Applying Science Models for Search

The paper proposes three different kinds of science models as value-added services that are integrated in the retrieval process to enhance retrieval quality. The paper discusses the approaches Search Term Recommendation, Bradfordizing and Author Centrality on a general level and addresses implementation issues of the models within a real-life retrieval environment.Comment: 14 pages, 3 figures, ISI 201

On risk minimizing portfolios and martingale measures in Lévy markets

Our aim in this paper is to find a market portfolio and equivalent martingale measure (EMM) that minimizes risk as defined in [1], but in the jump diffusion market. We use optimal control methods for the determination of explicit solutions for our controls

05271 Abstracts Collection -- Semantic Grid: The Convergence of Technologies

From 03.07.05 to 08.07.05, the Dagstuhl Seminar 05271 ``Semantic Grid -- The Convergence of Technologies\u27\u27 was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available

Reasoning by analogy in the generation of domain acceptable ontology refinements

Refinements generated for a knowledge base often involve the learning of new knowledge to be added to or replace existing parts of a knowledge base. However, the justifiability of the refinement in the context of the domain (domain acceptability) is often overlooked. The work reported in this paper describes an approach to the generation of domain acceptable refinements for incomplete and incorrect ontology individuals through reasoning by analogy using existing domain knowledge. To illustrate this approach, individuals for refinement are identified during the application of a knowledge-based system, EIRA; when EIRA fails in its task, areas of its domain ontology are identified as requiring refinement. Refinements are subsequently generated by identifying and reasoning with similar individuals from the domain ontology. To evaluate this approach EIRA has been applied to the Intensive Care Unit (ICU) domain. An evaluation (by a domain expert) of the refinements generated by EIRA has indicated that this approach successfully produces domain acceptable refinements

Interfacial Layers of Small Molecule Organic Solar Cells

The influence of interfacial layers, introduced between electrodes and active layer, on organic solar cells was understood. Anode interfacial layer was made of vanadium oxide (V2O5) or 4,4′,4′′-Tris[phenyl(m-tolyl)amino]triphenylamine (m-MTDATA). V2O5 is an inorganic material and m-MTDATA is an organic material. Tris(8-hydroxyquinolinato)aluminium (Alq3) was chosen as cathode interfacial layer. Two thicknesses of 5 nm and 10 nm were considered for each of V2O5, m-MTDATA and Alq3. Modeling and simulation of devices was done using transfer matrix methodology for the measurement of optical electric field, device reflectance, power dissipation, absorptance and power re-distribution. Optical and electrical characterization of fabricated devices was done for the measurement of current density-voltage characteristics, device reflectance, thickness, refractive index and extinction coefficient. It was observed that device with m-MTDATA of 5 nm as anode interfacial layer and Alq3 of 5 nm as cathode interfacial layer resulted in better performance

An Infrastructure for acquiring high quality semantic metadata

Because metadata that underlies semantic web applications is gathered from distributed and heterogeneous data sources, it is important to ensure its quality (i.e., reduce duplicates, spelling errors, ambiguities). However, current infrastructures that acquire and integrate semantic data have only marginally addressed the issue of metadata quality. In this paper we present our metadata acquisition infrastructure, ASDI, which pays special attention to ensuring that high quality metadata is derived. Central to the architecture of ASDI is a erification engine that relies on several semantic web tools to check the quality of the derived data. We tested our prototype in the context of building a semantic web portal for our lab, KMi. An experimental evaluation omparing the automatically extracted data against manual annotations indicates that the verification engine enhances the quality of the extracted semantic metadata