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Discovery of emerging design patterns in ontologies using tree mining

Agnieszka Ławrynowicz, Jedrzej Potoniec, Michał Robaczyk, Tania Tudorache, Rinke Hoekstra
2018 Semantic Web Journal  
To the best of our knowledge, this is the first method for automatic discovery of emerging design patterns in ontologies.  ...  We describe our tree-mining method for identifying the emerging design patterns.  ...  This work is also supported in part by grants GM086587 and GM103316 from the US National Institutes of Health.  ... 
doi:10.3233/sw-170280 pmid:30505251 pmcid:PMC6261490 fatcat:fayk77sxmbdobbiere7i42ke34

Editorial for the special issue of knowledge discovery and management in engineering design and manufacturing

Ying Liu, Jenny Harding
2008 Journal of Intelligent Manufacturing  
Knowledge discovery and management using various advanced techniques, e.g. data\text\web\multimedia mining, computational neuroscience, ontology, and corporate search engine, in engineering design and  ...  This Special Issue is therefore dedicated to innovative, state-of-the-art research, technology development and applications of knowledge discovery and management in the broad context of design and manufacturing  ...  "A Product Design Ontology for Enhancing Shape Processing in Design Workflows" by Catalano, Camossi, Ferrandes, Cheutet and Sevilmis, describes their efforts in building and using a product design ontology  ... 
doi:10.1007/s10845-008-0209-y fatcat:q6elkxqu2rfgdeupwj3qn4jole

Mining Substructures in Protein Data

Fedja Hadzic, Tharam S. Dillon, Amandeep S. Sidhu, Elizabeth Chang, Henry Tan
2006 Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)  
This has given rise to the development of many tree mining algorithms which can aid in structural comparisons, association rule discovery and in general mining of tree structured knowledge representations  ...  Mining frequent substructures from tree databases is an important task and it has gained a considerable amount of interest in areas such as XML mining, Bioinformatics, Web mining etc.  ...  Many powerful tree mining algorithms have been developed to aid in structural comparisons, association rule discovery and in general, for mining of tree structured knowledge representations.  ... 
doi:10.1109/icdmw.2006.114 dblp:conf/icdm/HadzicDSCT06 fatcat:7ebzkdbbnvg2pd7uiqhxhbbqai

Mining Patterns with Domain Knowledge: A Case Study on Multi-language Data

C. Antunes, T. Bebiano
2012 2012 IEEE/ACIS 11th International Conference on Computer and Information Science  
This paper proposes a new method for mining patterns over multi-language data, through the use of the D 2 FP-Growth algorithm and a language constraint, both defined in the context of the referred framework  ...  Multi-language data impairs the application of mining techniques in a generalized form, since language remains an impenetrable barrier.  ...  In particular, the D 2 PM (Domain Driven Pattern Mining) framework [1] introduces domain knowledge into the mining process through an ontology and makes use of constraints to focus the discovery according  ... 
doi:10.1109/icis.2012.70 dblp:conf/ACISicis/AntunesB12 fatcat:yhnmalwdp5hmbb4neikxtvhd5i

Data Mining, a Tool for Systems Biology or a Systems Biology Tool

Nicolas Turenne
2009 Journal of computer science and systems biology  
Furthermore, ontological resources are not designed to support text mining solutions, in the sense that ontological terms fit the demands of a natural language processing system.  ...  The growth is noticeable after 2002, in particular, where the words "systems biology", "networks" and "gene ontology" emerge in the top ten most-used keywords.  ... 
doi:10.4172/jcsb.1000034e fatcat:it7fvvc5zjbsvaz5io7dp2fy74

Ontology-Based Meta-Mining of Knowledge Discovery Workflows [chapter]

Melanie Hilario, Phong Nguyen, Huyen Do, Adam Woznica, Alexandros Kalousis
2011 Studies in Computational Intelligence  
Section 3 gives a detailed description of dmop, while Section 4 introduces a novel method for ontology-based discovery of generalized patterns from data mining workflows.  ...  of data miners embodied in the data mining ontology and knowledge base.  ...  The advent of ontology languages and tools for the Semantic Web gave rise to a new generation of data mining ontologies, the majority of which are aimed at the construction of workflows for knowledge discovery  ... 
doi:10.1007/978-3-642-20980-2_9 fatcat:lhhpaisl5jhwjkqc5xdtpwskci

Word Sense Disambiguation for Ontology Learning

Hayden Wimmer, Lina Zhou
2013 Americas Conference on Information Systems  
Motivated by the large volume and richness of user-generated content in social media, this research explores the role of social media in ontology learning.  ...  The research is in progress toward conducting a formal evaluation of the social media based method for WSD, and plans to incorporate the WSD routine into an ontology learning system in the future.  ...  Data mining approaches are also utilized in relationship discovery.  ... 
dblp:conf/amcis/WimmerZ13 fatcat:nrcti3262ndd7hxp4qi2k76kyi

Automatic Extraction of Structurally Coherent Mini-Taxonomies [chapter]

Khalid Saleem, Zohra Bellahsene
2008 Lecture Notes in Computer Science  
In this paper we demonstrate an automatic approach for emergent semantics modeling of ontologies.  ...  We consider large sets of domain specific schemas as trees and apply frequent sub-tree mining for extracting common hierarchical patterns.  ...  To further benefit from tree mining, we are going to use the automatically extracted mini-taxonomies for the discovery of n:m complex mappings in context of research described in [8] .  ... 
doi:10.1007/978-3-540-87877-3_25 fatcat:mowyc77zizh6nmpkyvkq3xnbae

Semantics and knowledge grids: building the next-generation grid

M. Cannataro, D. Talia
2004 IEEE Intelligent Systems  
We attempt to forecast the evolution of computational grids into what we call the next-generation grid, with a particular focus on the use of semantics and knowledge discovery techniques and services.  ...  Although we can imagine larger and more powerful databases and data warehouses in which to store data, humans or programs will access only a small portion of it.  ...  We thank those working in the knowledge grid research team: Carmela Comito, Antonio Congiusta, Carlo Mastroianni, Andrea Pugliese, Paolo Trunfio, and Pierangelo Veltri.  ... 
doi:10.1109/mis.2004.1265886 fatcat:m27hc2bn4bagrgbjcepiqiv3dm

MS-Analyzer: preprocessing and data mining services for proteomics applications on the Grid

Mario Cannataro, Pierangelo Veltri
2007 Concurrency and Computation  
In Section 4 we describe the architecture and functions of the proposed MS-Analyzer system. In Section 5 we present the Ontology-based Service Discovery system used in MS-Analyzer.  ...  and an ontology-based workflow designer.  ...  Finally, distributed data mining environments, such as the Discovery Net [15] or the emerging Knowledge Grids [6, 16] , although providing support for the entire knowledge discovery process, do not  ... 
doi:10.1002/cpe.1144 fatcat:2rvc3tuwpbcglexcirkoq7leva

Guest Editors' Introduction: Special Issue on Mining Biological Data

Wei Wang, Jiong Yang
2005 IEEE Transactions on Knowledge and Data Engineering  
Mining frequent trees is very useful in bioinformatics applications. The first paper, "Efficiently Mining Frequent Trees in a Forest: Algorithms and Applications" by Mohammed J.  ...  M INING biological data is an emerging area of intersection between data mining and bioinformatics.  ... 
doi:10.1109/tkde.2005.128 fatcat:o3vmjyzy3ncplknsce52diieo4

Towards a semantic framework for an integrative description of neuroscience patterns and studies: a case for emotion-related data

Charalampos Bratsas, Christos A Frantzidis, Manousos Klados, Christos Papadelis, Costas Pappas, Panagiotis D Bamidis
2009 Studies in Health Technology and Informatics  
systems used, as well as, the emerging neuro-physiological patterns found, may facilitate an integrative view of neuroscience theories.  ...  To this end, the current piece of work aims to provide a global theoretical framework using ontologies and semantic rules to describe neuroscience studies.  ...  To this end, ontologies may offer an attractive solution for the semantic description of neuroscience patterns and studies, and, therefore, some efforts have slowly but surely emerged in literature.  ... 
pmid:19745322 fatcat:bby4z3migzamxngxpo34jmuxp4

Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning

Monika Zakova, Petr Kremen, Filip Zelezny, Nada Lavrac
2011 IEEE Transactions on Automation Science and Engineering  
The second directly queries the ontology using a reasoner. The proposed approach was tested in two use cases, one from scientific discovery in genomics and another from advanced engineering.  ...  Our methodology consists of two main ingredients. The first one is defining a formal conceptualization of knowledge types and data mining algorithms by means of knowledge discovery ontology.  ...  We built upon the definitions of core knowledge discovery concepts presented in [5] in designing the core parts of the ontology, namely the concepts of knowledge, representation language, pattern, dataset  ... 
doi:10.1109/tase.2010.2070838 fatcat:rxfbnxy4d5aurgknuslsjj32ja

Data Warehousing and Knowledge Discovery: A Chronological View of Research Challenges [chapter]

Tho Manh Nguyen, A Min Tjoa, Juan Trujillo
2005 Lecture Notes in Computer Science  
Pattern discovery and event sequence mining has emerged as a new field of interest while data semantics became an increasingly important issue.  ...  The most commonly used techniques in data mining and knowledge discovery in the late 1980s and early 1990s are artificial neural networks, decision trees, genetic algorithms, nearest neighbourhood, and  ... 
doi:10.1007/11546849_52 fatcat:sdcervokrzasvanqlcnbp4jsp4

Frequent Pattern Mining and Current State of the Art

Kalli Srinivasa Nageswara Prasad, S. Ramakrishna
2011 International Journal of Computer Applications  
Identifying the association rules in large databases play a key role in data mining.  ...  General Terms Data Mining, Market Basket Analysis, Itemset.  ...  of pattern discovery in sensitive datasets has been addressed.  ... 
doi:10.5120/3114-4279 fatcat:nza37yy2prft3jrueownimthw4
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