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Supporting Document-Category Management: An Ontology-based Document Clustering Approach

Yen-Hsien Lee, Ching-Yi Tu
2008 Pacific Asia Conference on Information Systems  
To address problems inherent to the traditional lexicon-based approach, we propose an Ontology-based Document Clustering (ODC) technique, which employs a domain-specific ontology to support the proceeding  ...  Automated document-category management, particularly the document clustering, represents an appealing alternative of supporting a user's search, access, and utilization of the ever-increasing corpora of  ...  Second, the proposed ontology-based approach also contributes to document management research.  ... 
dblp:conf/pacis/LeeT08 fatcat:nqqcma33ejgtvmkvoqgmxazohu

Ontology Management [chapter]

Stephan Bloehdorn, Peter Haase, Zhisheng Huang, York Sure, Johanna Völker, Frank van Harmelen, Rudi Studer
2009 Semantic Knowledge Management  
This chapter presents a generic system architecture for an ontology management infrastructure that supports the construction of semantic applications.  ...  Key component functionalities of an ontology management system are discussed, including ontology mapping, ontology learning, debugging reasoning with inconsistent ontologies, and (structured and unstructured  ...  The main advantage of the bottom-up approach is that it can deal with any DL-based ontology supported by an external reasoner.  ... 
doi:10.1007/978-3-540-88845-1_2 fatcat:jer6vbksjbgspcqvl2wgahsuy4

Automated knowledge discovery in advanced knowledge management

Marko Grobelnik, Dunja Mladenić, John Davies
2005 Journal of Knowledge Management  
Originality/value This paper provides an interesting collection of selected knowledge discovery methods applied in different context but all contributing in some way to knowledge management.  ...  In this paper we present approaches of various research subfields working in the area of knowledge discovery from different sources (such as databases, documents, networks, etc), in different forms (e.g  ...  Acknowledgements This work was supported by the Slovenian Research Agency and the IST Programme of the European Community under SEKT Semantically Enabled Knowledge Technologies (IST-1-506826-IP) and PASCAL  ... 
doi:10.1108/13673270510622500 fatcat:l7sdmkplzzf6vgtsrekmp7hb7m

Next generation knowledge management

J. Davies, R. Studer, Y. Sure, P. W. Warren
2005 BT technology journal  
Meta-data and associated ontologies then allows more intelligent software systems to be written, automating the analysis and exploitation of Web-based information.  ...  Specifically, the paper discusses the use of knowledge discovery and human language technology to (semi-)automatically derive the required ontologies and meta-data, along with a methodology to support  ...  Section 2, in particular, is based on reviews on the state of the art in knowledge discovery and information extraction, undertaken respectively by the Jozef Stefan Institute  ... 
doi:10.1007/s10550-005-0040-3 fatcat:f2tkex6hlfeerjpcs3y734i3ee

Data fusion for the management of multimedia documents

Francoise Deloule, Patrick Lambert, Daniel Beauchene, Bogdan Ionescu
2007 2007 10th International Conference on Information Fusion  
Their efficient management requires tools to provide services that measure up to users' expectations, based on the contents of these voluminous document databases.  ...  On the other hand, if creating ontology makes it possible to manage the concept of "trade" in texts, additional data can be exploited from document contents.  ...  Acknowledgment The authors would like to thank CICA [1] and Folimage company [17] for providing us with the animation movies, Ontologos Corp. for providing software (OCW) supporting the OK ontology  ... 
doi:10.1109/icif.2007.4408082 dblp:conf/fusion/DelouleLBI07 fatcat:j3jya77yqrfwhkpsk2utq3csya

A Narravite Cloud Storage Management using Multi-level Semantic Bonding Technique

2019 International journal of recent technology and engineering  
Text based clustering algorithms and Semantic based approaches are defined to improve the performance of storage management.  ...  To solve this issue, an efficient semantic bonding measure based clustering and data management algorithm is presented.  ...  Semantic Bonding Based Cloud Data Management: The proposed multi-level semantic bonding measure based approach reads the input document set.  ... 
doi:10.35940/ijrte.b1068.0982s1119 fatcat:pvuesnoqjza4jcoj2geodoa7na

Managing semantic content for the Web

A. Sheth, C. Bertram, D. Avant, B. Hammond, K. Kochut, Y. Warke
2002 IEEE Internet Computing  
This technology was licensed to Taalee, which further developed and patented the technology. 10 Voquette later acquired Taalee and now provides SCORE-based products.  ...  This approach requires an ontology involving the concepts of sectors and companies and the relationship between them.  ...  I The classification-based method associates sets of entities and entity classes with document categories, either by human-generated rules or from training documents.  ... 
doi:10.1109/mic.2002.1020330 fatcat:pyvzhalzgbbrbp3pamc6n3w3tm

A document management methodology based on similarity contents

F Meziane
2004 Information Sciences  
In this paper we propose a method for organising, storing and retrieving documents based on similarity contents.  ...  The method uses techniques based on information retrieval, document indexation and term extraction and indexing.  ...  Acknowledgements The authors as well as the E-Cognos Consortium would like to acknowledge the nancial support of the European Commission under the IST programme.  ... 
doi:10.1016/j.ins.2003.08.009 fatcat:nhw6lr6f2bbnnmmpv2zamcw5fi

ProcMiner: Advancing Process Analysis and Management

Miika Nurminen, Anne Honkaranta, Tommi Karkkainen
2007 2007 IEEE 23rd International Conference on Data Engineering Workshop  
Content-based document clustering is applied to process models represented as XML database in order to find topical groups from models.  ...  The approach is demonstrated by ProcMiner -an explorative research prototype for management, consolidating, publishing, retrieving, and analyzing process models.  ...  Support to process mining by content-based document clustering by using ExtMiner [24] , a platform for structured document retrieval and text mining.  ... 
doi:10.1109/icdew.2007.4401065 dblp:conf/icde/NurminenHK07 fatcat:xww7bognfrgjvlxm2r7dxiiwva

Using Wikipedia categories for compact representations of chemical documents

Benjamin Köhncke, Wolf-Tilo Balke
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
These portals rely on external knowledge bases, respectively ontologies, mapping documents to more general concepts allowing for suitable classifications and navigational browsing.  ...  We compare the results to the domain-specific ChEBI ontology and the results show that Wikipedia categories indeed allow useful descriptions for chemical documents that are even better than descriptions  ...  One opportunity is to use approaches for automatic ontology creation. These approaches are usually based on hierarchic clustering algorithms [1] .  ... 
doi:10.1145/1871437.1871735 dblp:conf/cikm/KohnckeB10 fatcat:tidhqgl2zzb37nqgoqeyhdzuv4

An Ontology-Based Knowledge Management Platform

Arantza Aldea, René Bañares-Alcántara, Jaime Bocio, Javier Gramajo, David Isern, Antonis C. Kokossis, Laureano Jiménez, Antonio Moreno, David Riaño
2003 International Joint Conference on Artificial Intelligence  
Conceptually similar documents would get clustered into categories and information could then be retrieved by statistical approaches.  ...  These general-purpose agents will maintain a goal to periodically access the ontology and support search functions.  ...  Conceptually similar documents will get clustered into categories; information will then be extracted by statistical approaches.  ... 
dblp:conf/ijcai/AldeaBBGIKJMR03 fatcat:acgfztpbhne4jfunlhydbb3iau

Structuring technological information for technology roadmapping: data mining approach

Byungun Yoon, Robert Phaal
2013 Technology Analysis & Strategic Management  
Moreover, this paper explains how this approach can be applied in each step of roadmapping (preliminary, mapping and managing steps).  ...  This research identifies the characteristics of data which can be potentially used in roadmapping and presents an approach to yielding important information from such raw data through various data mining  ...  In the managing (ex post) step, newly collected documents can be classified into a predefined category through a rule.  ... 
doi:10.1080/09537325.2013.832744 fatcat:tzuke6pwrnci5phqjzqyxgkphy

Enhancing portability with multilingual ontology-based knowledge management

Aviv Segev, Avigdor Gal
2008 Decision Support Systems  
In this paper we propose an ontology-based model for multilingual knowledge management in information systems.  ...  The proposed mechanism was tested in an actual multilingual eGovernment environment and by using real-world news syndication traces.  ...  Acknowledgments The work was partially supported by two European Commission 6 th Framework IST projects, TerreGov ( and QUALEG (, and the Fund for  ... 
doi:10.1016/j.dss.2007.07.011 fatcat:jwg65ypz5vdzhhdxum62oiyxei

Building an ontology and process architecture for engineering asset management [chapter]

Vladimir Frolov, David Mengel, Wasana Bandara, Yong Sun, Lin Ma
2010 Engineering Asset Lifecycle Management  
Lin (2009) Building an ontology and process architecture for engineering asset management.  ...  The result of this research is the first attempt at developing an asset management ontology and process architecture.  ...  Acknowledgments This research was conducted within the CRC for Integrated Engineering Asset Management, established and supported under the Australian Government's Cooperative Research Centres Programme  ... 
doi:10.1007/978-0-85729-320-6_11 fatcat:nwih5b2bnrfcbe3jeimcet56ge

Biomedical ontologies in action: role in knowledge management, data integration and decision support

O Bodenreider
2008 IMIA Yearbook of Medical Informatics  
To provide typical examples of biomedical ontologies in action, emphasizing the role played by biomedical ontologies in knowledge management, data integration and decision support.  ...  The roles played by biomedical ontologies are classified into three major categories: knowledge management (indexing and retrieval of data and information, access to information, mapping among ontologies  ...  Acknowledgments This research was supported in part by the Intramural Research Program of the National Institutes of Health (NIH), National Library of Medicine (NLM).  ... 
pmid:18660879 pmcid:PMC2592252 fatcat:axl74koixzbffmfi6m3txvlwqu
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