Aman’s Blog

From IEEE Internet Computing
Guest Editors’ Introduction

Social Networks and Social Networking
Elizabeth F. Churchill • Palo Alto Research Center
Christine A. Halverson • IBM

Welcome to Flink

paper

Welcome to Flink
Flink is presentation of the scientific work and social connectivity of Semantic Web reseachers, in particular the community of researchers who have contributed their work to the International Semantic Web Conference (ISWC) series.

SpringerLink - Book Chapter
Abstract
This paper presents a semantic web portal tool OntoViews for publishing RDF content on the web. OntoViews provides the portal designer with a content-based search engine server, Ontogator, and a link recommendation system server, Ontodella. The user interface is created by combining these servers with the Apache Cocoon framework. From the end-userrsquos viewpoint, the key idea of OntoViews is to combine the multi-facet search paradigm, developed within the information retrieval research community, with semantic web RDFS ontologies, and extend the search service with a semantic browsing facility based on ontological reasoning. OntoViews is presented from the viewpoints of the end-user, architecture, and implementation. The implementation described is modular, easily modified and extended, and provides a good practical basis for creating semantic portals on the web. As a proof of concept, application of OntoViews to a deployed semantic web portal is discussed.
Keywords: Semantic web, information retrieval, multi-facet search, view-based search, recommendation system.

Semantic Web Conference 2004
International Semantic Web Conference 2004: Hiroshima, Japan

SpringerLink - Book Chapter
Abstract
We argue that in a distributed context, such as the Semantic Web, ontology engineers and data creators often cannot control (or even imagine) the possible uses their data or ontologies might have. Therefore ontologies are unlikely to identify every useful or interesting classification possible in a problem domain, for example these might be of a personalised nature and only appropriate for a certain user in a certain context, or they might be of a different granularity than the initial scope of the ontology. We argue that machine learning techniques will be essential within the Semantic Web context to allow these unspecified classifications to be identified. In this paper we explore the application of machine learning methods to FOAF, highlighting the challenges posed by the characteristics of such data. Specifically, we use clustering to identify classes of people and inductive logic programming (ILP) to learn descriptions of these groups. We argue that these descriptions constitute re-usable, first class knowledge that is neither explicitly stated nor deducible from the input data. These new descriptions can be represented as simple OWL class restrictions or more sophisticated descriptions using SWRL. These are then suitable either for incorporation into future versions of ontologies or for on-the-fly use for personalisation tasks.

SpringerLink - Book Chapter
Abstract
We present an architecture for combining wikis containing hypertext with ontologies containing formal, structured information. A web-based ontology editor that supports collaborative work through versioning, transactions and management of simultaneous modifications is used for ontology evolution. In wiki pages, ontology information can be used to render dynamic content and answer user queries. Furthermore, query templates are introduced that simplify the use of queries for inexperienced users. The architecture allows easy integration with existing ontology frameworks and wiki engines. The usefulness of the approach is demonstrated by a prototypical implementation as well as a small case study.

SpringerLink - Book Chapter
Abstract
Wikis play a leading role among the web publishing environments, being collaborative tools used for fast and easy writing and sharing of content. Although powerful and widely used, wikis do not support users in the aided generation of content specific for a given domain but they still require manual, time-consuming and error-prone interventions. On the other hand, semantic portals support users in browsing, searching and managing content related to a given domain, by exploiting ontologies. In this paper we propose a specific application of web ontologies, applied to the wikis: exploiting an ontological description of a domain in order to deploy a customized wiki for that specific domain. We describe the design of an ontology-based framework, named WikiFactory, that aids users to automatically generate a complex and complete wiki website related to a specific area of interest with few efforts. In order to show the applicability of our framework, we present a specific case study that describes the main WikiFactory capabilities in constructing the wiki website for a Computer Science Department in a University.

Semantic Web Advanced Development for Europe (SWAD-Europe)
The SWAD-Europe project ran from May 2002 to October 2004, and aimed to support W3C’s Semantic Web initiative in Europe, providing targeted research, demonstrations and outreach to ensure Semantic Web technologies move into the mainstream of networked computing. The project factsheet and objectives are available, and an overview of the project written for ERCIM news in September 2004.

3rd European Semantic Web Conference 2006