Gagandeep Singh Narula

EasyOnto: A Collaborative Semiformal Ontology Development Platform

With an incessant development of the information technology, ontology has been widely applied to various fields for knowledge representation. Therefore, ontology construction and ontology extension has become a great area of research. Creating ontology should not be confined to the thinking process of few ontology engineers. To develop common ontologies for information sharing, they should satisfy the requirements of different people for a particular domain. Also, ontology engineering should be a collaborative process for faster development. As Social Web is growing, its simplicity proves to be successful in attracting mass participation. This paper aims in developing a platform “EasyOnto” which provide simple and easy graphical user interface for users to collaboratively contribute in developing semiformal ontology.

Evolution of FOAF and SIOC in Semantic Web: A Survey

The era of social web has been growing tremendously over the web. Users are getting allured towards new paradigms tools and services of social web. The amount of information available on social web is produced by sharing of beliefs, reviews and knowledge by various online communities. Interoperability and portability of social data are one of the major bottlenecks of social network applications like Facebook, Twitter, Flicker and many more. In order to represent and integrate social information explicitly and efficiently, it is mandatory to enrich social information with the power of semantics. The paper is categorized into following sections. Section 2 describes various studies conducted in context of social semantic web. Section 3 makes readers aware of concept of social web and various issues associated with it. Section 4 describes use of ontologies in achieving interoperability between social and semantic web. Section 5 concludes the giver paper.

Security Attacks in Wireless Sensor Networks: A Survey

Security is one of the major concerns in sensor networks. Wireless sensor network comprises of huge amount of nodes called as tiny sensor nodes. The nodes are required to exchange information with different nodes via wireless links in short intervals. The information may be potentially private regarding people and business processes. These networks suffer from adversary due to distributed behavior and deployment in distant areas. The networks are governed by some constraints at sensor node level like less battery power, less memory capacity, and low transmission range while at network level, they are governed by ad hoc networking and irregular connectivity. The paper analyzes the challenges, main security issues, security breaches in wireless sensor networks and lists their defensive measures.

Improving Statistical Multimedia Information Retrieval (MIR) Model by using Ontology and Various Information Retrieval (IR) Approaches

A typical IR system that delivers and stores information is affected by problem of matching between user query and available content on web. Use of Ontology represents the extracted terms in form of network graph consisting of nodes, edges, index terms etc. The above mentioned IR approaches provide relevance thus satisfying users query. The paper also emphasis on analyzing multimedia documents and performs calculation for extracted terms using different statistical formulas. The proposed model developed reduces semantic gap and satisfies user needs efficiently.