12,664 research outputs found
Realization of Semantic Atom Blog
Web blog is used as a collaborative platform to publish and share
information. The information accumulated in the blog intrinsically contains the
knowledge. The knowledge shared by the community of people has intangible value
proposition. The blog is viewed as a multimedia information resource available
on the Internet. In a blog, information in the form of text, image, audio and
video builds up exponentially. The multimedia information contained in an Atom
blog does not have the capability, which is required by the software processes
so that Atom blog content can be accessed, processed and reused over the
Internet. This shortcoming is addressed by exploring OWL knowledge modeling,
semantic annotation and semantic categorization techniques in an Atom blog
sphere. By adopting these techniques, futuristic Atom blogs can be created and
deployed over the Internet
Semantic industrial categorisation based on search engine index
Analysis of specialist language is one of the most pressing
problems when trying to build intelligent content analysis
system. Identifying the scope of the language used and then understanding the relationships between the language entities is a key problem. A semantic relationship analysis of the search engine index was devised and evaluated. Using search engine index provides us with access to the widest database of knowledge in any particular field (if not now, then surely in the future). Social network analysis of keywords collection seems to generate a viable list of the specialist terms and relationships among them. This approach has been tested in the engineering and medical sectors
One Approach to Knowledge Mapping for International Student Portal
* The work is partly supported by RFFI grant 08-07-00062-aKnowledge portal is an approach used to provide view of domain-specific information on the World
Wide Web [13]. In this paper, we present one approach by using ontology engineering as a conceptual backbone
and relationships for knowledge extracting, structuring and formalizing as a comprehensive way for building
knowledge portal. For illustration of a practical ontology development of knowledge portal, the described ideas
are implemented in a system design for international student service
CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap
After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in
multimedia search engines, we have identified and analyzed gaps within European research effort during our second year.
In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio-
economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown
of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on
requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the
community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our
Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as
National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core
technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research
challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal
challenges
Automatic ontology mapping for agent communication
Agent communication languages such as ACL and KQML provide a standard for agent communication. These languages enable an agent to specify the intention and the content of a message as well as the protocol, the language, and the ontology that are used. For the protocol and the language some standards are available and should be known by the communicating agents. The ontology used in a communication depends on the subject of the communication. Since the number of subjects is almost infinite and since the concepts used for a subject can be described by different ontologies, the development of generally accepted standards will take a long time. This lack of standardization, which hampers communication and collaboration between agents, is known as the interoperability problem. To overcome the interoperability problem, agents must be able to establish a mapping between their ontologies. This paper investigates a new approach to the interoperability problem. The proposed approach requires neither a correspondence between concepts used in the ontologies nor a correspondence between the structure of the ontologies. It only requires that some instances of the subject about which the agents try to communicate are known by both agents.economics of technology ;
Features for Killer Apps from a Semantic Web Perspective
There are certain features that that distinguish killer apps from other ordinary applications. This chapter examines those features in the context of the semantic web, in the hope that a better understanding of the characteristics of killer apps might encourage their consideration when developing semantic web applications. Killer apps are highly tranformative technologies that create new e-commerce venues and widespread patterns of behaviour. Information technology, generally, and the Web, in particular, have benefited from killer apps to create new networks of users and increase its value. The semantic web community on the other hand is still awaiting a killer app that proves the superiority of its technologies. The authors hope that this chapter will help to highlight some of the common ingredients of killer apps in e-commerce, and discuss how such applications might emerge in the semantic web
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