47246127
Enhancing Semantic Web by Semantic Annotation: Experiences in Building an Automatic Conference Calendar
Muhammad Abulaish, Jamia Millia Islamia, India Fabrizio Angiulli, Universita della Calabria, Italy Anupriya Ankolekar, Carnegie Mellon University, USA Martin Arlitt, HP Labs, USA Helen Ashman, University of South Australia, Australia Bruno Bachimont, Universite de Technologie de Compigne, France Salem Benferhat, Universite d'Artois, France Shlomo Berkovsky, University of Haifa, Israel Omar Boucelma, University of Aix-Marseille 3, France Patrick Brezillon, Universite Paris 6, France Cory Butz, University Of Regina, Canada Rajkumar Buyya, University of Melbourne, Australia Maria Claudia Buzzi, National Research Council, Italy Mario Cannataro, University of "Maria Graecia" Catanzaro, Italy Nick Cercone, Dalhousie University, Canada Liming Chen, University of Ulster, UK Yixin Chen, Washington University, USA William K. Cheung, Hong Kong Baptist University, Hong Kong Yiu-ming Cheung, Hong Kong Baptist University, Hong Kong Joongmin Choi, Hanyang University, Korea Ruth Cobos, Universidad Autonoma de Madrid, Spain Nigel Collier, National Institute of Informatics, Japan Juan Carlos Cubero, University of Granada, Spain Alfredo Cuzzocrea, DEIS-Unical, Italy Jos de Bruijn, University of Innsbruck, Austria Martine De Cock, Ghent University, Belgium Maarten de Rijke, ISLA, University of Amsterdam, The Netherlands Dominique Decouchant, Laboratoire LIG, France Jean-Yves Delort, Montpellier University, France Ying Ding, University of Innsbruck, Austria Yaniv Eytani, University of Illinois at Urbana-Champaign, USA Maria Covadonga Fernandez-Baizan, Technical University of Madrid, Spain Naoki Fukuta, Shizuoka University, Japan Maurizio Gabbrielli, University of Bologna, Italy Fabien Gandon, Institut de Recherche en Informatique de Toulouse, France Xiaoying Gao, Victoria University of Wellington, New Zealand
4332951
RiMOM: A Dynamic Multistrategy Ontology Alignment Framework
Ontology alignment identifies semantically matching entities in different ontologies. Various ontology alignment strategies have been proposed; however, few systems have explored how to automatically combine multiple strategies to improve the matching effectiveness. This paper presents a dynamic multistrategy ontology alignment framework, named RiMOM. The key insight in this framework is that similarity characteristics between ontologies may vary widely. We propose a systematic approach to quantitatively estimate the similarity characteristics for each alignment task and propose a strategy selection method to automatically combine the matching strategies based on two estimated factors. In the approach, we consider both textual and structural characteristics of ontologies. With RiMOM, we participated in the 2006 and 2007 campaigns of the Ontology Alignment Evaluation Initiative (OAEI). Our system is among the top three performers in benchmark data sets.
2957538
WWW 2008 workshop on social web search and mining: SWSM2008
The invention relates to a method for the manufacture of diaphragms of fibrous potassium titanate and an organic binder for electrochemical cells and has as the object to develop such a method in such a direction that it allows the manufacture of diaphragms which are relatively thin but have, at the same time, a sufficient long-term chemical and mechanical stability at high operating temperatures. According to the invention, provision is made for this purpose to apply potassium titanate, together with polytetrafluoroethylene and a styrene-butadiene copolymer, from a suspension, to a screen with a mesh width between about 0.1 and 0.4 mm. The diaphragms made by the method according to the invention are suitable particularly as cover layers in fuel cells with an alkaline electrolyte.
4317013
Verification of Web Service Conversations Specified in WSCL
This paper studies one of the standards about Web service conversations, the WSCL specification. We propose a method to verify conversations in WSCL. In this method we first propose using a translator to convert WSCL documents into promela, the modeling language of the model checker SPIN. Then, we run SPIN to check the conversation model against the correctness properties specified by the designer. A toolkit for WSCL verification is introduced at the end of this paper.
4336661
Actively Learning Ontology Matching via User Interaction
Ontology matching plays a key role for semantic interoperability. Many methods have been proposed for automatically finding the alignment between heterogeneous ontologies. However, in many real-world applications, finding the alignment in a completely automatic way is highly infeasible . Ideally, an ontology matching system would have an interactive interface to allow users to provide feedbacks to guide the automatic algorithm. Fundamentally, we need answer the following questions: How can a system perform an efficiently interactive process with the user? How many interactions are sufficient for finding a more accurate matching? To address these questions, we propose an active learning framework for ontology matching, which tries to find the most informative candidate matches to query the user. The user's feedbacks are used to: 1) correct the mistake matching and 2) propagate the supervise information to help the entire matching process. Three measures are proposed to estimate the confidence of each matching candidate. A correct propagation algorithm is further proposed to maximize the spread of the user's "guidance". Experimental results on several public data sets show that the proposed approach can significantly improve the matching accuracy (+8.0% better than the baseline methods).
4301104
Discovering the staring people from social networks
In this paper, we study a novel problem of staring people discovery from social networks, which is concerned with finding people who are not only authoritative but also sociable in the social network. We formalize this problem as an optimization programming problem. Taking the co-author network as a case study, we define three objective functions and propose two methods to combine these objective functions. A genetic algorithm based method is further presented to solve this problem. Experimental results show that the proposed solution can effectively find the staring people from social networks.
12619937
Content-Based 3D Model Retrieval for Digital Museum
In this paper, we propose a new shape feature for shape-similarity search of 3D polygonal-mesh models in digital museum. The shape feature is an extension of the D2 shape functions proposed by Osada. Our proposed shape feature is a combination of geometry and texture which is also invariant to similarity transformation. Experiments showed that, our method achieved better performance improvement especially for appearance retrieval of 3d model.
207773102
Anisotropic Feature-Preserving Smoothing of 3D Mesh
34234891
The Fuzzy PI Control for the DSTATCOM Based on the Balance of Instantaneous Power
The DSTATCOM regulates the voltage at the point of common coupling (PCC) by injecting reactive power to the PCC, making it meet the requirement of the voltage quality. First, this paper deduces from the balance theory of instantaneous power of the DSTATCOM system the direct output voltage control strategy, in which the current detection circuit is not demanded. Compared with the cascade control strategy, it has the merits of a simple structure and fast response, but it doesn't perform well when the parameters of the system are changed. So the paper proposes the fuzzy PI control to solve the problem. The validity and effectiveness of the control strategy has been verified by theoretical analysis and digital simulation.
27905715
Rebuild of King Fang 40 BC musical scales by He's inequality
He Chengtian s inequality is used to re-build the King Fang s musical scales 41/24 and 53/31 in 40 BC. The technology, which might be little known to the West, has been used for millennia by ancient Chinese, and can be powerfully applied to nonlinear problems. 2004 Elsevier Inc. All rights reserved.