BibSonomy publications for /author/HamasakiSat Oct 29 00:00:00 CEST 2011IGARSSconf/igarss/2011894-897Hardware performance of L-band SAR system onboard ALOS-2.2011dblp Wed Aug 10 00:00:00 CEST 2011Discovery Scienceconf/dis/2004371-379Lecture Notes in Computer ScienceDiscovering Relationships Among Catalogs.32452004dblp Fri Aug 05 00:00:00 CEST 2011IGARSSconf/igarss/20072632-2635Application of Polarimetric SAR images acquired in square-loop flights.2007dblp Thu Aug 04 00:00:00 CEST 2011International Semantic Web Conferenceconf/semweb/2004591-604Lecture Notes in Computer ScienceMetadata-Driven Personal Knowledge Publishing.32982004dblp Thu Jul 07 00:00:00 CEST 2011PRICAIconf/pricai/2004944-945Lecture Notes in Computer ScienceA Multi-strategy Approach for Catalog Integration.31572004dblp Wed Jul 06 00:00:00 CEST 2011PROFESconf/profes/2004263-273Lecture Notes in Computer ScienceAn Empirical Evaluation of Predicting Runaway Software Projects Using Bayesian Classification.30092004dblp Tue Jul 05 00:00:00 CEST 2011KESconf/kes/2003-1929-935Lecture Notes in Computer ScienceNeighborhood Matchmaker Method: A Decentralized Optimization Algorithm for Personal Human Network.27732003dblp Wed Jun 15 00:00:00 CEST 2011JSAI Workshopsconf/jsai/2004226-236Lecture Notes in Computer ScienceApplication and Analysis of Interpersonal Networks for a Community Support System.36092004dblp Mon Apr 04 00:00:00 CEST 2011WWW (Companion Volume)conf/www/2011c149-150An adaptive ontology-based approach to identify correlation between publications.2011dblp Wed Mar 30 00:00:00 CEST 2011EKAWconf/ekaw/2004474-476Lecture Notes in Computer ScienceA Hybrid Algorithm for Alignment of Concept Hierarchies.32572004dblp Wed Mar 23 00:00:00 CET 2011CSCWconf/cscw/2011641-644Social Infobox: collaborative knowledge construction by social property tagging.2011dblp Thu Feb 17 17:42:21 CET 2011International Workshop on Semantic Web for Collaborative Knowledge Acquisition (SWECKA2007)Ontology Extraction using Social Network2007ol_web2.0 data_socialnetworks This paper proposes integration of a social network with the tripartite model of ontologies by P. Mika. That model is based on three dimensions, i.e. actors, concepts and instances, and illustrates ontology emergence using actor-concept and conceptinstance relations. However, another important ingredient is the actor-actor relation. For example, a vocabulary is sometimes shared within a community, which consists of dense relations among persons. Through considering of who knows whom (as described in FOAF) and who collaborates with whom, the extracted ontology might be improved. We propose an advanced model based on Mika’s work, and describe a case study using the model. We show an application of an extracted ontology for information recommendation for academic conferences.Thu Dec 23 00:00:00 CET 2010ASP-DACconf/aspdac/2010464-465SOC for car navigation system with a 55.3GOPS image recognition engine.2010dblp Sat Nov 06 00:00:00 CET 2010ICIDSconf/icids/2010117-122Lecture Notes in Computer ScienceZuzie: Collaborative Storytelling Based on Multiple Compositions.64322010dblp Wed Aug 18 00:00:00 CEST 2010ICWSMconf/icwsm/2009Network Analysis of an Emergent Massively Collaborative Creation Community: How Can People Create Videos Collaboratively without Collaboration?2009dblp Wed Jan 27 00:00:00 CET 2010ICDMconf/icdm/2009219-228TrBagg: A Simple Transfer Learning Method and its Application to Personalization in Collaborative Tagging.2009dblp Thu Jul 30 00:00:00 CEST 2009IEICE Transactions3315-322Liquid-Phase Detection of Biological Targets with Magnetic Marker and Superconducting Quantum Interference Device.92-C2009dblp Wed Jun 24 00:00:00 CEST 2009IEICE Transactions121859-1862Organic Photodetectors Using Triplet Materials Doped in Polyalkylfluorene.91-C2008dblp Thu Jun 04 20:46:11 CEST 2009Journal of Web Semantics4262--278{POLYPHONET:} An advanced social network extraction system from the Web52007searchengine,socialnetwork,webmining Social networks play important roles in the Semantic Web: knowledge management, information retrieval, ubiquitous computing, and so on. We propose a social network extraction system called {POLYPHONET,} which employs several advanced techniques to extract relations of persons, to detect groups of persons, and to obtain keywords for a person. Search engines, especially Google, are used to measure co-occurrence of information and obtain Web documents. Several studies have used search engines to extract social networks from the Web, but our research advances the following points: first, we reduce the related methods into simple pseudocodes using Google so that we can build up integrated systems. Second, we develop several new algorithms for social network mining such as those to classify relations into categories, to make extraction scalable, and to obtain and utilize person-to-word relations. Third, every module is implemented in {POLYPHONET,} which has been used at four academic conferences, each with more than 500 participants. We overview that system. Finally, a novel architecture called Iterative Social Network Mining is proposed. It utilizes simple modules using Google and is characterized by scalability and relate-identify processes: identification of each entity and extraction of relations are repeated to obtain a more precise social network. {(C)} 2007 Elsevier {B.V.} All rights reserved.Mon Apr 13 00:00:00 CEST 2009CHIconf/chi/20091963-1972Familial collaborations in a museum.2009dblp