973 ◽  
pp. 1624-1627
Author(s):  
Jun Zhang ◽  
Jian Qiang Zhang ◽  
Hong Yan Zhao
Keyword(s):  
Design Method ◽  
Great Influence ◽  
Production Method ◽  
Module Structure ◽  
Information Control ◽  
Xml Database ◽  
Index Model ◽  
Database Technology ◽  
Native Xml Database ◽  
Information Objects

Database is the foundation of making IETM, database structure has great influence to the TETM production method and use efficiency. Aiming at the defects when using relational database to process XML documents, According to the characteristics of IETM data module and information objects under S1000D standard, native XML database needed to meeting the conditions were analyzed, using a native XML database technology to structure IETM data Module and information set; and giving data module code, information objects, information control composition structure codes of the data module structure, gives the design method of IETM database storage and index model, which can effectively avoid the traditional the deficiency of IETM database support for XML technology.

scholarly journals An Efficient Correlation-Based Cache Retrieval Scheme at the Edge for Internet of Things

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6846
Author(s):  
Ngoc-Thanh Dinh ◽  
Young-Han Kim
Keyword(s):  
Internet Of Things ◽  
Semantic Information ◽  
Data Caching ◽  
Semantic Correlation ◽  
Iot Applications ◽  
Information Object ◽  
Retrieval Scheme ◽  
Iot Devices ◽  
Approximate Answer ◽  
Information Objects

Existing caching mechanisms considers content objects individually without considering the semantic correlation among content objects. We argue that this approach can be inefficient in Internet of Things due to the highly redundant nature of IoT device deployments and the data accuracy tolerance of IoT applications. In many IoT applications, an approximate answer is acceptable. Therefore, a cache of an information object having a high semantic correlation with the requested information object can be used instead of a cache of the exact requested information object. In this case, caching both of the information objects can be inefficient and redundant. This paper proposes a caching retrieval scheme which considers the semantic information correlation of information objects of nodes for cache retrieval. We illustrate the benefits of considering the semantic information correlation in caching by studying IoT data caching at the edge. Our experiments and analysis show that semantic correlated caching can significantly improve the efficiency, cache hit, and reduce the resource consumption of IoT devices.

Sign in / Sign up

Export Citation Format

Share Document