Abstract Semantic Similarity relates to computing the similarity between different ontological concepts .Various categories of semantic similarity measures have been proposed to determine how similar are they between any two concepts within ontology. Information Content (IC) measure is one such among the category of measures. We analyze different methods of calculating the IC value for any concept in ontology and discuss the similarity measures... Semantic Similarity relates to computing the similarity between different ontological concepts .Various categories of semantic similarity measures have been proposed to determine how similar are they between any two concepts within ontology. Information Content (IC) measure is one such among the category of measures. We analyze different methods of calculating the IC value for any concept in ontology and discuss the similarity measures which use this IC value. We select the best performing measure based on the previous work done on these measures and present its limitations. We then propose new Information Content based Semantic Similarity Measure which applied on two datasets proving that it performs better and provides more improved similarity value. Read More Read Less

Abstract The integration of WiFi and WiMAX will allow seamless connection between users from both systems with a greater capacity, higher bit rates and mobility access. To enable interoperability between WiFi and WiMAX a special gateway is required known as WiFi/WiMAX router. In this paper, we investigate, through the use of OPNET simulation tools, number of WiFi users or hotspots could accommodated by a... The integration of WiFi and WiMAX will allow seamless connection between users from both systems with a greater capacity, higher bit rates and mobility access. To enable interoperability between WiFi and WiMAX a special gateway is required known as WiFi/WiMAX router. In this paper, we investigate, through the use of OPNET simulation tools, number of WiFi users or hotspots could accommodated by a WiFi/WiMAX router and a WiMAX Base Station. Further, we evaluate the use of suitable applications and network traffic combinations for all WiFi users in order to fully optimize the network within a constrained bandwidth. On top of that, subsequently to investigate more about the hybrid network, the quantity of nodes is supported to 200 users based on the same situation. This type of integration will solves many of the difficulties in last-mile implementations, which also will benefit both users and service providers. Read More Read Less

Abstract Currently, the quality of service (QoS) of web services can not to be guaranteed, because the cloud environment lacks the ability to be real-time aware of their load capacity changes. For non-trusted and trusted web service providers may make the different service description of the meta-service, where exists deceit. As consumers may simultaneously invoke the same high quality service and thus it is... Currently, the quality of service (QoS) of web services can not to be guaranteed, because the cloud environment lacks the ability to be real-time aware of their load capacity changes. For non-trusted and trusted web service providers may make the different service description of the meta-service, where exists deceit. As consumers may simultaneously invoke the same high quality service and thus it is very likely to occur that the users’ access exceeds the load capacity of service. In this paper, we propose a service selection and evaluation method based on real-time environmental-aware. The service dispatch center proposed in this paper aims to select meta-service clusters by way of bidding and tendering to guarantee the QoS of the selected service. Meanwhile, the QoS aware module of each meta-service will make real-time perception of QoS to ensure web service with high real-time and high reliability. Furthermore, a QoS prediction algorithm is proposed to evaluate the promised reputation of the service providers. Extensive simulation results show that the method can achieve evaluation and forecast of QoS efficiently and provide an optimal web service for users. Read More Read Less