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Knowledge Discovery in Databases and Libraries
ENGLISH

Anil Kumar Dhiman
2011 DESIDOC Journal of Library & Information Technology  
of data remains a difficult and unsolved problem.  ...  As library and information centres are considered the backbone of knowledge organisation, knowledge discovery in databases (KDD) is also getting attention of library and information scientists.  ...  PROCESS OF KNOWLEDGE DISCOVERY IN DATABASES A data warehouse is an ideal means for storing data, which are to be processed by a KDD system.  ... 
doi:10.14429/djlit.31.6.1319 fatcat:cpjjesfgfbc6dndvlczmkhwabe

Prospects for automated solution of the subject characterization problem in the bibliographic services

S. Schiminovich
1982 International Astronomical Union Colloquium  
AbstractEvidence is presented on the feasibility of an automated generation of classification schemes and the subsequent indexing of papers with the automatically generated subject headings.  ...  The output generated for Astronomy and Astrophysics compares favorably with the schemes used by the services and is not inconsistent with recently proposed classifications.  ...  likelihood THE ALGORITHM FOR AUTOMATIC CLASSIFICATION We have used the BPDA (Bibliographic Pattern Discovery Algorithm), introduced and described a number of years ago in references 1 and 2.  ... 
doi:10.1017/s0252921100082841 fatcat:jrczy5dl35d5lhm5vyjfoo25oa

Survey of semantic annotation platforms

Lawrence Reeve, Hyoil Han
2005 Proceedings of the 2005 ACM symposium on Applied computing - SAC '05  
The realization of the Semantic Web requires the widespread availability of semantic annotations for existing and new documents on the Web.  ...  Instead, current systems focus on the semi-automatic creation of annotations.  ...  Semiautomatic means, as opposed to completely automatic, are required because it is not yet possible to automatically identify and classify all entities in source documents with complete accuracy.  ... 
doi:10.1145/1066677.1067049 dblp:conf/sac/ReeveH05 fatcat:e7bwfayhljbavpd4afpnqbfwke

Bibliographic Classification in the Digital Age: Current Trends & Future Directions

Asim Ullah, Shah Khusro, Irfan Ullah
2017 Information Technology and Libraries  
Bibliographic classification is among the core activities of Library & Information Science that brings order and proper management to the holdings of a library.  ...  In this research article, we have investigated and reported different approaches to bibliographic classification of digital collections.  ...  Second, it is required to exploit hidden hierarchies and concepts to be better classified by the principles of bibliographic classification for precise discovery, search and retrieval (J. .  ... 
doi:10.6017/ital.v36i3.8930 fatcat:foi546rojvddba56lg6phidkqu

Semantics-based clustering approach for similar research area detection

Marion Olubunmi Adebiyi, Emmanuel B. Adigun, Roseline Oluwaseun Ogundokun, Abidemi Emmanuel Adeniyi, Peace Ayegba, Olufunke Oladipupo
2020 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
Our proposed system solves the challenge of high dimensionality and data sparsity faced by the traditional document clustering technique.  ...  In this study, we propose the use of ontology-based pre-processing, Latent Semantic Indexing and K-Means Clustering to develop a prototype similar research area detection system, that can be used to determine  ...  ACKNOWLEDGMENTS This research is fully sponsored by Landmark University Centre for Research and Development, Landmark University, Omu-Aran, Nigeria and Covenant University for Research and Discovery (CUCRID  ... 
doi:10.12928/telkomnika.v18i4.15001 fatcat:35gqessarngprozhjy3kyv2eoe

Implications of Big Data for Knowledge Organization

Fidelia Ibekwe-SanJuan, Geoffrey C. Bowker
2017 Knowledge organization  
There is, of necessity, a waiting period between a scientific discovery and its inclusion into universal bibliographic classifications that are known for portraying knowledge validated by the scientific  ...  The reasons given were similar to the ones that had dethroned the relevance of universal bibliographic classification schemes for document retrieval and knowledge representation: difficult-toimplement  ... 
doi:10.5771/0943-7444-2017-3-187 fatcat:fv4tldgvvzenzncfzckcgz3m6u

The Convergence of Metadata and Bibliographic Control? Trends and Patterns in Addressing the Current Issues and Challenges of Providing Subject Access

Jack Hang-tat Leong
2010 Knowledge organization  
The Convergence of Metadata and Bibliographic Control? Trends and Patterns in Addressing the Current Issues and Challenges of Providing Subject Access.  ...  Leong serves on the Board of Directors of the Canadian Foundation for Asian Culture. He is also a standing committee member of the IFLA Section "Library Services to Multicultural Populations."  ...  In their discussion of using document genres as a means to retrieve useful information, Crowston and Kwasnik argue that a document's genre is a subtle and complex concept.  ... 
doi:10.5771/0943-7444-2010-1-29 fatcat:73z2dwitsbhqtaj3scs6tkfxpm

A parallel computing approach to creating engineering concept spaces for semantic retrieval: the Illinois Digital Library Initiative project

Hsinchun Chen, B. Schatz, T. Ng, J. Martinez, A. Kirchhoff, Chienting Lin
1996 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Recommended for acceptance by R. W. Picard.  ...  Fov information on obtaining reprints of this article, please send e-mail to: transpami@computer.org, and reference IEEECS Log Number P96053. objects in five domains, two people favored the Same term with  ...  Unlike the IR tasks performed by the previous pattern matching, signature files, and inverted index algorithms, most of these machine learning algorithms require extensive pre-processing and analysis of  ... 
doi:10.1109/34.531798 fatcat:xufomoqlszddxn2ca3diazmbwi

Methods and Trends in Information Retrieval in Big Data Genomic Research

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
There was a surge of genomic information from the different literature and the production of genome datasets that catapulted the development of several tools for analyzing and presenting new found knowledge  ...  This paper described information retrieval (IR) and the common methods of finding, extracting, and mining information in genomic research through text mining, and natural language processing (NLP).  ...  This integration of algorithms and toolkits available for knowledge discovery in different genome was explored. ontologies, annotations, and the improved workflows for classification, regression, and clustering  ... 
doi:10.35940/ijitee.i1109.0789s219 fatcat:j2uramagd5a75jusrcor75w7ue

Statistical Translation of Hierarchical Classifications from Dewey Decimal Classification to the Regensburger Verbundklassifikation

Markus Michael Geipel
2015 D-Lib Magazine  
Larson [19] evaluated several methods for automatic assignment of Library of Congress Classification labels (LCC) based on title and subject headings of a document.  ...  For instance, a recall of 1:0 could easily be achieved by simply adding all classes of the classification system to T , thus retrieving all media units in the corpus, and thus by definition retrieving  ... 
doi:10.1045/may2015-geipel fatcat:v7twwk76kvaq3cp5pmcfrbu43i

Elementary approach towards Biological Data Mining

Faiz Hashmi
2017 International Journal of Trend in Scientific Research and Development  
The HCI-KDD approach, which is a synergistic combination of methodologies and approaches of two areas, Human-Computer Interaction (HCI) and Knowledge Discovery & Data Mining (KDD), offer ideal conditions  ...  In this paper we provide an overview on interactive and integrative knowledge discovery and data most important challenges, includes the need to develop and apply novel methods, algorithms and tools for  ...  In bioinformatics, pattern recognition is most often concerned with the automatic classification of character sequences representative of the nucleotide bases or molecular structures, and of 3D protein  ... 
doi:10.31142/ijtsrd7198 fatcat:7q7uw6csazc4dolpaz5zenb574

Web mining in soft computing framework: relevance, state of the art and future directions

S.K. Pal, V. Talwar, P. Mitra
2002 IEEE Transactions on Neural Networks  
Index Terms-Artificial neural networks (ANNs), data mining, fuzzy logic (FL), genetic algorithms (GAs), information retrieval (IR), knowledge discovery, pattern recognition, rough sets (RSs), search engines  ...  The limitations of some of the existing web mining methods and tools are enunciated, and the significance of soft computing (comprising fuzzy logic (FL), artificial neural networks (ANNs), genetic algorithms  ...  Each task is described below along with a survey of the existing methodologies/tools for the task. 1) Information Retrieval (IR) (Resource Discovery): Resource discovery or IR deals with automatic retrieval  ... 
doi:10.1109/tnn.2002.1031947 pmid:18244512 fatcat:a2ea5nfnczgjlpwsbwe6ebt5hi

Correlated Concept based Topic Updation Model for Dynamic Corpora

J. Jayabharathy, S. Kanmani, N. Sivaranjani
2014 International Journal of Computer Applications  
A rapid growth of documents available on the Internet, digital libraries, medical documents, news wires and other scientific document corpuses has motivated the researchers to propose many text mining  ...  Topic updation is the process of identifying and renewing the discovered labels whenever the document clusters are updated dynamically.  ...  It is a more specific technique for unsupervised document categorization, automatic topic discovery and rapid information retrieval or filtering [2] .  ... 
doi:10.5120/15664-3467 fatcat:mhg5zukvyncxfnwkkmfrs3wbmu

GANNET: A Machine Learning Approach to Document Retrieval

Hsinchun Chen, Jinwoo Kim
1994 Journal of Management Information Systems  
The result was a representa- tion of the consensual meaning of key words and documents shared by some group of users.  ...  knowledge discovery, machine learning, and neural network modeling and classification.  ... 
doi:10.1080/07421222.1994.11518048 fatcat:cjqkqr6d4rggpem7ckgxzwzw44

Visual Analysis of Classification Scheme

Veslava Osińska
2010 Knowledge organization  
She has applied her Computer Science background and programming skills to research areas which include effective visualization of multidimensional information, as for example, bibliographical data generated  ...  Veslava Osińska received an MSc in physics from Vilnius University and a Ph.D. in Information Science and Bibliography from Nicolaus Copernicus University in Torun (Poland), where she teaches Information  ...  Classes and document nodes locations were mapped on a sphere by means of Multidimensional Scaling (MDS) coordinates.  ... 
doi:10.5771/0943-7444-2010-4-299 fatcat:xrgxpzfc2bhihimhrq4fk4d47m
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