By Roger Lee (eds.)
This edited e-book provides clinical result of the 14th IEEE/ACIS overseas convention on machine and knowledge technology (ICIS 2015) which used to be hung on June 28 – July 1, 2015 in Las Vegas, united states. the purpose of this convention used to be to collect researchers and scientists, businessmen and marketers, lecturers, engineers, laptop clients, and scholars to debate the varied fields of machine technology and to proportion their stories and alternate new rules and knowledge in a significant manner. learn effects approximately all facets (theory, functions and instruments) of laptop and data technology, and to debate the sensible demanding situations encountered alongside the way in which and the options followed to unravel them.
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Extra info for Computer and Information Science 2015
4 shows the results of experiments on negotiation simulations with ANAC2014 finalists. Section 5 discusses related works. Section 6 presents our conclusions and future works. 1 Overview of ANAC ANAC is a BMCBP competition. Researchers from the worldwide negotiation community participate in ANAC. The following are the purposes of the competition: • encourages the architecture of agents that can aptly negotiate under the various negotiation conditions. • provides a benchmark for objectively evaluating different negotiation strategies of agents.
Security Measures for Web ETL Processes 21 Table 1 Security risks in the WEB extraction process Risk Vulnerability Improper input Administrator identity problem Violation of customer private information Erroneous and incorrect URL data Entrusted Website Entrusted data (virus, malware) Lack of integrity controls Missing encryption of sensitive input Unprotected transport credentials Weak cryptography of password Inssufficient verification of data authenticity Improper autorisation Lack of access control Cybercrime: Phishing The main objective of this step is to unify these sources, into a single format to be used later.
The following is one of the most important rules of the traffic ontology. This rule aims to locate a traffic item on its corresponding road segment, considering its location (latitude and longitude) and the location of the start point and end point of each segment. 3 Query Layer The top layer of the system is the query layer. Here the different agents perform their tasks using the information stored in the ontology. As ontology query language has been used SPARQL . 50 S. Fernandez et al. Here is a simple example of a SPARQL query that returns the list of vehicles that are located in a given road.