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Bootstrapping Method for Automatically Acquiring Instances and Properties in the Web Resources
Yusik Ri, Hyonchol Kim, Songil Cha

Bootstrapping Method for Automatically Acquiring Instances and Properties in the Web Resources

Author / Organization:
Science & Mathematics Published 2018 Verification Pending

Overview & Synopsis

With the rapid increase of Web resources, the Ontology has become an important research topic in the fields of Web information management and knowledge engineering. Nonetheless, ontology creation remains a daunting task. Bootstrapping method, which aims at automatically generating instances and their relations in a given domain, is a promising technique for ontology creation. In this paper we focus on an ontology instance and property generating method by using bootstrapping from the Web table resources. Most Web tables are designed for intuitive perception of human, thus, it has a certain limit to automatically interpret the table using only structural information. So, this work observes on the method for interpreting the table structure based on proper noun that is semantic core element of the table. This work propose algorithms to automatically acquire all instances or properties belonging to a given class, taking few terms belonging to class composed of proper noun as the seed. Empirical study of our novel approach has proved the effectiveness of ontology creation. Experimental results show that our approach can effectively acquire more accurate instances and properties from Web resources.

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Document Information

Document Title Bootstrapping Method for Automatically Acquiring Instances and Properties in the Web Resources
Author / Organization Yusik Ri, Hyonchol Kim, Songil Cha
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2018
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-216106
Original Source Link Visit Source Page on hal.science »