{"id":"https://openalex.org/W7134169957","doi":"https://doi.org/10.1109/bigdata66926.2025.11401070","title":"LiteKG: A Lightweight LLM-Assisted Framework for Domain-Specific Knowledge Graph Construction","display_name":"LiteKG: A Lightweight LLM-Assisted Framework for Domain-Specific Knowledge Graph Construction","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W7134169957","doi":"https://doi.org/10.1109/bigdata66926.2025.11401070"},"language":null,"primary_location":{"id":"doi:10.1109/bigdata66926.2025.11401070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata66926.2025.11401070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019852178","display_name":"Yi-Mo Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yi-Mo Ho","raw_affiliation_strings":["National Chung Hsing University,Department of Marketing,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chung Hsing University,Department of Marketing,Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128366394","display_name":"Wei-Pin Ku","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Pin Ku","raw_affiliation_strings":["National Chung Hsing University,Department of Marketing,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chung Hsing University,Department of Marketing,Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115064219","display_name":"Pei-Yu Hou","orcid":"https://orcid.org/0000-0001-5429-476X"},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pei-Yu Hou","raw_affiliation_strings":["Administration National Chengchi University,Department of Business,Taiwan"],"affiliations":[{"raw_affiliation_string":"Administration National Chengchi University,Department of Business,Taiwan","institution_ids":["https://openalex.org/I87354575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019852178"],"corresponding_institution_ids":["https://openalex.org/I162838928"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8860019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5652","last_page":"5661"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9301999807357788,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9301999807357788,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.01979999989271164,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.010599999688565731,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4253999888896942},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.3253999948501587},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.31769999861717224},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.3122999966144562},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.2921000123023987}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6223999857902527},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4253999888896942},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.301800012588501},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2702000141143799},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata66926.2025.11401070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata66926.2025.11401070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W2007834894","https://openalex.org/W2036318708","https://openalex.org/W2080133951","https://openalex.org/W2101746535","https://openalex.org/W2110444463","https://openalex.org/W2114544510","https://openalex.org/W2151502664","https://openalex.org/W2515462165","https://openalex.org/W2802692857","https://openalex.org/W2890315891","https://openalex.org/W2918428907","https://openalex.org/W2970641574","https://openalex.org/W3125468681","https://openalex.org/W4285730848","https://openalex.org/W4311080256","https://openalex.org/W4385571451","https://openalex.org/W4386443326","https://openalex.org/W4387848658","https://openalex.org/W4388017394","https://openalex.org/W4390096875","https://openalex.org/W4391093129","https://openalex.org/W4400680808","https://openalex.org/W4402697996","https://openalex.org/W4406458164","https://openalex.org/W4407449342","https://openalex.org/W4411120260","https://openalex.org/W4414089702","https://openalex.org/W7104176434"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-03-09T07:06:17.341095","created_date":"2026-03-09T00:00:00"}
