Reliable Information Processing Sample Clauses

Reliable Information Processing. The dynamicity and heterogeneity of IoT environments involves changes and noise in the data, especially when dealing with data created by people. The methods for information extraction and data processing, however, require accuracy and trust issues to be taken into account. This module measures and processes accuracy and reputation in data acquisition, federation and aggregation. It integrates techniques for monitoring and testing, ensuring reliable information processing. For example, it provides fault tolerance mechanisms when malfunctioning or disappearing sensor are detected, or providing conflict resolution strategies when data analysis result in conflicting information. Provenance also plays an important role for Smart cities applications. These applications acquire data from heterogeneous sources, some of them more reliable (e.g. government data), and some of them less reliable (e.g. crowd sourced data). Based on user or application preferences, the application provider could choose to use less reliable data in various cases, e.g. it needs more up to date information. The Reliable Information Processing module performs quality analysis to assert the reliability of the data. To enable the process of annotating data with QoI a list of QoI parameters is defined in Section 5.2 and an ontology is developed that is described in Section 5.3.
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Reliable Information Processing. The process of QoI and provenance annotation of raw stream data, which is used within the Reliable Information Processing component in the CityPulse framework, is described in detail in the following sections. In Section 5.1 the general idea of QoI and provenance annotation is explained and first parameters for the annotation are defined or extracted from literature. In Section 5.2 we highlight the parameters that are used to measure quality in detail. Finally we present the information model that is developed to represent an application independent view of quality and provenance information for data streams in Section 5.3. While Quality of Service (QoS) has been widely studied in sensor networks and has well defined measurable properties (e.g. throughput, jitter or packet loss), which are inherited from the field of network communications, the Quality of Information (QoI) is not well defined and sometimes difficult to measure. In this section, we present quality and provenance annotation process of data streams, and highlight the parameters that are used to obtain corresponding measurements. In order to explicitly represent the reliability of the information and the adequacy of the data in the Semantic Web environment, we also develop an information model, which uses an existing ontology to describe the provenance of the processed information.
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Related to Reliable Information Processing

  • Line Information Database 9.1 LIDB is a transaction-oriented database accessible through Common Channel Signaling (CCS) networks. For access to LIDB, e-Tel must purchase appropriate signaling links pursuant to Section 10 of this Attachment. LIDB contains records associated with End User Line Numbers and Special Billing Numbers. LIDB accepts queries from other Network Elements and provides appropriate responses. The query originator need not be the owner of LIDB data. LIDB queries include functions such as screening billed numbers that provides the ability to accept Collect or Third Number Billing calls and validation of Telephone Line Number based non-proprietary calling cards. The interface for the LIDB functionality is the interface between BellSouth’s CCS network and other CCS networks. LIDB also interfaces to administrative systems.

  • Available Information The Company is subject to the periodic reporting requirements of the Exchange Act applicable to foreign private issuers (as defined in Rule 405 of the Securities Act) and accordingly files certain information with the Commission. These reports and documents can be inspected and copied at the Commission’s website at ▇▇▇.▇▇▇.▇▇▇ or at the public reference facilities maintained by the Commission located at ▇▇▇ ▇ ▇▇▇▇▇▇, ▇.▇., ▇▇▇▇▇▇▇▇▇▇ ▇.▇. ▇▇▇▇▇, ▇.▇.▇.

  • User Information Any user or usage data or information collected via Station’s digital properties or related to Station’s digital properties, or any information collected from websites operated by Station’s affiliates under this Agreement, shall be the property of Station and/or such affiliates. Advertiser shall have no rights in such information by virtue of this Agreement.

  • Accurate Information All information heretofore, herein or hereafter supplied to Secured Party by or on behalf of Debtor with respect to the Collateral is and will be accurate and complete in all material respects.

  • Root-­‐zone Information Publication ICANN’s publication of root-­‐zone contact information for the TLD will include Registry Operator and its administrative and technical contacts. Any request to modify the contact information for the Registry Operator must be made in the format specified from time to time by ICANN at ▇▇▇▇://▇▇▇.▇▇▇▇.▇▇▇/domains/root/.