42 research outputs found
TU Graz: Course: 707.000 Web Science and Web Technology: Lecture 13: Web Technologies 2 - The Semantic Web
No full textThe semantic web represents a current research effort to increase the capability of machines to make sense of content on the web. In this class, Peter Scheir will give a guest lecture on the basic principles underlying the semantic web vision, including RDF, OWL and other standards
A network model approach to retrieval in the Semantic Web
No full textWhile it is agreed that semantic enrichment of resources would lead to better search results, at present the low coverage of resources on the web with semantic information presents a major hurdle in realizing the vision of search on the Semantic Web. To address this problem, we investigate how to improve retrieval performance in settings where resources are sparsely annotated with semantic information. Techniques from soft computing are employed to find relevant material which was not originally annotated with the concepts used in a query. We present an associative retrieval model for the Semantic Web and evaluate if and to which extent the use of associative retrieval techniques increases retrieval performance. The evaluation of new retrieval paradigms - such as retrieval based on technology for the Semantic Web - presents an additional challenge since no off-the-shelf test corpora exist. Hence we give a detailed description of the approach taken to evaluate the information retrieval service we have built
Improving search on the semantic desktop using associative retrieval techniques
No full textAbstract: While it is agreed that semantic enrichment of resources would lead to better search results, at present the low coverage of resources on the web with semantic information presents a major hurdle in realizing the vision of search on the Semantic Web. To address this problem we investigate how to improve retrieval performance in a setting where resources are sparsely annotated with semantic information. We suggest employing techniques from associative information retrieval to find relevant material, which was not originally annotated with the concepts used in a query. We present an associative retrieval system for the Semantic Desktop and show how the use of associative retrieval increased retrieval performance. Key Words: semantic desktop, associative information retrieva
Deploying semantic web technologies for work integrated learning in industry. A comparison: SME vs. large sized company
No full textModern businesses operate in a rapidly changing environment. Continuous learning is an essential ingredient in order to stay competitive in such environments. The APOSDLE system utilizes semantic web technologies to create a generic system for supporting knowledge workers in different domains to learnwork. Since APOSDLE relies on three interconnected semantic models to achieve this goal, the question on how to efficiently create high-quality semantic models has become one of the ma jor research challenges. On the basis of two concrete examples- namely deployment of such a learning system at EADS, a large corporation, and deployment at ISN, a network of SMEs-we report in detail the issues a company has to face, when it wants to deploy a modern learning environment relying on semantic web technology
Naar een verblindingsindex voor niet-uniforme armaturen
No full textDiscomfort glare is defined by the International Commission on Illumination (CIE) as: “glare that causes discomfort without necessarily impairing the vision of objects” and by the Illuminating Engineering Society of North America (IES) as “a sensation of annoyance or pain caused by high luminance in the field of view”. The quantification of discomfort glare has been researched ever since the beginning of the previous century, but even today, the physiological and psychological mechanisms are not fully understood.
Discomfort glare can have several causes. Both an erratic luminance distribution and a high luminance relative to the average luminance level of the field of view can cause annoyance. The traditional glare metrics often only include the average luminance level calculated from the far field luminous intensity distribution. Any non-uniformity in luminance distribution is ignored and luminaires are approximated by a point source. Therefore, discomfort glare from relative uniform light sources is adequately described by the UGR whereas discomfort glare from non-uniform light sources is not. Since a non-uniform luminaire produces more discomfort glare than a uniform one of equal average luminance, the applicability of traditional glare metrics for non-uniform light sources is under discussion. LED luminaires often exhibit a non-uniform luminance distribution with areas of high luminance alternating with relatively dark zones. A discussion arises if the low luminance area should be considered for the total luminous surface. The non-uniformity of a luminaire can be accurately described by its luminance map. Since nowadays LED luminaires dominate the market for interior lighting, a better assessment of discomfort glare based on luminance maps becomes essential.
As an attempt to tackle these problems, the CIE developed a method for small, large and complex sources but discussion about the validity remains, as stated by a CIE reporter (CIE, 2009):
‘Your reporter has referred to UGR as a “leaky boat”. Is it time, therefore, to develop a new system rather than to try further patch the “leaks”?’
Although some physiological mechanisms involved in glare perception are known, sometimes already for decades, traditional glare formulae are merely phenomenological and lack any physiological or psychological justification. As an alternative, by incorporating the receptive field mechanism, the pupillary light reflex and a correction for retinal position, a more physiologically justified discomfort glare model is developed. The receptive field neural pathways, practically acting like an edge filter, have been studied already from the 1930’s on. The pupillary light reflex controls the retinal illuminance as part of the adaptation process. The Guth position index describes the relation between the light source retinal position and the apparent brightness: the more the image is located away from the line of sight, the less bright it will appear.
This thesis includes two parts. In the first part, the traditional UGR method is explained. The appropriateness of the UGR calculation for uniform and non-uniform luminaires based on luminance maps is compared. Ultimately, a proposition to improve the UGR method is outlined. The actual luminous surface of a luminaire is defined by a luminance boundary discriminating between background and luminous part(s). In the second part, a more physiologically justified discomfort glare model is developed including the receptive field mechanism, the pupillary light reflex and a retinal position correction. This model is a promising alternative to current, merely empirical glare metrics, especially when non-uniform luminaires are to be evaluated.status: Publishe
Vernon Junior High School, grade 8H class
No full text1st row, from the left: Zan Varley, _, Bobby McKenzie, Pat Shinduke, Bonny McKay, Arlene Kermode, Sylvia Mykitiuk, Judy [H]. 2nd row: Sandy Gaythorpe, Elaine Openshaw, Thekkie Fulton, Penny Peters, Teacher (Mr. Hamilton), Heather Rogan, Marg Phillips, Judy Richards, Charlotte Fuhr, Barbara Sherk. 3rd row: _, Don Weston, [Betty?], [Patsy?], Anita LaMarche, Shane Stamer, _, David Monsees. 4th row: Rueben Klingspohn, Peter Hubner, Jack Webster, Steve Fullbrook, Leslie Scheir, Don Kuhn, _
Associative retrieval of resources for work-integrated learning: Integrating domain knowledge with contentbased similaritie
