On Community-Based Ontology Evolution

Ontologies continuously become larger and more complex, and therefore more and more dicult to maintain, to edit and to develop by one single person or a small group of experts. The basic principle of Web 2.0, on the other hand, is to use the willingness and knowledge of a huge community of users to create rich user-generated content. The obvious idea that comes to mind is to combine the technologies of the Semantic Web with the trend of the Web 2.0. In this paper we present UbisEditor, an easy-to-use web tool for the creation and manipulation of structured collective knowledge represented as ontologies. This web ontology editor is realized as part of the UbisWorld project (http://www.ubisworld.org) and already supports ontology editing techniques like adding new concepts, renaming and deleting, but also the creation of personalized ontology views.

2002

Proceedings of the 2nd …, 2007

Proceedings of the International Conference on Knowledge Engineering and Ontology Development, 2010

In this paper, the Social Ontology Building and Evolution (SOBE) method and the corresponding software platform for cooperative ontology building in the context of a cluster of enterprises is presented. The SOBE is characterized by three main aspects: (i) automatic knowledge extraction from unstructured documents; (ii) social validation, involving a community of domain experts; (iii) a step-wise approach which goes through five main steps which produce incremental results towards the construction of a domain ontology.

Future Internet, 2012

The social trend is progressively becoming the key feature of current Web understanding (Web 2.0). This trend appears irrepressible as millions of users, directly or indirectly connected through social networks, are able to share and exchange any kind of content, information, feeling or experience. Social interactions radically changed the user approach. Furthermore, the socialization of content around social objects provides new unexplored commercial marketplaces and business opportunities. On the other hand, the progressive evolution of the web towards the Semantic Web (or Web 3.0) provides a formal representation of knowledge based on the meaning of data. When the social meets semantics, the social intelligence can be formed in the context of a semantic environment in which user and community profiles as well as any kind of interaction is semantically represented (Semantic Social Web). This paper first provides a conceptual analysis of the second and third version of the Web model. That discussion is aimed at the definition of a middle concept (Web 2.5) resulting in the convergence and integration of key features from the current and next generation Web. The Semantic Social Web (Web 2.5) has a clear theoretical meaning, understood as the bridge between the overused Web 2.0 and the not yet mature Semantic Web (Web 3.0).

2016

Our assumption here is that the relationships between networks of concepts (ontologies) and people networks (web communities) is reciprocal and dynamic. ontologies identify communities and communities through practice define ontologies. Ontologies describe complex domains and therefore are difficult to create manually. Our investigation aims at building tools and methodologies to drive the process of ontology building. In particular we define a model by which ontologies evolve through Web community extraction. In this paper, we observe that tags in Web 2.0 are mathematical objects called clouds and studied in [11]. And we introduce NetMerge, an algorithm for transforming an ontology into a complex network.

2002

This paper describes a semantic portal through which knowledge can be gathered, stored, secured and accessed by members of a certain community. In particular, this portal takes into account companies and research institutes participating in the EU funded thematic network called OntoWeb. Ontology-based annotation of information is a prerequisite in order to offer the possibility of knowledge retrieval and extraction.

The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), 2005

We introduce the concept of community-driven ontology management and demonstrate the added value to conventional ontology management of being community-driven.

Advancing Information Management through Semantic Web Concepts and Ontologies

The massive use of Internet and social networks leads us to a new dynamic environment with huge amounts of unstructured and unclassified information resources in continuous evolution. New classification, compilation, and recommendation systems based on the use of folksonomies and ontologies have appeared to deal with the requirements of data management in this environment. Nevertheless, using ontologies alone has some weaknesses due to the need of being statically modeled by a set of experts in a specific domain. On the other hand, folksonomies show a lack of formality because of their implicit ambiguity and flexibility by definition. The main objective of this chapter is to outline and evaluate a new way to exploit Web information resources and tags for bridging the gap between ontology modeling and folksonomies.

2005

Online community sites have replaced the traditional means of keeping a community informed via libraries and publishing. At present, online communities are islands that are not interlinked. We describe different types of online communities and tools that are currently used to build and support such communities. Ontologies and Semantic Web technologies offer an upgrade path to providing more complex services. Fusing information and inferring links between the various applications and types of information provides relevant insights that make the available information on the Internet more valuable. We present the SIOC ontology which combines terms from vocabularies that already exist with new terms needed to describe the relationships between concepts in the realm of online community sites. 2