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Improving data quality in the linked open data: a survey

A Hadhiatma
2018 Journal of Physics, Conference Series  
The Linked Open Data (LOD) is "web of data", a different paradigm from "web of document" commonly used today.  ...  and (3) correction of data quality problems.  ...  Several authors used logical reasoning model to predict missing data.  ... 
doi:10.1088/1742-6596/978/1/012026 fatcat:if2r4cdvtzgv5hcvfer2n6t7sy

Multi-Agent System for Knowledge-Based Access to Distributed Databases

Priti Srinivas Sajja
2008 Interdisciplinary Journal of Information, Knowledge, and Management  
A framework for knowledge discovery, knowledge use, and knowledge management is presented in this article to provide knowledge-based access of the domain databases using multi-agent systems approach.  ...  This framework encompasses five different agents: namely, knowledge management agent, data filter agent, rule induction agent, dynamic analysis agent, and interface agent.  ...  Such a database agent can also keep track of the drivers used by each database and manage the details like data formats, access details, and storage mechanisms.  ... 
doi:10.28945/86 fatcat:4in6c2nxczftnix45py5anaauu

A Land Use Planning Ontology: LBCS

Nuno Montenegro, Jorge C. Gomes, Paulo Urbano, José P. Duarte
2012 Future Internet  
There are several advantages to transferring a land use standard to an OWL2 land use ontology: it is modular, it can be shared and reused, it can be extended and data consistency maintained, and it is  ...  The goal is to provide semantic and computer-readable land use descriptions of geo-referenced spatial data.  ...  Acknowledgments This research originates from the "City Induction" project supported by the Fundação para a  ... 
doi:10.3390/fi4010065 fatcat:sw5bgopkyjezriobibk3rhnzvi

A Novel Analysis and Prediction of Students' Behaviour Using Semantic Similarity-Based Improved J48 IL Algorithm in Personalized Library Ontology

Fernandez Fernandez, Ramalingam Ponnusamy
2018 International Journal of Intelligent Engineering and Systems  
For data classification, we propose semantic similarity-based Improved J48 induction learning algorithm which facilitates the system to identify patterns and regularities for the extracted ontology data  ...  The personalized library Ontology and user's feedback is developed using Protégé editor 4.3.  ...  Literature review Ontology data mining finds out pertinent and useful information from the database and this mining used for organization and prediction of data in the database.  ... 
doi:10.22266/ijies2018.1031.16 fatcat:xfk7ozzthrf4bboxkuv7d2oz6a

A framework for chronic kidney disease diagnosis based on case based reasoning

Seham Abd Elkader, Mohammed Elmogy, Shaker El-Sappagh, Abde Nasser H. Zaied
2018 International Journal of Advanced Computer Research  
Conflicts of interest The authors have no conflicts of interest to declare.  ...  Thus the quality of stored data is not enhanced by EHR technology [15, 16] .  ...  The reason is that EHR data are inconsistent, incomplete, and noisy. Therefore, lowquality EHR data needs to be prepared for producing high-quality case base knowledge [10] [11] [12] .  ... 
doi:10.19101/ijacr.2018.834003 fatcat:tw5z54ak45bujnrunqmsqqo5oy

Enhancing Location-Based Social Media Network Services with Semantic Technologies: A Review

Olayinka Adeleye, Opeyemi Ajibola, Precious Odiase
2017 FUOYE Journal of Engineering and Technology  
networks and theenormous amount of geographical and social data flow across mobile and web platforms, have not only provided rich data source for web applications but also help developers to facilitate  ...  However, unprecedented amount of noise and unstructured data exist on these networks, making knowledge representation, point of interest recommendation and precision of search engine results cumbersome  ...  inductive stream reasoning and deductive stream reasoning.  ... 
doi:10.46792/fuoyejet.v2i1.50 fatcat:3w7rfefp3ndrvnfbnxsrnb37pi

How to Semantically Enhance a Data Mining Process? [chapter]

Laurent Brisson, Martine Collard
2009 Lecture Notes in Business Information Processing  
In this paper, we focus first on the pre-processing steps of business understanding and data understanding in order to build an ontology driven information system (ODIS).  ...  Then we show how the knowledge base is used for the post-processing step of model interpretation.  ...  Inductive databases (IDB) [23] provide models for pattern storage and inductive query languages.  ... 
doi:10.1007/978-3-642-00670-8_8 fatcat:7vinrnq2l5gk7f2htne27gryia

Geo-Ontology and Geographical Information System Extended by a first-order logic language: Application to malaria control

Guillaume Koum
2012 International Journal on Bioinformatics & Biosciences  
They can also be used in the construction of the knowledge base of a reasoning tool.  ...  In this paper an environment is defined where a geo-ontology offers possibilities with a system that allows users to represent and reason about some aspects of the real world.  ...  Therefore, geo-ontology is used to describe the characteristic of data and resource and data acquiring mode, and thus to provide a uniform expression for data integration and sharing.  ... 
doi:10.5121/ijbb.2012.2301 fatcat:avxbbeaabfam7mudhnxquko4ui

OntoLoki: an automatic, instance-based method for the evaluation of biological ontologies on the Semantic Web [article]

Benjamin M. Good, Gavin Ha, Chi K. Ho, Mark D. Wilkinson
2015 arXiv   pre-print
We evaluated this program using both artificial knowledge bases of known quality and real, widely used ontologies.  ...  The results indicate that the suggested method can be used to conduct objective, automatic, data-driven evaluations of biological ontologies without formal class definitions in regards to the property-based  ...  The actual quality of the knowledge base as indicated by any induction algorithm is thus better determined by the difference between its quality and that generated using ZeroR.  ... 
arXiv:1502.06025v1 fatcat:26vfvt6vrzcqhdzhih2cwd5tiy

Automated Customer Query Resolver using Data Mining

Ashwini Jadhav, Parth Wadekar, Bhakti Wani, Nikita Joshi, Parth Sagar
2018 International Journal of Computer Applications  
In this paper, we propose a system which reduces human interaction and provides automation for resolving queries. For this purpose we use the concept of enterprise mobility.  ...  There are some existing technologies which are used by modern enterprise centres.  ...  DATA MINING Data Mining is the figuring procedure of finding designs in extensive information sets including techniques at the crossing point of machine learning, insights, and database frameworks.  ... 
doi:10.5120/ijca2018916173 fatcat:kpjcjetdxze4rkwi6dcutkrum4

Semantic Traffic Sensor Data: The TRAFAIR Experience

Federico Desimoni, Sergio Ilarri, Laura Po, Federica Rollo, Raquel Trillo-Lado
2020 Applied Sciences  
The project develops a platform to providereal-time and predicted values on air quality in several cities in Europe, encompassing tasks suchas the deployment of low-cost air quality sensors, data collection  ...  and integration, modeling andprediction, the publication of open data, and the development of applications for end-users andpublic administrations.  ...  For this reason, initially, some exemplar tuples from the corresponding tables of the TRAFAIR database have been imported by configuring the connection to the database and using the appropriate query.  ... 
doi:10.3390/app10175882 fatcat:stx3gjt4knbade2rfmiikic5ae

A distributed, semiotic-inductive, and human-oriented approach to web-scale knowledge retrieval

Edy Portmann, Michael Alexander Kaufmann, Cédric Graf
2012 Proceedings of the 2012 international workshop on Web-scale knowledge representation, retrieval and reasoning - Web-KR '12  
., sub-syntactical) and inductive (i.e., probabilistic) methods for inferring concept associations in human knowledge.  ...  Thus, we propose to provide interactive visualizations of these cognitive concept maps to end users, who can browse and search the Web in a human-oriented, visual, and associative interface.  ...  The Swiss NSF supported preparation of this paper under grant number PBFRP2-138628. 6.  ... 
doi:10.1145/2389656.2389658 dblp:conf/cikm/PortmannKG12 fatcat:hr3swxwovvavjl57pdi62fw4vq

On the design of a self-medication web application built on linked open data

Olivier Curé
2014 Journal of Web Semantics  
A main characteristic of this application is that almost all the data processed by the system and presented to the end-user comes from a subset of the LOD data sets, namely DrugBank, DailyMed, Sider and  ...  The system's most critical operations are processed using a self-medication knowledge base, expressed in OWL, which has been inductively built on medical information obtained from a similar French project  ...  ., the design of a self-medication knowledge base and its use in enhancing data quality, [5] form more details.  ... 
doi:10.1016/j.websem.2013.12.001 fatcat:4icuwmnfkrdrjgo75a2o3c3wme

Agents and Data Mining: Mutual Enhancement by Integration [chapter]

Chengqi Zhang, Zili Zhang, Longbing Cao
2005 Lecture Notes in Computer Science  
This paper tells a story of synergism of two cutting edge technologies -agents and data mining. By integrating these two technologies, the power for each of them is enhanced.  ...  A new way to integrate these two techniques -ontology-based integration is also discussed. Case studies will be given to demonstrate such mutual enhancement.  ...  Acknowledgement This paper is partially supported by the Ministry of Education of China Key Project 104160 and Deakin University CRGS grant.  ... 
doi:10.1007/11492870_5 fatcat:k2u6msyr5jaznowywfobfu5xfm

Ontology alignment in geographical hard-soft information fusion systems

E P Blasch, E Dorion, P Valin, E Bosse, J Roy
2010 2010 13th International Conference on Information Fusion  
In this paper, we explore issues of fusing hard and soft data as related to ontology alignment.  ...  Information fusion exists over many forms of hard data (e.g. from physical sensors) and soft data (e.g. from human reports) to interpret observations of realworld objects.  ...  Geo-pragmatics [60] enhances ontologies by establishing context for users to reason over the data.  ... 
doi:10.1109/icif.2010.5712081 fatcat:3tzzlc5rhrbtdga73zyr2jh65u
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