Authors: Alexander Troussov, Mikhail Sogrin, John Judge, Dmitri Botvich

Abstract: A mining method for egocentric and polycentric queries in multi-dimensional
networks is proposed. The method allows fast search for objects in sufficient proximity of other
object(s) where the proximity is defined in terms of multiple relationships between objects. The
method uses spreading activation technique. Other potential uses of spreading activation
technique are also outlined and, in particular, include applications to collaborative filtering
(community detection based on tag recommendations, expertise location, etc). Moreover, the
spreading activation technique is combined with so-called ambient navigation. The advantages
of such approach are high performance and high scalability in terms of size of multidimensional
network. The proposed method is very practical and is implemented in IBM
LanguageWare software products.

Keywords: Spreading activation, social web, semantic web

Categories: H.3.1, H.4.1, H.5.2, H.5.3, I.2.7, I.5.3, L.1.3, L.1.4, L.6.1, L.6.2

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Authors: Stephane Turlier, Benoit Huet, Thomas Helbig, Hans-Joerg Voegel

Abstract: A user-centric architecture of infotainment content adaptation to the context
is presented. The architecture uses component technologies in term of business
logic and functionalities offered by social web (OpenID, FOAF) and semantic descriptions
of MPEG-7 and MPEG-21. Technological alternatives are discussed and adapted
to the specificity of vehicle applications in terms of scalability and platform mobility.
The requirements of the architecture are motivated by the presentation of a scenario.

Key Words: MPEG-7, MPEG-21, FOAF, OpenID, content-based Multimedia Retrieval,
Hypermedia systems, Web-based services, XML, Semantic Web, Vehicle

Category: H.1.2, H.3.1, H.3.3, H.3.5, H.3.6, H.5.1, H.5.4

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Authors: Yiwei Cao, Anna Glukhova, Ralf Klamma, Zinayida Petrushyna

Abstract: Web 2.0 platforms such as media sharing and social network sites (SNS) concern
people in everyday life to a great extent. People are enabled to reach out to various media and
up to now, it is nearly impossible to use digital identities ex ante or to recreate users’ identities
ex post across different platforms. In this paper, we explore important methodologies in Web
2.0 such as cross-media analysis and social pattern based analysis based on a survey in this
area, aiming at cross-platform information diffusion across social network sites. Open issues
are discussed to explore the challenges and solutions in this new research area.

Keywords: social network analysis, Web 2.0, cross-platform, cross-media, Web services,
identity management, XML, Semantic Web, Multimedia

Categories: H.5.1, H.3.5, H.3.3

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Authors: Shuaib Karim and A Min Tjoa

Abstract: The investigation of semantic relationship between the functional entities in a
hospital information system, and their formal representation is of high value for automation
purposes. The information flow in a health service setup revolves around some key entities
such as various functional departments, information items generated from these departments,
hospital staff and the patients. User’s interactions within the system presume the device and the
user profiles to be integral components which correspond to user interface characteristics and
user impairments respectively. There is a meaningful relationship between the semantics of the
information items, the roles of hospital staff, the functional departments, the user interface
characteristics and the user impairments or abilities. Semantic web technology is very helpful
in order to formally describe the semantics of these entities in ontologies and then creating rules
to formally connect these ensuring a controlled and optimized information flow in the overall
system. A test case, by connecting user impairments and user interface characteristics, is
presented to show the validity and efficacy of our approach.

Keywords: Knowledge personalization and customization, Semantic Web, Connecting
Ontology, Medical Informatics, User Interfaces

Categories: H.3, H.4, H.5.2, H.5.4, I.2.1

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Authors: Matthias Samwald and Klaus-Peter Adlassnig

Abstract: This article describes an ontology framework called bio-zen, which can be used for
the representation of information from biomedical research on the Semantic Web. The ontology
framework adheres to the OWL DL format and is based on existing foundational ontologies
and metadata standards like DOLCE, SKOS and Dublin Core. It is optimised for the usage in
distributed environments like the Internet. Novel ontological design patterns in bio-zen allow
the unification of good ontological consistency with a flexible, clean and intuitive structure.
A unique feature of the bio-zen ontology is that it allows the seamless integration of
mathematical descriptions and simulation parameters into qualitative information, making a
quick transition from plain data to model simulations possible.
A growing number of extension packages are available for the ontology, including concepts
from taxonomies such as the Gene Ontology, Medical Subject Headings or the NCBI
Taxonomy.

Keywords: Semantic Web, Life Sciences, ontology, simulation, data integration

Categories: J.3, H.3.0

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Authors: Benjamin Adrian, Leo Sauermann, Thomas Roth-Berghofer

Abstract: ConTag is an approach to generate semantic tag recommendations for documents
based on Semantic Web ontologies and Web 2.0 services. We designed and implemented
a process to normalize documents to RDF format, extract document topics
using Web 2.0 services and finally match extracted topics to a Semantic Web ontology.
Due to ConTag we are able to show that the information provided by Web 2.0 services
in combination with a Semantic Web ontology enables the generation of relevant semantic
tag recommendations for documents. The main contribution of this work is a
semantic tag recommendation process based on a choreography of Web 2.0 services.

Key Words: Ontology, Web 2.0, Semantic Web, Social Software, Tagging

Category: H.1.1, H.3.3

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