Integrating Social Web with Semantic Web - Ontology Learning and Ontology Evolution from Folksonomies
نویسندگان
چکیده
In this paper, we present an approach for integrating Social Web with Semantic Web by combining the easiness of annotation of resources in the Social Web and the expressiveness of ontologies to describe the resources in the Semantic Web. Our approach combines ontology learning and ontology evolution techniques to provide an integrated Web. Besides, we show how ontology alignment can be used to enrich ontologies in this context.
منابع مشابه
FolksOntology: An Integrated Approach for Turning Folksonomies into Ontologies
We can observe that the amount of non-toy domain ontologies is still very limited for many areas of interest. In contrast, folksonomies are widely in use for (1) tagging Web pages (e.g. del.icio.us), (2) annotating pictures (e.g. flickr), or (3) classifying scholarly publications (e.g. bibsonomy). However, such folksonomies cannot offer the expressivity of ontologies, and the respective tags of...
متن کاملQuery Architecture Expansion in Web Using Fuzzy Multi Domain Ontology
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 ...
متن کاملTowards Ontology Learning from Folksonomies
A folksonomy refers to a collection of user-defined tags with which users describe contents published on the Web. With the flourish of Web 2.0, folksonomies have become an important mean to develop the Semantic Web. Because tags in folksonomies are authored freely, there is a need to understand the structure and semantics of these tags in various applications. In this paper, we propose a learni...
متن کاملAn Executive Approach Based On the Production of Fuzzy Ontology Using the Semantic Web Rule Language Method (SWRL)
Today, the need to deal with ambiguous information in semantic web languages is increasing. Ontology is an important part of the W3C standards for the semantic web, used to define a conceptual standard vocabulary for the exchange of data between systems, the provision of reusable databases, and the facilitation of collaboration across multiple systems. However, classical ontology is not enough ...
متن کاملCommunity-Driven Ontology Evolution Based on Folksonomies
The Semantic Web mission is to enable a better organization of the Web content to improve the searching, navigation and integration of the available information. Although the Semantic Web is intended for machines, the process of creating and maintaining it is a social one: only people, for example, have necessary skills to create and maintain ontologies. While most existing ontologies are desig...
متن کامل