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Semi-automatic Construction of Topic Ontologies [chapter]

Blaž Fortuna, Dunja Mladenič, Marko Grobelnik
2006 Lecture Notes in Computer Science  
topic ontology construction.  ...  The system offers supports to the user during the construction process by suggesting topics and analysing them in real time.  ...  Semi-automatic construction of topic ontology We view semi-automatic topic ontology construction as a process where the user is taking all the decisions while the computer only gives suggestions for the  ... 
doi:10.1007/11908678_8 fatcat:ukt53f2w2rbzff5t4n6qdbbuvu

Semi-Automatic Trend Detection In Scholarly Repository Using Semantic Approach

Fereshteh Mahdavi, Maizatul Akmar Ismail, Noorhidawati Abdullah
2009 Zenodo  
Previous works lack of an appropriate representation scheme for research topics.  ...  This paper describes a method that combines Semantic Web and ontology to support advance search functions such as trend detection in the context of scholarly Semantic Web system (SSWeb).  ...  SEMI-AUTOMATIC TREND DETECTION IN SSWEB This research employs semi-automatic trend detection method based on Semantic Web and ontology.  ... 
doi:10.5281/zenodo.1331504 fatcat:bp3535sxdrdsva3md4uu3r25ru

Cross-Context Linking Concepts Discovery in E-Government Literature [chapter]

Bojan Cestnik, Alenka Kern
2016 Lecture Notes in Computer Science  
The motivation for our preliminary study has been three-fold: first, to obtain an overview of the topics addressed in the recently published e-government papers, with the emphasis on identifying the shift  ...  to the rest of the documents; and third, to compare the papers that address a similar topic from two document sources and to show characteristic similarities and differences between the two origins, with  ...  Acknowledgement The presented work was partially carried out for the Housing Fund of the Republic of Slovenia, Public Fund.  ... 
doi:10.1007/978-3-319-44421-5_2 fatcat:wmxnwucwync37mk5vhwjpeu5n4

Probabilistic Topic Models for Enriching Ontology from Texts

Anis Tissaoui, Salma Sassi, Richard Chbeir
2020 SN Computer Science  
However, the main challenge in ontology enrichment is its learning, since there is still a lack of relevant approach able to achieve automatic enrichment from a textual corpus or dataset of various topics  ...  In this paper, we describe a new approach for automatic learning of terminological ontologies from textual corpus based on probabilistic models.  ...  Next, we illustrate in "Methodology" our ontology semi-automatic enrichment methodology.  ... 
doi:10.1007/s42979-020-00349-y fatcat:75ujrafeczecdgyiyv27dxks2a

Advancing Topic Ontology Learning through Term Extraction [chapter]

Blaž Fortuna, Nada Lavrač, Paola Velardi
2008 Lecture Notes in Computer Science  
The proposed methodology, named OntoTermExtraction is based on OntoGen, a semi-automated tool for topic ontology construction, upgraded by using and an advanced terminology extraction tool in an iterative  ...  , semiautomated ontology construction process.  ...  Introduction OntoGen [1, 2] is a semi-automated, data-driven ontology construction tool, focused on the construction and editing of topic ontologies.  ... 
doi:10.1007/978-3-540-89197-0_57 fatcat:da7innskazbflp3ibysqgjk5ti

The Status Quo of Ontology Learning from Unstructured Knowledge Sources for Knowledge Management [chapter]

Andreas Scheuermann, Jens Obermann
2014 IFIP Advances in Information and Communication Technology  
This paper presents a study of state-of-the-art research of ontology learning from unstructured knowledge sources for Knowledge Management.  ...  Ontologies constitute a basic ingredient of Knowledge Management; thus, ontology learning from unstructured knowledge sources is of particular interest since it bears the potential to bring significant  ...  The work presented in this paper was partly funded by the German Federal Ministry of Education and Research under the project InterLogGrid (BMBF 01IG09010E).  ... 
doi:10.1007/978-3-642-54897-0_5 fatcat:wvhiuv47pre45it4s5ltffdple

Semi-automatic, data-driven construction of multimedia ontologies

A. Jaimes, J.R. Smith
2003 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)  
In this paper we investigate semi-automatic construction of multimedia ontologies using a data-driven approach.  ...  We then combine standard tools for ontology engineering and tools in contentbased retrieval to semi-automatically build ontologies.  ...  ACKNOWLEDGMENTS The authors would like to thank all of the members of the IBM 2002 TREC team for annotating the TREC collection and for their many technical contributions.  ... 
doi:10.1109/icme.2003.1221034 dblp:conf/icmcs/JaimesS03 fatcat:ekxx2o22wjdyxpbbk5pxvtxjc4

iOntoBioethics: A Framework for the Agile Development of Bioethics Ontologies in Pandemics, Applied to COVID-19

Mohammed Odeh, Faten F. Kharbat, Rana Yousef, Yousra Odeh, Dina Tbaishat, Nancy Hakooz, Rana Dajani, Asem Mansour
2021 Frontiers in Medicine  
Bioethics (MCB) ontology from selected bioethics sources, and (2) Automatically generating bioethics ontological topic models with all 26,170 sources and using special-purpose developed Text Mining and  ...  for automatic governance of bioethics processes.  ...  Likewise, the bioethics ontology construction stages discussed above were re-adapted to apply the LDA topic-modeling algorithm to the full chapters of this textbook in order to automatically construct  ... 
doi:10.3389/fmed.2021.619978 pmid:34095160 pmcid:PMC8175792 fatcat:y7m6ipcecbfq3hisuekd5raicq

Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology [chapter]

Safwan Shatnawi, Mohamed Medhat Gaber, Mihaela Cocea
2014 Lecture Notes in Computer Science  
To address this problem, we identify content-knowledge related posts using a course domain ontology and provide students with timely informative automatic feedback.  ...  Moreover, we provide facilitators with feedback of students posts, such as frequent topics students ask about.  ...  The proposed system uses a course domain ontology to detect topics in students posts and topics' properties. As a result, automatic feedback is sent back to the student.  ... 
doi:10.1007/978-3-319-10840-7_4 fatcat:jsamx7myffhe7cxnrihyj4pxui

Domain Ontology Learning from the Web

David Sánchez
2009 Knowledge engineering review (Print)  
Ontology Learning is defined as the set of methods used for building from scratch, enriching or adapting an existing ontology in a semi-automatic fashion using heterogeneous information sources.  ...  This data-driven process uses text, electronic dictionaries, linguistic ontologies and structured and semi-structured information to acquire knowledge.  ...  The solution is designed as an integrated and incremental learning system that is able to construct domain ontologies from scratch.  ... 
doi:10.1017/s0269888909990300 fatcat:s72meo3nh5dujfz6et4pczq3ta

Semi-Automated Ontology building through Natural Language Processing

Jaytrilok Choudhary, Deepak Singh Tomar
2014 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY  
Thus, an approach to build ontology in semi-automated manner has been proposed. The proposed approach extracts concept automatically from open directory Dmoz.  ...  Usually, ontology is developed manually, but the manual ontology construction requires lots of efforts by domain experts. It is also time consuming and costly.  ...  Semi-automated ontology construction begins with small core ontology constructed by domain experts and learns the new concepts and relationships between concepts automatically using expert algorithms.  ... 
doi:10.24297/ijct.v13i8.7072 fatcat:27xhyff7gbf3tg6ae375eu4mde

A Framework for Summarization of Multi-topic Web Sites

Yongzheng Zhang
2009 Knowledge engineering review (Print)  
Ontology Learning is defined as the set of methods used for building from scratch, enriching or adapting an existing ontology in a semi-automatic fashion using heterogeneous information sources.  ...  This data-driven process uses text, electronic dictionaries, linguistic ontologies and structured and semi-structured information to acquire knowledge.  ...  The solution is designed as an integrated and incremental learning system that is able to construct domain ontologies from scratch.  ... 
doi:10.1017/s0269888909990312 fatcat:l5z2i3rcvrcjtgxbo7vmqcf3nm

Semi-Automatic Terminology Ontology Learning Based on Topic Modeling [article]

Monika Rani, Amit Kumar Dhar, O. P. Vyas
2017 arXiv   pre-print
However, the challenge in ontology engineering is automatic learning, i.e., the there is still a lack of fully automatic approach from a text corpus or dataset of various topics to form ontology using  ...  Experimental analysis on building a topic ontology and semantic retrieving corresponding topic ontology for the user's query demonstrating the effectiveness of the proposed approach.  ...  Using latent feature author constructs a semi-automatic topic ontology (fuzzy ontology) to enhance accurate semantic search rather than syntactic search.  ... 
arXiv:1709.01991v1 fatcat:quvasuunqjgk3o7ku3wtlgm5ni

Semi-Automatic Construction Of Ontology-Based Cbr System For Knowledge Integration

Junjie Gao, Guishi Deng
2010 Zenodo  
are made automatically that can aid designers to achieve semi-automatic construction of OWL domain ontology.  ...  a novel approach for semi-automatically construct ontology-based CBR system whose architecture is based on two-layer ontology.  ...  THE APPROACH FOR SEMI-AUTOMATIC CONSTRUCTION OF ONTOLOGY-BASED CBR SYSTEM The approach flow of semi-automatic construction of ontology-based CBR system is shown as fig.2 , which comprises mainly two  ... 
doi:10.5281/zenodo.1086221 fatcat:jhdugsrxufghdix53xrb6wswea

A Personalized Ontology Model For Web Mining Using Instance Matching

Madhuri S. Pawar
2016 International Journal Of Engineering And Computer Science  
Ontology contains lots of instances. Automatically instance matching has become the fundamental issue. Instance matching approach is used to present based on discriminative property value.  ...  Ontology describes and formalizes standardized representation of knowledge as a set of concepts and the relationship between those concepts.  ...  Figure 2 shows the proposed ontology model. A personalized ontology is constructed, according to a given topic.  ... 
doi:10.18535/ijecs/v5i7.24 fatcat:6ccquuwnozcmtjs6in6vrtvila
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