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Instance-Based Matching of Large Ontologies Using Locality-Sensitive Hashing [chapter]

Songyun Duan, Achille Fokoue, Oktie Hassanzadeh, Anastasios Kementsietsidis, Kavitha Srinivas, Michael J. Ward
2012 Lecture Notes in Computer Science  
We propose the use of state-of-the art locality-sensitive hashing (LSH) techniques to vastly improve the scalability of instance matching across multiple types.  ...  In this paper, we describe a mechanism for ontology alignment using instance based matching of types (or classes).  ...  Conclusion We present an instance-based type matching approach based on locality-sensitive hashing and evaluate it on linking two large Linked Data sources on the web.  ... 
doi:10.1007/978-3-642-35176-1_4 fatcat:fgoxlmmmzreuvlowjmehgnjqqm

Locality-Sensitive Hashing for Massive String-Based Ontology Matching

Michael Cochez
2014 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)  
The author would further like to thank the Steeri Oy for supporting the Fast Stakeholder Issue Finder business case and the members of the Industrial Ontologies Group (IOG) of the university of Jyväskylä  ...  Further, it has to be mentioned that the implementation of the software was greatly simplified by the Guava library by Google and the Rabin hash library by Ian Brandt.  ...  There are still many aspect of using locality-sensitive hashing for ontology matching which should be researched.  ... 
doi:10.1109/wi-iat.2014.26 dblp:conf/webi/Cochez14 fatcat:62pktt2335bahgfebskpchhthy

Employing Ontology-Alignment and Locality-Sensitive Hashing to Improve Attribute Interoperability in Federated eID Systems

Walter Priesnitz Filho, Carlos Ribeiro, Thomas Zefferer
2016 Complex Systems Informatics and Modeling Quarterly  
To tackle these problems, we propose the use of combined ontology-alignment (OA) approaches and locality-sensitive hashing (LSH) functions.  ...  This approach does not work for identity federations, as each eID system uses its own ontology to represent its attributes.  ...  XMAP The XMAP 5 ontology matching system is a high-precision system that can perform matching on large ontologies [9] .  ... 
doi:10.7250/csimq.2016-8.07 fatcat:q6fo6mzteveolop5vndj6jc3fi

Privacy-preserving attribute aggregation in eID federations

Walter Priesnitz Filho, Carlos Ribeiro, Thomas Zefferer
2019 Future generations computer systems  
To tackle these problems, we propose the use of combined ontology alignment approaches and locality-sensitive hashing (LSH) functions.  ...  This approach does not work for identity federations, as each eID system uses its own ontology to represent attributes.  ...  We propose the use of ontology-alignment (OA) solutions and locality-sensitive hashing (LSH) functions to aggregate attributes in eID federations.  ... 
doi:10.1016/j.future.2018.09.025 fatcat:ahsshzkvmvdtjfcwjrlc5kvone

Balanced Large Scale Knowledge Matching Using LSH Forest [chapter]

Michael Cochez, Vagan Terziyan, Vadim Ermolayev
2015 Lecture Notes in Computer Science  
In this article we investigate the use of LSH Forest (a self-tuning indexing schema based on locality-sensitive hashing) for solving the problem of placing new knowledge tokens in the right contexts of  ...  We argue and show experimentally that LSH Forest possesses required properties and could be used for large distributed set-ups.  ...  The authors would further like to thank Steeri Oy for supporting the research and the members of the Industrial Ontologies Group (IOG) of the University of Jyväskylä for their support in the research.  ... 
doi:10.1007/978-3-319-27932-9_4 fatcat:z7jtzwgmpndgnowbehu24uokaa

Organization of multimedia data for conceptual search based on ontologies

Luciano Bernardes de Paula, Rodolfo da Silva Villaça, Maurício Ferreira Magalhães
2011 Journal of the Brazilian Computer Society  
The contribution of this paper is to propose how to organize multimedia data using this conceptual classification in LSH (Locality Sensitive Hashing) functions, facilitating the conceptual search in distributed  ...  Nowadays, there is a large volume of semantically annotated multimedia data available in the Semantic Web.  ...  An option is to use Locality Sensitive Hash (LSH) functions [14, 15] .  ... 
doi:10.1007/s13173-011-0042-6 fatcat:5vw3av5xingo7lv7ve24fa7lta

Large Scale Knowledge Matching with Balanced Efficiency-Effectiveness Using LSH Forest [chapter]

Michael Cochez, Vagan Terziyan, Vadim Ermolayev
2017 Lecture Notes in Computer Science  
In this article we investigate the use of LSH Forest (a self-tuning indexing schema based on locality-sensitive hashing) for solving the problem of placing new knowledge tokens in the right contexts of  ...  Section 3 presents the basic formalism of Locality Sensitive hashing (LSH) and LSH Forest and introduces the distance metrics.  ...  Further, it has to be mentioned that the implementation of the software was greatly simplified by the Guava library by Google, the Apache Commons Math TM library, and the Rabin hash library by Bill Dwyer  ... 
doi:10.1007/978-3-319-59268-8_3 fatcat:yqopbgoywjehvfvxwptcbpng5e

SemLinker: automating big data integration for casual users

Hassan Alrehamy, Coral Walker
2018 Journal of Big Data  
Availability of data and materials In a GitHub repository associated with our paper, we include all datasets used in our experiments.  ...  Instance-level matchers use statistics, metadata, or trained classifiers to decide if the values of two schema elements match. Hybrid matchers combine both mechanisms to determine match candidates.  ...  The MMF associates each data instance and its metadata with a hash key representing the data instance's unique identifier and stores the hash key with the data instance itself as a key-value pair in the  ... 
doi:10.1186/s40537-018-0123-x fatcat:orwq2j53k5hfdaufvysqbrayni

Large scale visual-based event matching

Mohamed Riadh Trad, Alexis Joly, Nozha Boujemaa
2011 Proceedings of the 1st ACM International Conference on Multimedia Retrieval - ICMR '11  
For efficiency and scalability concerns, we implemented the proposed method according to the MapReduce programming model using Multi-Probe Locality Sensitive Hashing.  ...  In this paper we introduce a new visual-based method for retrieving events in photo collections, typically in the context of User Generated Contents.  ...  ENABLING SCALABILITY To allow fast visual matching in large picture datasets, we implemented a distributed similarity search framework based on Multi-Probe Locality Sensitive Hashing [9, 7] and the MapReduce  ... 
doi:10.1145/1991996.1992049 dblp:conf/mir/TradJB11 fatcat:p2qtq7gyqzdh5h7dznu6djyrpe

Image search—from thousands to billions in 20 years

Lei Zhang, Yong Rui
2013 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
Based on the review, the concluding section discusses open research challenges and suggests future research directions in effective visual representation, image knowledge base construction, implicit user  ...  Starting with a retrospective review of three stages of image search in the history, the article highlights major breakthroughs around the year 2000 in image search features, indexing methods, and commercial  ...  with the authors on the large-scale image search and annotation problems.  ... 
doi:10.1145/2490823 fatcat:cor23f3c7nb7fimy4ixp32bdk4

Secure interoperability with O2O contracts [chapter]

Céline Coma, Nora Cuppens-Boulahia, Frédéric Cuppens
2010 Atlantis Ambient and Pervasive Intelligence  
O2O licence administrative view and an XML block based access control technique to obfuscate some of the information exchanged.  ...  to a lot of exchanges of information before and during the interoperability session, in particular those related to credentials and security policies, we propose to ensure privacy protection to use the  ...  Ontological classes are sets of instances, used to structure the ontology by the way of relations like hierarchy, intersection, union,... Properties are relationships between instances.  ... 
doi:10.2991/978-94-91216-32-9_11 fatcat:nwrif3jr2zgmln4z4d3gitv4y4

Towards a Data Semantics Management System for Internet Traffic

Bassem Mokhtar, Mohamed Eltoweissy
2014 2014 6th International Conference on New Technologies, Mobility and Security (NTMS)  
data; and (3) Locality Sensitive Hashing algorithm (LSH) for reducing data dimensionality.  ...  Although current Internet operations generate voluminous data, they remain largely oblivious of traffic data semantics.  ...  Fn) ratio f DSMS and Snort in detecting s and attacks y Sensitive Hashing, Latent for efficiently storing and ne large-scale data to learn o reason about networkking operations using real efficacy of our  ... 
doi:10.1109/ntms.2014.6814054 dblp:conf/ntms/MokhtarE14 fatcat:kel5edhy2jhtpcjmosbxder7li

Community-based cloud for emergency management

Juan Li, Qingrui Li, Samee Ullah Khan, Nasir Ghani
2011 2011 6th International Conference on System of Systems Engineering  
In response to the growing number of recent disasters, such as the Indonesian volcanic eruption, Gulf of Mexico oil spill, Haitian earthquake, Pakistani floods, and in particular, the Red River crest that  ...  This infrastructure will coordinate various organizations and integrate massive amounts of heterogeneous data sources to effectively deploy personnel and logistics to aid in search and rescue.  ...  We compare our ontology-based search with semantics-free exact-match-based search. For the exactmatch-based search, a query only matches a keyword without caring about the keyword's specific meaning.  ... 
doi:10.1109/sysose.2011.5966573 dblp:conf/sysose/LiLKG11 fatcat:gfa3t3ku6zgdfjgsuvvfh3km2i

Hybrid intelligent framework for automated medical learning

Asma Belhadi, Youcef Djenouri, Vicente Garcia Diaz, Essam H. Houssein, Jerry Chun‐Wei Lin
2021 Expert systems  
K E Y W O R D S automated medical learning, distributed learning, multi-agent systems, ontology matching  ...  The distributed deep learning is used for efficient learning of the different agents in the system, where the knowledge graph is used for dealing with heterogeneous medical data.  ...  In order to accurately merge the local decisions of the agents in A, intelligent communication may be investigated using the ontology matching.  ... 
doi:10.1111/exsy.12737 fatcat:alshb2hrejak3nhpcqgtbxyphq

P2P case storage and retrieval with an unspecified ontology

Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
2007 Artificial Intelligence Review  
Traditional approaches for similarity-based retrieval of structured data, such as Case-Based Reasoning (CBR), have been largely implemented using centralized storage systems.  ...  the notion of Unspecified Ontology to improve the performance of the case retrieval stage and build CBR systems that can scale up to large case-bases.  ...  This approach is based on an indexing scheme, called Locality-Sensitive Hashing (LSH) (Bawa et al. 2005) .  ... 
doi:10.1007/s10462-009-9100-2 fatcat:skd7zdoy4bhe7dfrikiq7lmab4
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