Constructing Domain Ontology from Texts: A Practical Approach and a Case Study

2009 ◽  
Author(s):  
William Sousan ◽  
Kristina Wylie ◽  
Zhengxin Chen
Keyword(s):  
Domain Ontology ◽  
Practical Approach

scholarly journals Multilingual author matching across different academic databases: a case study on KAKEN, DBLP, and PubMed

2021 ◽  
Vol 126 (3) ◽  
pp. 2311-2327
Author(s):  
Yuto Chikazawa ◽  
Marie Katsurai ◽  
Ikki Ohmukai
Keyword(s):  
Database Management ◽  
Similarity Measures ◽  
Practical Approach ◽  
Native Languages ◽  
Source Database ◽  
Academic Publications ◽  
Academic Records ◽  
Stable Performance ◽  
Target Database

AbstractResearchers often use their native languages to present and exchange ideas. To construct an individual author’s complete profile, a list of their English and non-English academic publications must be constructed. This paper presents a practical approach for multilingual author matching across different academic databases. Our approach automatically links the academic records of a target database to a researcher identifier of a source database. First, we extracted a comprehensive set of records in the target database, whose author names were identical to the researcher names in the source database. Then, we calculated multiple author similarity measures, which can be adopted in certain entity pairs from different language databases. Finally, we aggregated the measures to output an improved score that indicates the likelihood of each record as being the researcher’s work. Our method was found to be easy to implement, and its performance was evaluated in real database management settings. Experiments were conducted using DBLP and PubMed as the target English databases. As the Japanese database, KAKEN was the source for identifying researcher information. The results demonstrated each similarity measure’s performance, from which we observed that the score aggregation achieved stable performance. Our method can lessen human efforts to associate various scholarly contributions.

RELIABILITY ASSESSMENT OF SAFETY INSTRUMENTED SYSTEMS IN THE OIL AND GAS INDUSTRY: A PRACTICAL APPROACH AND A CASE STUDY

2009 ◽  
Vol 16 (02) ◽  
pp. 187-212 ◽  
Author(s):  
MARY ANN LUNDTEIGEN ◽  
MARVIN RAUSAND
Keyword(s):  
Oil And Gas ◽  
Fault Tree ◽  
Reliability Assessment ◽  
Fault Tree Analysis ◽  
Practical Approach ◽  
Suggested Approach ◽  
Tree Analysis ◽  
Common Cause ◽  
Common Cause Failures

This article presents a practical approach to reliability assessment of a complex safety instrumented system that is susceptible to common cause failures. The approach is based on fault tree analysis where the common cause failures are included by post-processing the minimal cut sets. The approach is illustrated by a case study of a safety instrumented function of a workover control system that is used during maintenance interventions into subsea oil and gas wells. The case study shows that the approach is well suited for identifying potential failures in complex systems and for including design engineers in the verification of the reliability analyses. Unlike many software tools for fault tree analysis, the approach gives conservative estimates for reliability. The suggested approach represents a useful extension to current reliability analysis methods.

Ontology-Based Opinion Mining for Online Product Reviews

2019 ◽  
pp. 123-148 ◽  
Author(s):  
Farheen Siddiqui ◽  
Parul Agarwal
Keyword(s):  
Information Extraction ◽  
Opinion Mining ◽  
Domain Ontology ◽  
Literature Survey ◽  
Extensive Literature ◽  
Product Reviews ◽  
Product Domain ◽  
User Centric ◽  
Selection Of

In this chapter, the authors work at the feature level opinion mining and make a user-centric selection of each feature. Then they preprocess the data using techniques like sentence splitting, stemming, and many more. Ontology plays an important role in annotating documents with metadata, improving the performance of information extraction and reasoning, and making data interoperable between different applications. In order to build ontology in the method, the authors use (product) domain ontology, ConceptNet, and word net databases. They discuss the current approaches being used for the same by an extensive literature survey. In addition, an approach used for ontology-based mining is proposed and exploited using a product as a case study. This is supported by implementation. The chapter concludes with results and discussion.

A practical approach to steam-enhanced dual-phase extraction: A case study

2003 ◽  
Vol 13 (3) ◽  
pp. 39-57 ◽  
Author(s):  
David P. Bouchard ◽  
Todd M. Musterait ◽  
James A. Sobieraj
Keyword(s):  
Practical Approach ◽  
Dual Phase ◽  
Phase Extraction
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