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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)  
The manual process of searching out individuals in an already existing research field is cumbersome and time-consuming.  ...  Our proposed system solves the challenge of high dimensionality and data sparsity faced by the traditional document clustering technique.  ...  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

Sequence clustering and labeling for unsupervised query intent discovery

Jackie Chi Kit Cheung, Xiao Li
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
We present an unsupervised method for clustering queries with similar intent and for producing a pattern consisting of a sequence of semantic concepts and/or lexical items for each intent.  ...  This often requires understanding the query intent in addition to the meaning of the query terms in order to access structured data sources.  ...  ACKNOWLEDGMENTS The authors would like to thank Alex Acero and Ye-Yi Wang for useful discussions.  ... 
doi:10.1145/2124295.2124342 dblp:conf/wsdm/CheungL12 fatcat:abor24tep5f5laokcnfqon7yhy

Alignment and dataset identification of linked data in Semantic Web

Kalpa Gunaratna, Sarasi Lalithsena, Amit Sheth
2014 Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery  
The Linked Open Data (LOD) cloud has gained significant attention in the Semantic Web community over the past few years.  ...  However, two of the key obstacles in using the LOD cloud are the limited support for data integration tasks over concepts, instances, and properties, and relevant data source selection for querying over  ...  In this regard, the Linked Data concept has taken a big leap in the technology and vision of Semantic Web.  ... 
doi:10.1002/widm.1121 fatcat:kepqzsvqe5cdzidminymidx2qm

Discovery and Invocation of Web Services using Multi-Dimensional Data Model with WSDL

Sumathi Pawar, Niranjan N. Chiplunkar
2017 Indian Journal of Science and Technology  
, data mining based approach and link-based approach.  ...  The drawbacks of the existing systems motivated the proposed system to use the WSDL-based method and to use an online search engine for the discovery of Web services.  ...  Ashok Kumar, for his help and blessings at the beginning of my research work. I also thank all the reviewers, editors-in-chief for their great support in reviewing this paper. References  ... 
doi:10.17485/ijst/2017/v10i17/108890 fatcat:cuh4tx43krechlbo5xb7vj353e

SegMine workflows for semantic microarray data analysis in Orange4WS

Vid Podpečan, Nada Lavrač, Igor Mozetič, Petra Novak, Igor Trajkovski, Laura Langohr, Kimmo Kulovesi, Hannu Toivonen, Marko Petek, Helena Motaln, Kristina Gruden
2011 BMC Bioinformatics  
Specifically, cutting-edge data analysis approaches, such as semantic data mining, link discovery, and visualization, have not yet been made available to researchers investigating complex biological datasets  ...  Then, a link discovery service is used for the creation and visualization of new biological hypotheses.  ...  Acknowledgements The work presented in this paper was supported by the European  ... 
doi:10.1186/1471-2105-12-416 pmid:22029475 pmcid:PMC3216973 fatcat:qcdty2y6azdsvfwtomeubx6a4m

Pay-as-you-go data integration for linked data

Norman W. Paton, Klitos Christodoulou, Alvaro A. A. Fernandes, Bijan Parsia, Cornelia Hedeler
2012 Proceedings of the 4th International Workshop on Semantic Web Information Management - SWIM '12  
Linked Data (LD) provides principles for publishing data that underpin the development of an emerging web of data.  ...  LD follows the web in providing low barriers to entry: publishers can make their data available using a small set of standard technologies, and consumers can search for and browse published data using  ...  Acknowledgments This work has been made possible by funding from the UK Engineering and Physical Sciences Research council, whose support we are pleased to acknowledge.  ... 
doi:10.1145/2237867.2237870 dblp:conf/sigmod/PatonCFPH12 fatcat:ercrblxh5zh4ria4tjh7y2u5k4

Exploiting Wikipedia as external knowledge for document clustering

Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, Xiaohua Zhou
2009 Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '09  
core words they use are probably synonyms or semantically associated in other forms.  ...  The most common way to solve this problem is to enrich document representation with the background knowledge in an ontology.  ...  Moreover, we will explore how to utilize the link structure among Wikipedia concepts for document clustering. ACKNOWLEDGEMENTS  ... 
doi:10.1145/1557019.1557066 dblp:conf/kdd/HuZLPZ09 fatcat:l7puoy6mbjbafpt7xlkzkmki7e

MOLIERE

Justin Sybrandt, Michael Shtutman, Ilya Safro
2017 Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '17  
Our network, implementation, and resulting data are all publicly available for the broad scientific community.  ...  At the heart of our approach lies a multi-modal and multi-relational network of biomedical objects extracted from several heterogeneous datasets from the National Center for Biotechnology Information (  ...  For example, we show the implicit link between Venlafaxine and HTR1A, and the involvement of DDX3 on Wnt signaling. These queries and results are detailed in Section 4.  ... 
doi:10.1145/3097983.3098057 pmid:29430330 pmcid:PMC5804740 dblp:conf/kdd/SybrandtSS17 fatcat:yt3qqjxpxfdezn3trux5465jtq

A Review of Web Document Clustering Approaches [chapter]

Nora Oikonomakou, Michalis Vazirgiannis
2009 Data Mining and Knowledge Discovery Handbook  
In this paper, we present an exhaustive survey of web document clustering approaches available on the literature, classified into three main categories: text-based, link-based and hybrid.  ...  The existence of an abundance of information, in combination with the dynamic and heterogeneous nature of the Web, makes information retrieval a difficult process for the average user.  ...  In order to determine these sets in the document collection and to weight the hyperedge, the algorithm uses an association rule discovery algorithm (Apriori).  ... 
doi:10.1007/978-0-387-09823-4_48 fatcat:7fpvzvugpba6jbemewc22jgwre

Warehousing complex data from the web

O. Boussaid, J. Darmont, F. Bentayeb, S. Loudcher
2008 International Journal of Web Engineering and Technology  
Our approach includes the integration of complex data in an ODS, in the form of XML documents; their dimensional modelling and storage in an XML data warehouse; and their analysis with combined OLAP and  ...  However, integrating such data into a decision-support process requires their representation in a form processable by OLAP and/or data mining techniques.  ...  Robert Wrembel and Prof. Jaroslav Pokorný, the editors, for inviting them to publish an article in this special issue.  ... 
doi:10.1504/ijwet.2008.019942 fatcat:ikqrnhgh7jflrjgne5dsa4tgu4

Warehousing complex data from the Web [article]

Omar Boussaid , Sabine Loudcher
2017 arXiv   pre-print
Our approach includes the integration of complex data in an ODS, under the form of XML documents; their dimensional modeling and storage in an XML data warehouse; and their analysis with combined OLAP  ...  and data mining techniques.  ...  Robert Wrembel and Prof. Jaroslav Pokorný, the editors, for inviting them to publish an article in this special issue.  ... 
arXiv:1701.00398v1 fatcat:64yhgypd4fdlrhy7gwobtljs7y

TopiCA: A Semantic Framework for Landscaping the Information Space in Federated Digital Libraries [chapter]

M. P. Papazoglou, H. Weigand, S. Milliner
1998 Data Mining and Reverse Engineering  
sound basis for semantic information discovery and retrieval.  ...  TopiCA links document-bases by concentrating on topic similarity in such a way that clusters of document combinations are formed.  ...  documents and index records in different DLs. • Creating models of information items in a DL and providing access to these models for querying.  ... 
doi:10.1007/978-0-387-35300-5_13 fatcat:i7krmjoruzf2dflzxmfirnnmti

Data mining and the Web

Minos N. Garofalakis, Rajeev Rastogi, S. Seshadri, Kyuseok Shim
1999 Proceedings of the second international workshop on Web information and data management - WIDM '99  
An agglomerative algorithm for hierarchical clustering starts with the disjoint set of clusters, which places each input data point in an individual cluster.  ...  The semistructured data model is then mapped to the relational model using a declarative query language, STORED.  ... 
doi:10.1145/319759.319781 dblp:conf/widm/GarofalakisRSS99 fatcat:zttixd2fajcsvbiibc43g563vq

Algorithms for hierarchical clustering: an overview, II

Fionn Murtagh, Pedro Contreras
2017 Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery  
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations that are available in R and other software environments.  ...  We look at hierarchical self-organizing maps, and mixture models. We review grid-based clustering, focusing on hierarchical densitybased approaches.  ...  Such an approach is used by Rapoport and Fillenbaum (1972) in a clustering of colors based on semantic attributes.  ... 
doi:10.1002/widm.1219 fatcat:4cdvfpypibe3petriqyuaiunk4

Linked open data-based framework for automatic biomedical ontology generation

Mazen Alobaidi, Khalid Mahmood Malik, Susan Sabra
2018 BMC Bioinformatics  
Fulfilling the vision of Semantic Web requires an accurate data model for organizing knowledge and sharing common understanding of the domain.  ...  To downsize the labor-intensive nature of ontology generation and minimize the need for domain experts, we present a novel automated ontology generation framework, Linked Open Data approach for Automatic  ...  Background In the era of Big Data and the immense volume of information and data available today on the web, there is an urgent need to revolutionize the way we model, organize, and refine that data.  ... 
doi:10.1186/s12859-018-2339-3 pmid:30200874 pmcid:PMC6131949 fatcat:drrkhq63zbeung3sssq2htltq4
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