Archive for October, 2006

Towards Semantically-Interlinked Online

Towards Semantically-Interlinked Online

Abstract. 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 SemanticWeb 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.

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Harvesting Desktop Data for Semantic Blogging

SemanticDesktop.org
Abstract

A typical computer user’s desktop contains large amount of for- mal data, such as addresses, events or bibliopraphies. Especially within a corporate or organizational environment, it is often important to exchange this data between employees. However, state-of-the-art communication tech- nologies such as email or bulletin boards don’t allow to easily integrate desk- top data in the communication process, with the effect that the data remains locked within a user’s computer. In this paper, we propose that the recent phenomenon of blogging, combined with a tool to easily generate Semantic Web (SW) data from existing formal desktop data, can result in a form of semantic blogging which would help to overcome the aforementioned prob- lem. We discuss a number of preconditions which must be met in order to allow semantic blogging and encourage users to author a semantic blog, and we present a prototype of the semiBlog editor, which was created with the purpose of user-friendly semantic blogging in mind. We argue that such a semantic blog editor should integrate tightly with a user’s desktop environ- ment, as this would make integration of existing data into the blog as easy as possible.

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IRIS: Integrate. Relate. Infer. Share.

SemanticDesktop.org
Abstract

In this paper we introduce a new semantic desktop system called IRIS, an application framework for enabling users to create a “personal map” across their office-related information objects. Built as part of the CALO Cognitive Assistant project, IRIS represents a step in our quest to construct the kinds of tools that will significantly augment the user’s ability to perform knowledge work. This paper explains our design decisions, progress, and shortcomings. The IRIS project has grown from the past work of others and offers opportunities to augment and otherwise collaborate with other current and future semantic desktop projects. This paper marks our entry into the ongoing conversation about semantic desktops, intelligent knowledge management, and systems for augmenting the performance of human teams.

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Human and Social Aspects of Decentralized Knowledge Communities

Human and Social Aspects of Decentralized Knowledge Communities ResearchIndex

To design an infrastructure for knowledge communities, we need both technical expertise and an understanding of human and social aspects of communities. Technologies for implementing such infrastructures are often available. However, there is no clear, proven procedure for building successful communities. In this paper, we review research literature concerning user practices and social aspects of information and knowledge management. Based on this review, we propose preliminary design criteria for Semantic Desktop systems.

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4th European Semantic Web Conference 2007

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A Semantic Blogging Framework for Better Utilization of Information

This is my Master’s thesis

Abstract
Semantic blogging is a recently emerging technology that attempts to solve the problems of traditional blogging by integrating the features of the semantic web. However, the semantic capabilities currently implemented for semantic blogging are still limited. It is difficult to obtain blog entries relevant to a topic in an aggregated and organized form. A new framework for semantic blogging has been developed capable of organizing results relevant to user requirement. The framework attempts to provide more effective navigation and search by exploring semantic relations in blogs. The framework has been constructed by extending the Blojsom blogging infrastructure. Ontology has been introduced to utilize semantic relations, enhanced by inference. Blog entries are mapped to the ontology using language processing. Search results are organized by introducing semantic aggregation. Blog entries are enriched by metadata and an annotation mechanism has also been developed. The framework has been tested and evaluated by implementing a system for computer department domain ontology. Experiments have shown quite good results. Positive feedback about the effectiveness of the system has been obtained from the users. Enhancing semantic blogging, by utilizing ontology to find semantic relations, provides better results with more effective organization and navigation.

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Magnet: Supporting Navigation in Semistructured Data Environments

Haystack Publications
Vineet Sinha and David R. Karger.

Magnet: Supporting Navigation in Semistructured Data Environments

in SIGMOD 2005.

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