Difference between revisions of "Mmkg: an Approach to Generate Metallic Materials Knowledge Graph based on Dbpedia and Wikipedia"
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| − | '''Mmkg: an Approach to Generate Metallic Materials Knowledge Graph based on Dbpedia and Wikipedia''' - scientific work related to Wikipedia quality published in 2017, written by Xiaoming Zhang, Xin Liu, Xin Li and Dongyu Pan. | + | '''Mmkg: an Approach to Generate Metallic Materials Knowledge Graph based on Dbpedia and Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Xiaoming Zhang]], [[Xin Liu]], [[Xin Li]] and [[Dongyu Pan]]. |
== Overview == | == Overview == | ||
| − | Abstract The research and development of metallic materials are playing an important role in today’s society, and in the meanwhile lots of metallic materials knowledge is generated and available on the Web (e.g., | + | Abstract The research and development of metallic materials are playing an important role in today’s society, and in the meanwhile lots of metallic materials knowledge is generated and available on the Web (e.g., [[Wikipedia]]) for materials experts. However, due to the diversity and complexity of metallic materials knowledge, the knowledge utilization may encounter much inconvenience. The idea of knowledge graph (e.g., [[DBpedia]]) provides a good way to organize the knowledge into a comprehensive entity network. Therefore, the motivation of work is to generate a metallic materials knowledge graph (MMKG) using available knowledge on the Web. In this paper, an approach is proposed to build MMKG based on DBpedia and Wikipedia. First, authors use an algorithm based on directly linked sub-graph semantic distance (DLSSD) to preliminarily extract metallic materials entities from DBpedia according to some predefined seed entities; then based on the results of the preliminary extraction, authors use an algorithm, which considers both semantic distance and string similarity (SDSS), to achieve the further extraction. Second, due to the absence of materials properties in DBpedia, authors use an [[ontology]]-based method to extract properties knowledge from the HTML tables of corresponding Wikipedia Web pages for enriching MMKG. Materials ontology is used to locate materials properties tables as well as to identify the structure of the tables. The proposed approach is evaluated by precision, recall, F1 and time performance, and meanwhile the appropriate thresholds for the algorithms in approach are determined through experiments. The experimental results show that approach returns expected performance. A tool prototype is also designed to facilitate the process of building the MMKG as well as to demonstrate the effectiveness of approach. |
Revision as of 01:49, 10 November 2019
Mmkg: an Approach to Generate Metallic Materials Knowledge Graph based on Dbpedia and Wikipedia - scientific work related to Wikipedia quality published in 2017, written by Xiaoming Zhang, Xin Liu, Xin Li and Dongyu Pan.
Overview
Abstract The research and development of metallic materials are playing an important role in today’s society, and in the meanwhile lots of metallic materials knowledge is generated and available on the Web (e.g., Wikipedia) for materials experts. However, due to the diversity and complexity of metallic materials knowledge, the knowledge utilization may encounter much inconvenience. The idea of knowledge graph (e.g., DBpedia) provides a good way to organize the knowledge into a comprehensive entity network. Therefore, the motivation of work is to generate a metallic materials knowledge graph (MMKG) using available knowledge on the Web. In this paper, an approach is proposed to build MMKG based on DBpedia and Wikipedia. First, authors use an algorithm based on directly linked sub-graph semantic distance (DLSSD) to preliminarily extract metallic materials entities from DBpedia according to some predefined seed entities; then based on the results of the preliminary extraction, authors use an algorithm, which considers both semantic distance and string similarity (SDSS), to achieve the further extraction. Second, due to the absence of materials properties in DBpedia, authors use an ontology-based method to extract properties knowledge from the HTML tables of corresponding Wikipedia Web pages for enriching MMKG. Materials ontology is used to locate materials properties tables as well as to identify the structure of the tables. The proposed approach is evaluated by precision, recall, F1 and time performance, and meanwhile the appropriate thresholds for the algorithms in approach are determined through experiments. The experimental results show that approach returns expected performance. A tool prototype is also designed to facilitate the process of building the MMKG as well as to demonstrate the effectiveness of approach.
