This paper describes OWL ontology re-engineering from the wikibased social science codebook (thesaurus) developed by the Seshat: Global History Databank. The ontology describes human history as a set of over 1500 time series variables and supports variable uncertainty, temporal scoping, annotations and bibliographic references. The ontology was developed to transition from traditional social sc...

Social media and the development of web 2.0 encourage the user to participate more interactively in social networks. In social network relationships may be identified by the user posts and interactions. Using this data, the system can make recommendations tailored to specific users. However, when the user is on social network for the first time, the recommendation system cannot make recommendat...

Traditionally, evaluation methods in the field of semantic technologies have focused on the end result of ontology engineering efforts, mainly, on evaluating ontologies and their corresponding qualities and characteristics. This focus has led to the development of a whole arsenal of ontology-evaluation techniques that investigate the quality of ontologies as a product. In this paper, we aim to ...

The “living” ontologies that will furnish the Semantic Web are lacking. The problem is that in ontology engineering practice, the underlying methodological and organisational principles to involve the community are mostly ignored. Each of the involved activities in the community-based ontology evolution methodology require certain skills and tools which domain experts usually lack. Finding a so...

This paper presents an approach and experiments applying social network analysis on collaborative edit log data. Semantic Web Wiki and FAO ontologies are given as case studies. A number of users that are editing the same ontology or the same pages can be viewed as a social network of people interacting via the ontology. We propose to represent the edit log files as a graph either of users that ...

The choice of appropriate algorithm(s) to the large graphs like social networks is always a challenge to the researchers for different applications. In this work, we propose a model to compare algorithms for large graphs such as social networks using ontology. Using ontology, the features and the dimensions of the social networks are summarized properly and through experiments it is shown how t...

Ontology similarity calculation and ontology mapping are crucial research topics in information retrieval. Ontology, as a concept structure model, is widely used in biology, physics, geography and social sciences. In this paper, we present new algorithms for ontology similarity measurement and ontology mapping using harmonic analysis and diffusion regularization on hypergraph. The optimal funct...

Recently, social networks have attracted a particular interest in the web, particularly Facebook. Consequently, a large amount of social data is produced. For semantic modeling of such data, several social network ontologies are introduced. The most popular is FoaF (Friend of a Friend) ontology. In our research, we are interested in data generated from Facebook social network. Heretofore, the s...