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Improving Case Retrieval by Enrichment of the Domain Ontology [chapter]

Valmi Dufour-Lussier, Jean Lieber, Emmanuel Nauer, Yannick Toussaint
2011 Lecture Notes in Computer Science  
This paper shows how enriching this ontology improves the retrieval and final results of the CBR system.  ...  For more details about the TAAABLE inference engine, see e.g. [2]. Case retrieval. Domain ontology. An ontology O defines the main classes and relations relevant to cooking, and guides retrieval.  ...  The authors wish to thank the reviewers for their helpful comments and suggestions for future work.  ... 
doi:10.1007/978-3-642-23291-6_7 fatcat:nlhccin5svfuberlnpyejl4aqe

Fuzzy-Ontology-Enrichment-based Framework for Semantic Search
english

Hajer Baazaoui Zghal, Henda Ben Ghezala
2014 Proceedings of the 10th International Conference on Web Information Systems and Technologies  
On the other hand, it aims to integrate the domain ontology enrichment and the fuzzy ontology building in the IR process.  ...  The dominance of information retrieval on the Web makes integrating and designing ontologies for the online Information Retrieval Systems (IRS) an attractive research area.  ...  From the obtained results after the experimentations, we note that the incremental enrichment of the domain ontology improves the relevance.  ... 
doi:10.5220/0004923801230130 dblp:conf/webist/ZghalG14 fatcat:b5wrhlac3zainmvjuyq4nyuvye

A Domain-Agnostic Tool for Scalable Ontology Population and Enrichment from Diverse Linked Data Sources

Efstratios Kontopoulos, Panagiotis Mitzias, Marina Riga, Ioannis Kompatsiaris
2017 International Conference on Data Analytics and Management in Data Intensive Domains  
PROPheT can populate a local ontology model with instances retrieved from diverse Linked Data sources served by SPARQL endpoints.  ...  tool for ontology population and enrichment.  ...  We would also like to thank the anonymous reviewers for their valuable remarks, thanks to which the paper has been significantly improved.  ... 
dblp:conf/rcdl/KontopoulosMRK17 fatcat:dcnqstac5nettedtohptiziwra

Semantic search using modular ontology learning and case-based reasoning

Nesrine Ben Mustapha, Hajer Baazaoui Zghal, Marie-Aude Aufaure, Henda ben Ghezala
2010 Proceedings of the 1st International Workshop on Data Semantics - DataSem '10  
Our work aims at improving ontology-based information retrieval by the integration of the traditional information retrieval process, the use of ontology learning (OL) and the Case-Based Reasoning (CBR)  ...  The main contribution of this work is the use of a CBR mechanism and an ontological representation for two purposes: Resource Retrieval from Web and ontology learning and enrichment from cases.  ...  Each document is represented by a vector Incremental Ontology Enrichment The final task of this system is the enrichment of the ontology module indexing the updated case or a new inserted case from the  ... 
doi:10.1145/1754239.1754243 dblp:conf/edbtw/MustaphaZAG10 fatcat:s3wiwvp6qjeclnhwufmeadxoo4

PROPheT–Ontology Population and Semantic Enrichment from Linked Data Sources [chapter]

Marina Riga, Panagiotis Mitzias, Efstratios Kontopoulos, Ioannis Kompatsiaris
2018 Zenodo  
PROPheT can populate a local ontology model with instances retrieved from diverse Linked Data sources served by SPARQL end-points.  ...  The paper presents PROPheT, a novel software tool for ontology population and enrichment.  ...  Nevertheless, there are still a few areas of improvement for the tool.  ... 
doi:10.5281/zenodo.3491661 fatcat:2cncc2sz2fbj5jvvmkwqwfzh4m

Enhancing semantic search using case-based modular ontology

Nesrine Ben Mustapha, Hajer Baazaoui Zghal, Marie-Aude Aufaure, Henda Ben Ghezala
2010 Proceedings of the 2010 ACM Symposium on Applied Computing - SAC '10  
Our work aims to improve ontology-based information retrieval by the integration of the traditional information retrieval, the use of ontology and the case based reasoning (CBR).  ...  The main contribution of this work is the use of a CBR mechanism and an ontological representation for two purposes: Resource Retrieval from Web and ontology enrichment from cases.  ...  Ontology-based similarity is used to retrieve similar cases and provide the users with alternative recommendations. Case base are also used in ontology enrichment.  ... 
doi:10.1145/1774088.1774393 dblp:conf/sac/MustaphaZAG10 fatcat:7q4x6qatjbe47pgmjsf6ltuuae

Using Semantic and Domain-Based Information in CLIR Systems [chapter]

Alessio Bosca, Matteo Casu, Mauro Dragoni, Chiara Di Francescomarino
2014 Lecture Notes in Computer Science  
Results demonstrate that the use of domain-specific resources leads to a significant improvement of CLIR system performance.  ...  This system has been applied on a domainspecific document collection and the contribution of the ontologies to the CLIR system has been evaluated in conjunction with the use of both Microsoft Bing and  ...  In this case, only queries containing at least one term matching the Domain Ontology have been performed.  ... 
doi:10.1007/978-3-319-07443-6_17 fatcat:iqoqtakugrdxlepk6g6t6huamy

Research on Ontology-Driven Information Retrieval [chapter]

Stein L. Tomassen
2006 Lecture Notes in Computer Science  
The ontology concepts are adapted to the domain terminology by computing a feature vector for each concept. Later, the feature vectors are used to enrich a provided query.  ...  We describe how these systems can be enriched with adapted ontologies to provide both an in-depth understanding of the user's needs as well as an easy integration with standard vector-space retrieval systems  ...  This research work is funded by the Integrated Information Platform for reservoir and subsea production systems (IIP) project, which is supported by the Norwegian Research Council (NFR).  ... 
doi:10.1007/11915072_50 fatcat:rtupcfshafgalc5epma3jvap34

Research of intelligent information retrieval system ontology-based in digital library

Lizhen Liu, Chengli Wang, Minhua Wu, Guoqiang He
2008 2008 IEEE International Symposium on IT in Medicine and Education  
Domain specific ontology can be used to improve information retrieval from traditional level based on keyword to the lay based on knowledge (or concept) and change the process of retrieval from traditional  ...  We proposed a model to solve the problem by using concept-based approach (ontology) and metadata case base.  ...  This work aims at improving ontology-based information retrieval by the integration of the traditional information retrieval process, the use of domain ontology and the CBR process.  ... 
doi:10.1109/itme.2008.4743890 fatcat:bg3sdxh7fnft5ot27jzwh2yhee

Study of Ontology or Thesaurus Based Document Clustering and Information Retrieval

G. Bharathi, D. Venkatesan
2012 Journal of Engineering and Applied Sciences  
To overcome the above issues, this paper makes a survey of recent research done on ontology or thesaurus based document clustering.  ...  Document clustering generates clusters from the whole document collection automatically and is used in many fields, including data mining and information retrieval.  ...  One approach is query expansion techniques using domain ontology and the other would be introducing a case based similarity measure for metadata information retrieval using Case Based Reasoning (CBR) approach  ... 
doi:10.3923/jeasci.2012.342.347 fatcat:qsdkroainjc4ljxmfunfiqwonm

Procedure for the Contextual, Textual and Ontological Construction of Specialized Knowledge Bases

François Achille Djontu Tajouo, Thierry Noulamo, Jean-Pierre Lienou
2021 European Journal of Electrical Engineering and Computer Science  
extraction system for the enrichment of the different ontology modules of the domain.  ...  time, improvement of the quality of found information and the efficient decision making.  ...  The extracted data necessarily have a purpose, and in the case of species, they will be structured by a domain ontology and allow the enrichment of a knowledge base. C.  ... 
doi:10.24018/ejece.2021.5.1.282 fatcat:q345zktrb5anxj2jq2d3mdsf24

Ontology Learning Through Focused Crawling and Information Extraction

Hiep Phuc Luong, Susan Gauch, Qiang Wang
2009 2009 International Conference on Knowledge and Systems Engineering  
Ontology learning aims to facilitate the construction of ontologies by decreasing the amount of effort required to produce an ontology for a new domain.  ...  However, there are few studies that attempt to automate the entire ontology learning process from the collection of domain-specific literature, to text mining to build new ontologies or enrich existing  ...  ACKNOWLEDGMENT This research is partially supported by the NSF grant DBI-0445752: Semi-Automated Construction of an Ontology for Amphibian Morphology.  ... 
doi:10.1109/kse.2009.28 fatcat:ygfgok6lobgr3f2x4zrbanrxuu

A Rule-Based Spatial Reasoning Approach for OpenStreetMap Data Quality Enrichment; Case Study of Routing and Navigation

Amin Mobasheri
2017 Sensors  
improve the ability of the system to retrieve information.  ...  This is especially the case with routing and navigation services where the ability to retrieve points of interest and landmarks make the routing service personalized, precise, and relevant.  ...  Conflicts of Interest: The author declares no conflict of interest.  ... 
doi:10.3390/s17112498 pmid:29088125 pmcid:PMC5712863 fatcat:szgjfheszfadnfel2cz6gytaf4

A Knowledge-based Image Retrieval System Integrating Semantic and Visual Features

Olfa Allani, Hajer Baazaoui Zghal, Nedra Mellouli, Herman Akdag
2016 Procedia Computer Science  
The main limitations of the existing high level image retrieval approaches concern the high dependance on an external reliable resource (domain ontologies, learning sets, etc. ) and a model for mapping  ...  The system has been implemented and the obtained results show that our proposal enables an improvement in the retrieval task.  ...  Case study Throughout this section, we illustrate a case study of the system's application in image retrieval. We start with the offline phase steps, particularly, pattern graph building.  ... 
doi:10.1016/j.procs.2016.08.188 fatcat:aicfbk4yubgjhbcat46sbdxykm

The CHRONIOUS Ontology-Driven Search Tool: Enabling Access to Focused and Up-to-Date Healthcare Literature [article]

Stephan Kiefer, Jochen Rauch, Riccardo Albertoni, Marco Attene, Franca Giannini, Simone Marini, Luc Schneider, Carlos Mesquita, Xin Xing, Michael Lawo
2011 arXiv   pre-print
These ontologies have been developed on the top of the Middle Layer Ontology for Clinical Care (MLOCC), which provides a link with the Basic Formal Ontology, a foundational ontology used in the Open Biological  ...  This paper presents an advanced search engine prototype for bibliography retrieval developed within the CHRONIOUS European IP project of the seventh Framework Program (FP7).  ...  Acknowledgment This research has been performed within the project CHRONIOUS (EU Contract N. FP7-ICT-2007-1-216461). The authors want to thanks all the partners for their support.  ... 
arXiv:1110.2400v1 fatcat:lqqofhn6j5gwznuyvhdl4jzu54
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