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Customer Perception Driven Product Evolution - Facilitation of Structured Feedback Collection

Oleksiy Khriyenko
2016 Proceedings of the 12th International Conference on Web Information Systems and Technologies  
Since, mining of free text feedbacks (which is still the most representing form of the real voice of the customer) is challenging, this work presents an approach towards customer-supported transformation  ...  FUTURE WORK Elaboration of supporting tool for customer-driven extension of the ontology could be considered as a logical extension of current solution.  ...  </p> Initial Digital Content Enriched Digital Content Customer Perception Driven Product Evolution -Facilitation of Structured Feedback Collection RDF based descriptions of the products, as well as  ... 
doi:10.5220/0005793901960203 dblp:conf/webist/Khriyenko16 fatcat:eanlukxa7rajbcaazv2ohch4ne

Semantic Web Tools and Decision-Making [chapter]

Francisco Antunes, Manuela Freire, João Paulo Costa
2014 Lecture Notes in Business Information Processing  
Web Ontology Language (OWL) and RDF are much of the same things, but OWL is a stronger language with greater machine interpretability than RDF.  ...  The second step towards Semantic Web-based decision-making seems to be ontology mapping, as the amount of public available ontologies increases steadily and as the Semantic Web grows (even some argue its  ... 
doi:10.1007/978-3-319-07179-4_31 fatcat:fkgidorpdnedvp6ztslcqvyhf4

Cone-KG: A Semantic Knowledge Graph with News Content and Social Context for Studying Covid-19 News Articles on Social Media

Feras Al-Obeidat, Oluwasegun Adedugbe, Anoud Bani Hani, Elhadj Benkhelifa, Munir Majdalawieh
2020 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)  
knowledge discovery, knowledge acquisition and advanced data analytics for understanding varying metrics relating to the virus towards curbing its spread.  ...  The semantic knowledge graph provides a platform for researchers, data analysts and data scientists across societal sectors to investigate and recommend strategies towards addressing the challenges it  ...  Knowledge layer presents data as things, represented within a semantic (ontology-driven) graph database, such as Neo4j, GraphDB, Virtuoso and AWS Neptune while a wisdom layer provides inferencing and reasoning  ... 
doi:10.1109/snams52053.2020.9336541 fatcat:kpqbkibyxnfirj64sumii7j4em

Towards exergaming commons: composing the exergame ontology for publishing open game data

Giorgos Bamparopoulos, Evdokimos Konstantinidis, Charalampos Bratsas, Panagiotis D. Bamidis
2016 Journal of Biomedical Semantics  
Methods: We have developed an ontology that describes exergames using the Web Ontology Language (OWL); it is available at http://purl.org/net/exergame/ns#.  ...  After an investigation of key components of exergames, relevant ontologies were incorporated, while necessary classes and properties were defined to model these components.  ...  Methods Ontology editing tools and resources The ontology was implemented using standard semantic web technologies namely the Resource Description Framework (RDF), RDF Schema (RDFS) and Web Ontology  ... 
doi:10.1186/s13326-016-0046-4 pmid:26865947 pmcid:PMC4748514 fatcat:2rrh3enp4fa6tlyhvipbjcbi5e

Towards Semantic Big Graph Analytics for Cross-Domain Knowledge Discovery [article]

Feichen Shen
2019 arXiv   pre-print
In this research, we present a big graph analytics framework aims at addressing this issue by providing semantic methods to facilitate the management of big graph data from close domains in order to discover  ...  In this drive, the large amounts of data have been specified and shared via machine-readable formats, such as a Resource Description Framework (RDF) [1] and Ontology Web Language (OWL) [2] .  ...  In Similarity-Driven Semantic Role Induction via Graph Partitioning [28] , authors proposed a vertex centric unsupervised method for semantic role induction.  ... 
arXiv:1902.07688v1 fatcat:ewzffpt56ve6bldzcunibnikyy

Towards a meaningful manufacturing enterprise metamodel: A semantic driven framework

E I Neaga, J A Harding, H-K Lin
2007 Proceedings of the Institution of mechanical engineers. Part B, journal of engineering manufacture  
RDF Schema introduce a more relevant and expressive representation formalism and basic ontological primitives for web resources. RDF(S) is the combination of RDF and RDF Schema.  ...  RDF (resource description framework) is a foundation for processing metadata towards the standardization and use of its descriptions of web-based resources.  ... 
doi:10.1243/09544054jem503 fatcat:woq4kc6j4jbfxe77pk3ke6vjw4

Ontology-Driven Knowledge-Based Health-Care System, An Emerging Area – Challenges And Opportunities – Indian Scenario

A. Sunitha, G. Suresh Babu
2014 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Ontology driven systems results in the effective implementation of healthcare strategies for the policy makers.  ...  Recent studies in the decision making efforts in the area of public healthcare systems have been tremendously inspired and influenced by the entry of ontology.  ...  The current research work focuses on the development of an ontology driven semantic knowledge-base for public healthcare system.  ... 
doi:10.5194/isprsarchives-xl-8-239-2014 fatcat:s4df4wgepjc3zdnta3v54ydhym

The application of web of data technologies in building materials information modelling for construction waste analytics

Muhammad Bilal, Lukumon O. Oyedele, Kamran Munir, Saheed O. Ajayi, Olugbenga O. Akinade, Hakeem A. Owolabi, Hafiz A. Alaka
2017 Sustainable Materials and Technologies  
This ontology-driven representation enables the syntactic homogeneity in 7 representing highly accurate and complex data of building materials through the RDF/OWL 8 constructs.  ...  This database is further enhanced for querying and data integration ontology-driven knowledge sharing framework for engineering materials selection.  ... 
doi:10.1016/j.susmat.2016.12.004 fatcat:taniykssnfflleocw7e7c6sqau

Towards the 5th Industrial Revolution: A literature review and a framework for Process Optimization Based on Big Data Analytics and Semantics

Dimitris Mourtzis
2021 Journal of Machine Engineering  
Although there are several technologies and techniques under the term Data Analytics for gathering such data, their interpretation to information, and ultimately to knowledge remains in its infancy.  ...  This paper aims to investigate the opportunities and the gaps as well as the challenges arising in the current industrial landscape, towards the efficient utilization of Big Data, for process optimization  ...  The Ontology Web Language, which extends RDF and RDFS by adding a vocabulary, is used to define ontologies on the Web.  ... 
doi:10.36897/jme/141834 fatcat:tsp4zeziebg5hcxwguwx6dgsgi

Scenario driven data modelling: a method for integrating diverse sources of data and data streams

Shelton D Griffith, Daniel J Quest, Thomas S Brettin, Robert W Cottingham
2011 BMC Bioinformatics  
The SDDM process constructed a scenario, created a RDF multi-relational directed graph that linked diverse types of data to the Semantic Web, implemented RDF conversion tools (RDFizers) to bring content  ...  Biology is rapidly becoming a data intensive, data-driven science.  ...  The Gene Ontology Consortium Bio2RDF http://bio2rdf.org/ Converts biological info into RDF Bio2RDF: Towards a mashup to build bioinformatics knowledge systems Scenario www.BioSITES.org/ scenario  ... 
doi:10.1186/1471-2105-12-s10-s17 pmid:22165854 pmcid:PMC3236839 fatcat:a675qiqszbbtvi6dkqwraui3oi

Integrating Big Data: A Semantic Extract-Transform-Load Framework

Srividya K. Bansal, Sebastian Kagemann
2015 Computer  
This generated semantic data is made available on the web as linked data available for querying, analytics, or used in data-driven innovative apps.  ...  • Web Ontology Language (OWL) is a markup language that is used for publishing and sharing ontologies. OWL is built upon RDF and an ontology created in OWL is actually a RDF graph.  ... 
doi:10.1109/mc.2015.76 fatcat:qmwmjxtdrza7ncgbun6g65s5fa

ERMIS: Extracting Knowledge from Unstructured Big Data for Supporting Business Decision Making [chapter]

Christos Alexakos, Konstantinos Arvanitis, Andreas Papalambrou, Thomas Amorgianiotis, George Raptis, Nikolaos Zervos
2016 IFIP Advances in Information and Communication Technology  
Extracted metadata from the structured data, for example dates, are converted to RDF triplets and mapped to the ontology.  HTML tag mapping.  ...  Big Data and Data-driven Decision Making A lot of decisions in the industry are based on the analysis of data. This practice is called Data-driven decision making (DDD).  ... 
doi:10.1007/978-3-319-44944-9_54 fatcat:pa6jgz4z35bx7mjidmlnil6mpu

Exploiting Linked Data Towards the Production of Added-Value Business Analytics and Vice-versa

Eleni Fotopoulou, Panagiotis Hasapis, Anastasios Zafeiropoulos, Dimitris Papaspyros, Spiros Mouzakitis, Norma Zanetti
2015 Proceedings of 4th International Conference on Data Management Technologies and Applications  
Such analytics are in most cases related with the processing of data coming from various data sources that include structured and unstructured data.  ...  The majority of enterprises are in the process of recognizing that business data analytics have the potential to transform their daily operations and make them extremely effective at addressing business  ...  the production of advanced business analytics that can lead into insights and facilitate businesses to make analytical-driven decisions, an approach for exploiting linked data towards the production of  ... 
doi:10.5220/0005508700690080 dblp:conf/data/FotopoulouHZPMZ15 fatcat:n6rhsulkrnabrjbuxypuc3kvai

Towards Exploratory Olap On Linked Data

Stefano Rizzi, Enrico Gallinucci, Matteo Golfarelli, Alberto Abelló, Oscar Romero
2017 Zenodo  
This is done by identifying in the linked data the recurring modeling patterns that express roll-up relationships between RDF concepts and translating them into multidimensional knowledge.  ...  with ontologies and semantic web, where the focus is set on the EO and the user intentionally detects one pattern or the other; and an OLAP-driven experience, targeted to users who have good familiarity  ...  To increase the effectiveness of the user experience, two alternative interaction approaches are proposed to the user in our prototype: an ontology-driven experience, oriented to users who have good familiarity  ... 
doi:10.5281/zenodo.321627 fatcat:zockn4iopjgfnpa4liuik2luyy

An Ontology-Driven Approach for Integrating Intelligence to Manage Human and Ecological Health Risks in the Geospatial Sensor Web

Xiaoliang Meng, Feng Wang, Yichun Xie, Guoqiang Song, Shifa Ma, Shiyuan Hu, Junming Bai, Yiming Yang
2018 Sensors  
In this paper, we propose an ontology-driven approach for integrating intelligence to manage human and ecological health risks in the GSW.  ...  We design a Human and Ecological health Risks Ontology (HERO) based on a semantic sensor network ontology template.  ...  To achieve ontology-driven reasoning, a geo-event was decomposed into several simple tasks based on ontology [27] . Durbha et al.  ... 
doi:10.3390/s18113619 pmid:30366399 fatcat:msokkn4o3rcklom7ryzig6wndq
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