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Smart Services as Cultural and Historical Heritage Information Assistance for Museum Visitors and Personnel

Dmitry Korzun, Svetlana Yalovitsyna, Valentina Volokhova
2018 Baltic Journal of Modern Computing  
The basic information representation model is a semantic network, which reduces data mining to ranking in a linked structure.  ...  This network is subject to data mining needed for selection of appropriate information as a result provided by services.  ...  Data mining in a semantic network is reduced to the ranking problem, which in turn is used for constructing the services.  ... 
doi:10.22364/bjmc.2018.6.4.07 fatcat:siecowy7tbb3njbdfpkhegtbeu

A literature review on the state-of-the-art in patent analysis

Assad Abbas, Limin Zhang, Samee U. Khan
2014 World Patent Information  
Khan's research interests include optimization, robustness, and security of: cloud, grid, cluster and big data computing, social networks, wired and wireless networks, power systems, smart grids, and optical  ...  networks.  ...  A semantic network was built by increasing the number of groups and selected a semantic network with five groups.  ... 
doi:10.1016/j.wpi.2013.12.006 fatcat:prs6spbuhfd6lheiocbw5jz3di

Semantic web for integrated network analysis in biomedicine

H. Chen, L. Ding, Z. Wu, T. Yu, L. Dhanapalan, J. Y. Chen
2009 Briefings in Bioinformatics  
We introduce a new conceptual framework, semantic graph mining, to enable researchers to integrate graph mining with ontology reasoning in network data analysis.  ...  The Semantic Web technology enables integration of heterogeneous data on the World Wide Web by making the semantics of data explicit through formal ontologies.  ...  SUMMARY We surveyed recent biological network analysis and data mining studies based upon the Semantic Web technologies.  ... 
doi:10.1093/bib/bbp002 pmid:19304873 fatcat:4q6skldwufbtxfdymxl6uraleq

Text Assisted Insight Ranking Using Context-Aware Memory Network [article]

Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang
2018 arXiv   pre-print
In this paper, we propose an insight ranking model that consists of two parts: A neural ranking model explores the data characteristics, such as the header semantics and the data statistical features,  ...  data for the insight ranking problem.  ...  (BI), Data Mining, Table- to-Text Generation, etc.  ... 
arXiv:1811.05563v1 fatcat:iiplk7ooqfffrcokyu22jpjyzi

Text Assisted Insight Ranking Using Context-Aware Memory Network

Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang
In this paper, we propose an insight ranking model that consists of two parts: A neural ranking model explores the data characteristics, such as the header semantics and the data statistical features,  ...  data for the insight ranking problem.  ...  (BI), Data Mining, Table-to-Text Generation, etc.  ... 
doi:10.1609/aaai.v33i01.3301427 fatcat:e3rmkxvbxvepzmtvlkz2cbshwy

Introduction to the topical issue on semantic social networks and media applications

Ioannis Anagnostopoulos, Manolis Wallace, Sherali Zeadally
2017 Social Network Analysis and Mining  
The authors propose the use of social opinion mining to complement conventional ranking approaches.  ...  Today, the exponential growth of social networking data, combined with developments in the area of semantic technologies, is giving rise to numerous new interesting research topics.  ... 
doi:10.1007/s13278-017-0471-0 fatcat:xm7aqg4srzallpx3zdhm64bdpq

Protein Function Prediction Using Semantic Driven K-Medoids Clustering Algorithm

Ilinka Ivanoska, Kire Trivodaliev, Slobodan Kalajdziski
2014 International Journal of Machine Learning and Computing  
In this paper we present a "semantic driven" clustering approach for protein function prediction by using both semantic similarity metrics and the whole network topology of a PIN.  ...  Many studies have shown that identification of protein complexes or functional modules can be effectively done by clustering protein interaction network (PIN).  ...  As an assistant he was involved in maintaining teaching subjects in structures and databases, data mining, artificial intelligence, data analysis algorithms, logic and functional programming and bio-cybernetics  ... 
doi:10.7763/ijmlc.2014.v4.385 fatcat:jyssgnetzzfxtoilx6xczmrnrq

Query-driven discovery of semantically similar substructures in heterogeneous networks

Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han
2012 Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12  
Since data mining methods are used to obtain semantically similar entities (nodes), we use discovery as a term to describe this process.  ...  Although researchers have studied various data mining tasks in information networks, interactive query-based network exploration techniques have not been addressed systematically, which, in fact, are highly  ...  Our system, with off-line data mining results as indices, utilizes semi-structure information encoded in information networks and answers semantic similarity based substructure queries efficiently.  ... 
doi:10.1145/2339530.2339765 dblp:conf/kdd/YuSZH12 fatcat:cpsoabv3fbh4pm62uupn3xyoqq

Semantic data mining: A survey of ontology-based approaches

Dejing Dou, Hao Wang, Haishan Liu
2015 Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)  
Semantic Data Mining refers to the data mining tasks that systematically incorporate domain knowledge, especially formal semantics, into the process.  ...  We investigate why ontology has the potential to help semantic data mining and how formal semantics in ontologies can be incorporated into the data mining process.  ...  Semantics rich data mining results Ontology can also assist in enriching data mining results with formal semantics.  ... 
doi:10.1109/icosc.2015.7050814 dblp:conf/semco/DouWL15 fatcat:uck4bd3gpnf5bgb4jike6xm5ne

A New Statistical and Verbal-Semantic Approach to Pattern Extraction in Text Mining Applications

Dildre Georgiana Vasques, Paulo Sérgio Martins, Solange Oliveira Rezende
2019 CLEI Electronic Journal  
To assist in this process, this approach can count on thehelp of Text Mining techniques.  ...  verbal semantics.  ...  learned were comparable or better than the rules obtained by other semantic data mining algorithms.  ... 
doi:10.19153/cleiej.22.3.5 fatcat:qbivqzou4ras7mpad7vncoyqle

Review of Different Approaches for E-Commerce Website Ranking

Neha I. Palwekar
2018 International Journal for Research in Applied Science and Engineering Technology  
With the assistance of data mining and its integration with Ecommerce technology, organizations are increasing their revenues day by day and they are able to attract new customers.  ...  Keeping in mind the thought of blending of data mining and E-commerce a tool, "E-Commerce Website Priority Determination Tool" that can extract keywords, links, and HTML tags of various websites with comparable  ...  Advance adaptive E-Commerce search is a personalized search for retrieval and ranking of relevant E-commerce websites by using intelligent technologies like semantic web, neural networks.  ... 
doi:10.22214/ijraset.2018.7028 fatcat:6sdbqhbm5zdmbhezocuuxv4we4

Probabilistic Topic Models for Learning Terminological Ontologies

Wei Wang, Payam Mamaani Barnaghi, Andrzej Bargiela
2010 IEEE Transactions on Knowledge and Data Engineering  
Research on the above mentioned topics has also been tightly bound with some other fields such as Artificial Intelligence, Databases, Social Networks, Distributed Computing, Web Engineering, Data Mining  ...  During my graduate work, I have also developed research interests in some of the other related areas such as Machine Learning, Data Mining, Social Network Analysis, Natural Language Processing and Information  ... 
doi:10.1109/tkde.2009.122 fatcat:ckvvtgj5ybg7ngwk3y7x5ysjta

High-End Analytics and Data Mining for Sustainable Competitive Advantage [chapter]

Alok N. Choudhary, Ramanathan Narayanan, Kunpeng Zhang
2010 Communications in Computer and Information Science  
mining, Statistics for Bioinformatics, Ad- vanced Algorithms, Computational Complexity, Engineering Entreprenuership Independent Study Courses: Semantic Web, Data Mining in Social Networks Undergraduate  ...  appearing for the All India IIT-Joint Entrance Examination , 2001 Ranked among the top 10 teams in the KDD Cup 2008 Data mining competition.  ... 
doi:10.1007/978-3-642-12035-0_2 fatcat:qv2ksmt2brfpze3vzgxzm74o6y

PubChem BioAssays as a data source for predictive models

Bin Chen, David J. Wild
2010 Journal of Molecular Graphics and Modelling  
Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data. BMC Bioinformatics. In Press. Mentors: Dr. Rishi Gupta, Dr.  ...  Chem2Bio2RDF Dashboard: Ranking Semantic Associations in Systems Chemical Biology Space. Future of the Web in Collaboratice Science (FWCS), WWW2010, Apr 26-30, 2010, Raleigh NC.  ... 
doi:10.1016/j.jmgm.2009.10.001 pmid:19897391 fatcat:tmsc4ausnrfafis5wq3pgcibki

ICDE 2006 Ph.D. workshop report

Wai Gen Yee, Shamkant B. Navathe
2006 SIGMOD record  
Workshop held in conjunction with the 2006 IEEE International Conference on Data Engineering. This report includes a summary of the technical presentations as well as the panelist discussion.  ...  The second talk of the Data Mining and Semantics session was entitled Searching and Ranking Documents Based on Semantic Relationships by Boarnerges Aleman-Meza.  ...  The third talk of the Data Mining and Semantics session was entitled Using Data Extraction Ontology to Foster Automating Semantic Annotation by Yihong Ding and David W. Embley.  ... 
doi:10.1145/1228268.1228281 fatcat:b5zn4kfmybegrdvcwdc3mkyod4
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