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An intelligent system for semi-automatic evolution of ontologies

Maryam Ramezani, Hans Friedrich Witschel
2010 2010 5th IEEE International Conference Intelligent Systems  
Ontologies are an important part of the Semantic Web as well as of many intelligent systems.  ...  In addition, since ontology evolution is not controlled by end users, it may take too long for a conceptual change in the domain to be reflected in the ontology.  ...  However, this work also postpones the automatic creation of an 978-1-4244-5164-7/10/$26.00 ©2010 IEEE ontology and mapping tags to the related class of an ontology to future research. Markines et al.  ... 
doi:10.1109/is.2010.5548403 dblp:conf/is/RamezaniW10 fatcat:n3heejxbarcfjbqwmkngjpyjfa

BOEM: A Model for Automating Detection and Evolution of Distributed Ontologies in Multi-Agent Environment

Ashraf Soliman, Akram Salah, Hesham Hefny
2017 International Journal of Intelligent Engineering and Systems  
One of its results shows that an empty internal ontology of one agent could evolve automatically in runtime by 88.3% through its interactions with other agents.  ...  This paper is considered a step forward to automate ontology evolution for agents in multiagent environment.  ...  Journal of Intelligent Engineering and Systems, Vol. 10 ⊆ (3) Where KI is knowledge of an individual agent and KS is knowledge of a knowledge-source agent.  ... 
doi:10.22266/ijies2017.1231.20 fatcat:4pcyflbs4jcnxgntyf6w7vnz4e

Using an Ontology Learning System for Trend Analysis and Detection

Gerhard Wohlgenannt, Stefan Belk, Matyas Karacsonyi, Matthias Schett
2014 International Semantic Web Conference  
The aim of ontology learning is to generate domain models (semi-) automatically.  ...  We apply an ontology learning system to create domain ontologies from scratch in a monthly interval and use the resulting data to detect and analyze trends in the domain.  ...  As the manual construction of ontologies is expensive, there have been a number of efforts to (semi-)automatic ontology learning (OL).  ... 
dblp:conf/semweb/WohlgenanntBKS14 fatcat:en27npertnakpdz5k2ddhycdbu

A Collaborative Framework for Ontology and Instance Data Co-evolution and Extraction

Omar Qawasmeh
2018 International Conference Knowledge Engineering and Knowledge Management  
In this thesis, we investigate in the different systems that are concerns in designing and evolving the ontologies in automatic or semi-automatic techniques.  ...  Moreover, we are working to provide a collaborative framework for ontology and instance data co-evolution and extraction.  ...  Cahyani and Wasito [6] propose an automatic system to build an ontology for the Alzheimer's disease.  ... 
dblp:conf/ekaw/Qawasmeh18 fatcat:tutinvs2jvbibdnq5db4cleyl4

Management of dynamic knowledge

Peter Haase, Johanna Völker, York Sure, John Davies
2005 Journal of Knowledge Management  
Purpose -This paper presents a framework for ontology evolution tailored to Digital Libraries, which makes use of two different sources for change detection and propagation, the usage of ontologies by  ...  Findings -The proposed framework for ontology ontology evolution, which is currently applied and evaluated in the case studies, significantly reduces the costs of ontology updates and improves the quality  ...  in an automatic or semi-automatic fashion.  ... 
doi:10.1108/13673270510622483 fatcat:ens6irvcwjaw3aqoti5ywz63du

TELESUP - Textual Self-Learning Support Systems

Sebastian Furth, Joachim Baumeister
2014 Lernen, Wissen, Daten, Analysen  
The regular improvement and adaptation of an ontology is a key factor for the success of an ontology-based system.  ...  In this paper, we report on an ongoing project that aims for a methodology and tool for ontology development in a self-improving manner.  ...  Acknowledgments The work described in this paper is supported by the Bundesministerium für Wirtschaft und Energie (BMWi) under the grant ZIM KF2959902BZ4 "SELE-SUP -SElf-LEarning SUPport Systems".  ... 
dblp:conf/lwa/FurthB14 fatcat:crbg4ar7uvdq7moruqn7ygzs7q

Ontology Verification Using Contexts

Aviv Segev, Avigdor Gal
2006 European Conference on Artificial Intelligence  
In this work we provide a model to semi-automatically support relationship evolution in an ontology using contexts.  ...  On a conceptual level, we introduce an ontology verification model, a quantified model for automatically assessing the validity of relationships in an ontology.  ...  In this work we provide a model and an example of an algorithm to semi-automatically support relationship evolution in an ontology using contexts.  ... 
dblp:conf/ecai/SegevG06 fatcat:tw7b5robfzccliuhjd3bg2oju4

Human Intelligence in the Process of Semantic Content Creation

Katharina Siorpaes, Elena Simperl
2009 World wide web (Bussum)  
One of the reasons for this state of affairs is assumed to be the lack of useful semantic content, a prerequisite for almost every IT system or application using semantics.  ...  Through its very nature, this content can not be created fully automatically, but requires, to a certain degree, human contribution.  ...  IEEE Intelligent Systems.)  ... 
doi:10.1007/s11280-009-0078-0 fatcat:adbitxfmrbettokx4duprf2auu

Supporting Documentation and Evolution of Crosscutting Concerns in Business Processes

Chiara Di Francescomarino
2008 International Conference on Service Oriented Computing  
We propose to add semantic annotations from a domain ontology to BPMN process elements in order to be able, on their basis, to manually or semi-automatically mine concerns crosscutting the process.  ...  Once modularized separately from the principal process flow, we aim at supporting the consistent evolution of all the process parts they crosscut, by means of a BPMN-based rule language.  ...  we propose a method to document CC evolution and, whenever any CC changes, to update all modules it crosscuts, in an automatic or semi-automatic way.  ... 
dblp:conf/icsoc/Francescomarino08 fatcat:ygfdwdx3czajji2nkozlsi6xyq

Semantic Adaptation of Knowledge Representation Systems [chapter]

Catarina Lucena, João Sarraipa, Ricardo Jardim-Gonçalves
2013 IFIP Advances in Information and Communication Technology  
This paper's presents a PhD research with the objective to identify a suitable approach that combines semantic mappings with user's feedback, providing an automatic learning to ontologies & enabling autoadaptability  ...  Due to the worldwide diversity of enterprises, a high number of ontologies representing the same segment of reality which are not semantically coincident have appeared.  ...  Ontology learning can be defined as the set of methods and techniques used for building, semi-automatically or automatically, ontology from scratch, enriching, or adapting an existing ontology using several  ... 
doi:10.1007/978-3-642-37291-9_10 fatcat:3b64nukazbalddwabwcir33eea

Special Issue on: Evolution and Versioning in Semantic Data Integration Systems

Ladjel Bellatreche, Robert Wrembel
2013 Journal on Data Semantics  
Acknowledgments The guest editors would like to acknowledge the help of all involved in the review process of this special issue of the Journal on Data Semantics. The reviewers provided comprehensive,  ...  Since such changes are frequent, developing a technology for handling them automatically or semi-automatically in a semantic integration system is of high practical importance.  ...  A semantic integration system requires changes among others as the result of: (1) the evolution of DSs, (2) changes of the real world represented in an integration system, (3) the evolution of domain ontologies  ... 
doi:10.1007/s13740-013-0020-6 fatcat:owcwpo3viff63f32ms7g2f7q6m

Semantic Web Tools and Decision-Making [chapter]

Francisco Antunes, Manuela Freire, João Paulo Costa
2014 Lecture Notes in Business Information Processing  
In this paper the general objectives of the semantic web tools are reviewed and characterized, as well as the categories of decision support tools, in order to establish an intersection of utility and  ...  We also elaborate on actual and foreseen possibilities for a deeper integration, considering the actual implementation, opportunities and constraints in the decision-making context.  ...  Web evolution Web 1.0 is known as an early stage of the conceptual evolution of the World Wide Web, where users simply acted as publishers and consumers of content, as webpage information was closed to  ... 
doi:10.1007/978-3-319-07179-4_31 fatcat:fkgidorpdnedvp6ztslcqvyhf4

A Survey Paper on Technologies to Link and Model Multidimensional Data on the Semantic Web for Business Intelligence

2015 International Journal of Science and Research (IJSR)  
The Semantic Web has allowed for evolution of linked multidimensional data that allows for querying information on the web using their semantics or meaning and not just a list of key words.  ...  Business Intelligence platforms provide great support in analyzing large volumes of data.  ...  The most common way to map unstructured (or semi structured) data in OLAP data cube is to create mappings through ontology. However, building the ontology manually is an extremely complex task.  ... 
doi:10.21275/v4i12.nov152531 fatcat:yev7x6jarvgnbljbt2odoagot4

Ontology Population Via Nlp Techniques In Risk Management

Jawad Makki, Anne-Marie Alquier, Violaine Prince
2008 Zenodo  
In this paper we propose an NLP-based method for Ontology Population from texts and apply it to semi automatic instantiate a Generic Knowledge Base (Generic Domain Ontology) in the risk management domain  ...  The approach is semi-automatic and uses a domain expert intervention for validation.  ...  as: Databases and data warehouses, decision support system, expert systems, intelligent agents, data mining, ontologies, etc.  ... 
doi:10.5281/zenodo.1071154 fatcat:o2b6uknt2rh5jf73ptcxlrtn3i

Data integration for virtual enterprise in cyberworlds

Cheng Leong Ang, R. Gay, O. Sourina
2005 2005 International Conference on Cyberworlds (CW'05)  
Virtual Enterprise enables companies to collaborate through sharing of resources, and therefore allows them to enjoy the benefits of virtual integration. The essence of  ...  Our aim is to develop a prototype of an ontology-learning system for the semi-automatic, if not fully automatic, generation of ontologies, and to implement it as an integral part of the proposed ontology-based  ...  This requires, among other things, methods and technology for the automatic control, maintenance and evolution of the adaptive mobile agent systems [2] .  ... 
doi:10.1109/cw.2005.36 dblp:conf/cw/AngGS05 fatcat:66obmzpmkvghbazumaxxvzgvbu
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