Ontology, usually, build upon Taxonomy, which is considered as the backbone of it. The problem is that Taxonomy entirely depends on controlled vocabulary which has many drawbacks, particularly in the environments that depend on social networking, which shaped and formed generally from contribution of nun-specialist communities. On the other side, Folksonomy found as a way to deal with free tagg...

Online social networks are a particular type of virtual community and in recent years they have attracted many people. These networks provide various features for users and allow them to construct a profile and share their information. Hence searching in users’ profiles and their information is one of the most common operations in social networks. In this paper, we present a search method based...

Ontology evaluation still poses an open problem where new approaches and techniques are needed to better assess the quality of an ontology. Especially in the field of collaborative ontology engineering, where traditional evaluation methods only focus on the ontology as a product, it is important to include social factors into the analysis of these collaborative ontology engineering processes, s...

Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...

Web 2.0 applications and the increasingly use of social networks have been creating new informal learning opportunities. Students interact and collaborate using new learning environments which are structurally different from traditional e-learning environments. In these informal unstructured learning contexts the boundaries between the learning contexts and social spheres disappear, and the def...

Knowledge management research focuses on the development of concepts, methods, and tools supporting the management of human knowledge. The main objective of this paper is to survey some of the basic concepts that have been used in computer science for the representation of knowledge and summarize some of their advantages and drawbacks. A secondary objective is to relate these techniques to info...

Competence Management approaches suggest promising instruments for more effective resource allocation, knowledge management, learning support, and human resource development in general. However, especially on the level of individual employees, such approaches have so far not been able to show sustainable success on a larger scale. Piloting applications like expert finders have often failed in t...

In this paper we give an overview of the int.ere.st for a social tagging, bookmarking, and sharing service. It is based on the SCOT ontology. The SCOT ontology can represent the structure and semantics for social tagging data and provide methods for sharing and reusing them. We describe how it enables users to participate in a semantic social tagging from functional point of view and show how i...

In sociology, social philosophy, social ontology, and classical choice theory the notion of a social norm is usually introduced by using a rich normative, semantic, and social vocabulary, while the notions that evolutionary game theory proceeds from seem too poor to elucidate the idea of social norms. In this paper, I suggest to define a notion of social norms that is as basic as possible, in t...

Most organisations store their data in several databases with no flexible mechanism for integration and access, and with no common vocabulary in place. Maintaining local vocabularies while realising distributed access is a challenge that most organisations face regularly. For several years, the Semantic Web community has been developing algorithms for mapping data models (ontologies). Neverthel...