K. Karthikeyan ¹, V. Karthikeyani ²

Affiliations
1 Research and Development Centre, Bharathiar University, Coimbatore, Tamil Nadu, IN
2 Department of Computer Science, Thiruvalluvar Government Arts College, Rasipuram, Tamil Nadu, IN

Abstract

This paper proposes the method of Ontology Based Concept Hierarchy Extraction of Web Data. This helps to extract Concept Hierarchy efficient way for ontology construction. It is very useful for learning the ontology from the text in more efficient way. In General, Natural Language is Complexity and Uncertainty. The existing system used either Statistical based learning or logic based learning Techniques. Statistical based learning techniques gives solution only for complexity and Logic based techniques gives solution for uncertainty alone. But the Statistical Relational Learning Techniques give solution for both Complexity and Uncertainty. So, our proposed system uses Statistical Relational Learning Technique, named Markov Logic Network. Markov Logic Network is a technique in which identify the concept in the domain and order the candidate terms in hierarchical way. An experimental result provides the best concept hierarchy extractions compared to the state-of-art methods.Ontology

Keywords

Concept Hierarchy Extraction, Hearst Pattern, Markov Logic Network, Ontology, Semantic Web.

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M. Vijayakumar ¹, V. Karthikeyani ²

Affiliations
1 Department of Computer Science, Manonmaniam Sundaranar University, Abishekapatti, Thirunelveli - 627012, Tamil Nadu, IN
2 Department of Computer Science, Govt. Arts women’s College, Yercaud Road, Salem - 636008, Tamil Nadu, IN

Abstract

Objectives: Voice over Internet Protocol (VoIP) could present excellent services through Mobile Ad hoc Networks (MANETs) platform. It could cover a lot of purpose scenario assortment of safety to comfort in the quality of services, the approach is based Improvisation of QoS using DBPQ for queuing technique in VO-MAN (VOIP+MANET) network. Methods/Statistical Analysis: Queuing has become a popular methodology for voice statement from side to side internet scenario. Mobile Ad hoc Networks (MANETs) presents a high-quality stage for the fast consumption of VoIP service in many applications scenario. Through a simulation study, we investigate and assess QoS parameters indicators such as delay, Jitter, Packet Delivery Ratio (PDR) and throughput. In the existing methods the queuing has been performed based on the analysis report, which has its drawbacks with mobile nodes. Hence a QoS based intelligent queue technique called DBPQ (Distance Based Priority Queue) has been proposed to analyze the performance of mobile models illustrate a travel pattern of the nodes. Findings: This paper proposes a method to assess and realize the DBPQ for the development of QoS in VoIP. The main objective of this paper is to allocate the bandwidth as per distance calculation by using RSSI algorithm concept in to undertake a fundamental investigation to enumerate the impact of various queuing mechanisms for VoIP (QoS) using DBPQ for queuing technique in Vo-MAN (VOIP+MANET) network. Applications/Improvements: The proposed system achieves significantly enhanced performance in network simulation than the existing systems by utilize better bandwidth allocation and high throughput access.

Keywords

VoIP, QoS, RED, RSSI, DBPQ, Vo-MAN, Mobile Ad Hoc Network.

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