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On context-aware co-clustering with metadata support

Claudio Schifanella, Maria Luisa Sapino, K. Selçuk Candan
2011 Journal of Intelligent Information Systems  
How additional metadata affects co-clustering, however, depends on how the process is modified to be context-aware.  ...  Relying on this single input matrix, co-clustering discovers relationships holding among groups of elements from the two input domains.  ...  In the context of co-clustering with metadata, we also need quality measures that measure how well the co-clusters align with the information given by the metadata provided by the user.  ... 
doi:10.1007/s10844-011-0151-x fatcat:dog7ndkdtfeblhglwhvzh2lb6i

Preservation DataStores: Architecture for Preservation Aware Storage

Michael Factor, Dalit Naor, Simona Rabinovici-Cohen, Leeat Ramati, Petra Reshef, Julian Satran, David L. Giaretta
2007 24th IEEE Conference on Mass Storage Systems and Technologies (MSST 2007)  
The transformation allows more robust and optimized implementations for preservation aware storage.  ...  It is a layered architecture that builds upon open standards, along with the OAIS, XAM and OSD standards.  ...  Then, each cluster is placed on the same media unit (e.g., tape volume) to maintain physical co-location.  ... 
doi:10.1109/msst.2007.4367960 fatcat:pl4km6dk5nerzhtrkacllznxku

Mobile social networking middleware: A survey

Paolo Bellavista, Rebecca Montanari, Sajal K. Das
2013 Pervasive and Mobile Computing  
, such as physical location and co-presence.  ...  extent by enabling mobile users to benefit from opportunistically created social communities; these communities should be determined not only by common interests or contacts but also by mobility-related context  ...  The algorithm performs time-based clustering on users' mobility traces to infer repeated user co-presence at the same place.  ... 
doi:10.1016/j.pmcj.2013.03.001 fatcat:pvtkbe5unvgjrcupo6inxq4qqe

Biomedical word sense disambiguation with ontologies and metadata: automation meets accuracy

Dimitra Alexopoulou, Bill Andreopoulos, Heiko Dietze, Andreas Doms, Fabien Gandon, Jörg Hakenberg, Khaled Khelif, Michael Schroeder, Thomas Wächter
2009 BMC Bioinformatics  
All approaches over all conditions achieve 80% success rate on average. The 'MetaData' approach performed best with 96%, when trained on high-quality data.  ...  The 'Term Cooc' method defines a logodds ratio for co-occurring terms including co-occurrences inferred from the ontology structure. The 'MetaData' approach trains a classifier on metadata.  ...  For the 'Term Cooc' method (TC), the performance of co-occurrences of GO/MeSH terms and inferred co-occurrences of GO/MeSH terms (each one of the variants combined -or not-with Support Vector Machines)  ... 
doi:10.1186/1471-2105-10-28 pmid:19159460 pmcid:PMC2663782 fatcat:gv64eqpyvna6jmfzxugdltml3m


Omar Alonso, Sandeepan Banerjee, Mark Drake
2006 Proceedings of the 15th international conference on World Wide Web - WWW '06  
Information grid resources span all the data in the organization and all the metadata required to make it meaningful.  ...  It is well understood that the key for successful Semantic Web applications depends on the availability of machine understandable meta-data.  ...  Hit list clustering is used for presenting search results in context.  ... 
doi:10.1145/1135777.1135913 dblp:conf/www/AlonsoBD06 fatcat:nwkhhyrejfe77mu3ymkhmk56p4

Using context and similarity for face and location identification

Marc Davis, Michael Smith, Fred Stentiford, Adetokunbo Bamidele, John Canny, Nathan Good, Simon King, Rajkumar Janakiraman, Simone Santini, Raimondo Schettini, Theo Gevers
2006 Internet Imaging VII  
Cameraphones offer a unique opportunity to pursue new approaches to media analysis and management: namely to combine the analysis of automatically gathered contextual metadata with media content analysis  ...  In this paper, new methods for determining image similarity are combined with analysis of automatically acquired contextual metadata to substantially improve the performance of face and place recognition  ...  The authors wish to acknowledge the support of Research and Venturing within British Telecom, Hewlett-Packard, France Telecom, Nokia, Ricoh Innovations, Opera Software, TEKES, the University of California  ... 
doi:10.1117/12.650981 fatcat:xn352rs5bjfvnawta2u2z74enm

Distributed data provenance for large-scale data-intensive computing

Dongfang Zhao, Chen Shou, Tanu Maliky, Ioan Raicu
2013 2013 IEEE International Conference on Cluster Computing (CLUSTER)  
In this paper, we explore the feasibility of a general metadata storage and management layer for parallel file systems, in which metadata includes both file operations and provenance metadata.  ...  The authors are grateful to Xian-He Sun for providing the access to the Linux cluster.  ...  is supported by the Office of Science of the U.S.  ... 
doi:10.1109/cluster.2013.6702685 dblp:conf/cluster/ZhaoSMR13 fatcat:yxktbz7zu5gf7m2umseien36de

Mobile access to personal digital photograph archives

Cathal Gurrin, Gareth J. F. Jones, Hyowon Lee, Neil O'Hare, Alan F. Smeaton, Noel Murphy
2005 Proceedings of the 7th international conference on Human computer interaction with mobile devices & services - MobileHCI '05  
Photos are labeled with the GPS location and time they are taken and this is used to derive other context-based metadata such as weather conditions and daylight conditions.  ...  Handheld computing devices are becoming highly connected devices with high capacity storage. This has resulted in their being able to support storage of, and access to, personal photo archives.  ...  This is done by automatically grouping photos together into logical groups by examining when and where clusters of photos co-occur and choosing a single representative photo to represent the whole cluster  ... 
doi:10.1145/1085777.1085842 dblp:conf/mhci/GurrinJLOSM05 fatcat:eq2syjmk5jck3cav4w755obnbu

Improving the geospatial consistency of digital libraries metadata

Walter Renteria-Agualimpia, Francisco J. Lopez-Pellicer, Javier Lacasta, F. Javier Zarazaga-Soria, Pedro R. Muro-Medrano
2015 Journal of information science  
The most important ones in the geographic context are ISO 19115 [7], FGDC [8], DIF [9], and Dublin Core [10].  ...  The proposed approach was able to identify automatically inconsistent metadata records (870 out of 10,575) and propose fixes to most of them (91.5%) These results support that the proposed methodology  ...  Acknowledgements This work has been partially supported by the Spanish Government (project TIN2012-37826-C02-01), the Government of Aragon Funding This research received no specific grant from any funding  ... 
doi:10.1177/0165551515597364 fatcat:wrbuopdzvnavxmxmkd7wfz63gq

Context-aware image semantic extraction in the social web

Massimiliano Ruocco
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
Such pictures are often surrounded by a set of metadata or image tags, constituting the image context.  ...  With the advent of the paradigm of Web 2.0 especially the past five years, the concept of image context has further evolved, allowing users to tag their own and other people's pictures.  ...  These images are associated with metadata.  ... 
doi:10.1145/2187980.2188005 dblp:conf/www/Ruocco12 fatcat:lmd63pxt6zfy3igcghgsnsyc54

D3.6 Proposal on integration of metadata catalogues to support cross-disciplinary FAIR uptake

Eva Mendez, Tony Hernandez, Angus Whyte, Joy Davidson
2020 Zenodo  
, PaNOSC, SSHOC, ENVRIFAIR, and ESCAPE), and we describe a pilot proposal of metadata catalogue integration to improve cross-disciplinary FAIR uptake with the metadata catalogues of the clusters.  ...  We discuss the problem with five domains (Life Sciences; Photon and Neutron; Social Sciences and Humanities; Environmental research, and with the corresponding five funded "EOSC clusters projects" (EOSC-Life  ...  EUDAT/B2FIND are keen to provide community support on how to deal with metadata and to encourage repositories to map to B2FIND schema.  ... 
doi:10.5281/zenodo.5357560 fatcat:2mgmm4nvt5bmrgkb7oe3wwhq4u

Extraction of social context and application to personal multimedia exploration

Brett Adams, Dinh Phung, Svetha Venkatesh
2006 Proceedings of the 14th annual ACM international conference on Multimedia - MULTIMEDIA '06  
We note the application of social context is potentially much broader than personal media management, including context-aware device behaviour, life logs, social networks, and location-aware information  ...  We extract locational co-presence of these users and formulate a novel measure of social tie strength based on frequency of interaction, and the nature of spheres it occurs within.  ...  Our social metadata aware browser is then presented to the users for media filtering and browsing.  ... 
doi:10.1145/1180639.1180857 dblp:conf/mm/AdamsPV06 fatcat:huj3dc3jzrfaff2ix2uqkbdfwm

Cspace – A More Practical And Customizable Repository Platform Serving Local Needs

Zhoming Zhu, Wangqiang Zhang, Wei Liu, Xiaona Yao, Linong Lu
2013 Zenodo  
In support of its construction and helping achieve above goals, the software toolkit CSpace is developed based on popular OSS DSpace package [2] and was officially open sourced in October last year.  ...  Moreover, facing the evolving context of digital content in research environment, CSpace allows for creating or tailoring content type aware templates and associated rules in a non-programmable way, to  ...  ACKNOWLEDGMENT This work was supported by the Knowledge Innovation Program of the Chinese Academy of Sciences and the West Light Foundation of The Chinese Academy of Sciences.  ... 
doi:10.5281/zenodo.12401 fatcat:dtspa2wlrvhplkcue7kij3sqmq

ENVRI-FAIR D7.5: Report on the co-development and technical workshops, V1

Zhiming Zhao, Siamak Farshidi, Markus Stocker, Barbara Magagna, Markus Fiebig, Keith Jeffery, Peter Thijsse, Christian Pichot, Nicola Fiore
2021 Zenodo  
The objective of this task is to provide co-development support driven by an implementation plan that identified by each subdomain, joint use cases among RIs or subdomains, and other needs identified during  ...  the entire cluster), providing more efficient services for researchers and policymakers.  ...  Of particular note are discussions among science clusters on metadata -partly through the SEMAF [2] co-creation EOSC project but also in 1:1 discussion, some of which within the context of RDA and especially  ... 
doi:10.5281/zenodo.5052177 fatcat:z277fl2oefdytbcue6lvyspsju

Review of Machine Learning Approaches to Semantic Web Service Discovery

Shalini Batra, Seema Bawa
2010 Journal of Advances in Information Technology  
Various Web service discovery frameworks are applying machine learning techniques like clustering, classification, association rules, etc., to discover the services semantically.  ...  A Web service can discover and invoke any service anywhere on the Web, independently of the language, location, machine, or other implementation details.  ...  Context-Aware SWS Discovery Contexts have increasingly been considered for better service provision.  ... 
doi:10.4304/jait.1.3.146-151 fatcat:lhdvgen5bfh2jhb37nrx6emptm
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