{"id":"https://openalex.org/W2509435738","doi":"https://doi.org/10.1109/icis.2016.7550762","title":"An alternative technique for populating Thai tourism ontology from texts based on machine learning","display_name":"An alternative technique for populating Thai tourism ontology from texts based on machine learning","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2509435738","doi":"https://doi.org/10.1109/icis.2016.7550762","mag":"2509435738"},"language":"en","primary_location":{"id":"doi:10.1109/icis.2016.7550762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2016.7550762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","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/A5026325925","display_name":"Aurawan Imsombut","orcid":"https://orcid.org/0000-0001-5799-100X"},"institutions":[{"id":"https://openalex.org/I13590829","display_name":"Dhurakij Pundit University","ror":"https://ror.org/01k12f283","country_code":"TH","type":"education","lineage":["https://openalex.org/I13590829"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Aurawan Imsombut","raw_affiliation_strings":["Dhurakij Pundit University, Bangkok, TH"],"affiliations":[{"raw_affiliation_string":"Dhurakij Pundit University, Bangkok, TH","institution_ids":["https://openalex.org/I13590829"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069774352","display_name":"Chaloemphon Sirikayon","orcid":null},"institutions":[{"id":"https://openalex.org/I13590829","display_name":"Dhurakij Pundit University","ror":"https://ror.org/01k12f283","country_code":"TH","type":"education","lineage":["https://openalex.org/I13590829"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Chaloemphon Sirikayon","raw_affiliation_strings":["Faculty of Information Technology, Dhurakij Pundit University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Dhurakij Pundit University, Bangkok, Thailand","institution_ids":["https://openalex.org/I13590829"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026325925"],"corresponding_institution_ids":["https://openalex.org/I13590829"],"apc_list":null,"apc_paid":null,"fwci":3.9809,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.94312398,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10028","display_name":"Topic Modeling","score":0.9969000220298767,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crfs","display_name":"CRFS","score":0.9173868298530579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7658798694610596},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7378403544425964},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7350003719329834},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.6538781523704529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6469480991363525},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6043291091918945},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5889396667480469},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5298675894737244},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5196534395217896},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.5138013958930969},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.47433772683143616},{"id":"https://openalex.org/keywords/ontology-learning","display_name":"Ontology learning","score":0.46317723393440247},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.4548833668231964},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.45029374957084656},{"id":"https://openalex.org/keywords/open-domain","display_name":"Open domain","score":0.4473256766796112},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.42052221298217773},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4101219177246094},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34686875343322754},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.2802078425884247},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.20895248651504517},{"id":"https://openalex.org/keywords/upper-ontology","display_name":"Upper ontology","score":0.18956753611564636},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0913567841053009},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07926017045974731},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.0674659013748169},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06731319427490234}],"concepts":[{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.9173868298530579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7658798694610596},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7378403544425964},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7350003719329834},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6538781523704529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6469480991363525},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6043291091918945},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5889396667480469},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5298675894737244},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5196534395217896},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.5138013958930969},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.47433772683143616},{"id":"https://openalex.org/C2777002027","wikidata":"https://www.wikidata.org/wiki/Q3620938","display_name":"Ontology learning","level":5,"score":0.46317723393440247},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.4548833668231964},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.45029374957084656},{"id":"https://openalex.org/C2993776861","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Open domain","level":3,"score":0.4473256766796112},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.42052221298217773},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4101219177246094},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34686875343322754},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.2802078425884247},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.20895248651504517},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.18956753611564636},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0913567841053009},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07926017045974731},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0674659013748169},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06731319427490234},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icis.2016.7550762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2016.7550762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2047693241","https://openalex.org/W2064066673","https://openalex.org/W2115461474","https://openalex.org/W2121485050","https://openalex.org/W2132655161","https://openalex.org/W2149820823","https://openalex.org/W2480364787"],"related_works":["https://openalex.org/W1964783010","https://openalex.org/W4250494529","https://openalex.org/W2399696375","https://openalex.org/W2061834489","https://openalex.org/W3088215229","https://openalex.org/W182104056","https://openalex.org/W45206245","https://openalex.org/W50079190","https://openalex.org/W2534386351","https://openalex.org/W11196620"],"abstract_inverted_index":{"This":[0,19],"paper":[1],"proposes":[2],"an":[3],"alternative":[4],"technique":[5,34],"to":[6,44,54,68],"perform":[7],"ontology":[8],"population":[9,24],"by":[10],"using":[11],"natural":[12],"language":[13,80],"processing":[14],"and":[15,49,59,97,101,105,111],"machine":[16],"learning":[17],"techniques.":[18],"study":[20],"conceptually":[21],"considers":[22],"the":[23,36,63,70,83,91],"task":[25],"as":[26],"classifying":[27],"terms":[28],"into":[29],"ontological":[30],"subcategories.":[31],"The":[32,74,86],"proposed":[33],"adopts":[35],"recognition":[37],"method":[38],"named":[39],"Conditional":[40],"Random":[41],"Fields":[42],"(CRFs)":[43],"identify":[45,69],"boundary":[46],"of":[47,52,99,113],"instances":[48,92],"define":[50],"types":[51],"subconcepts":[53],"generate":[55],"relationships":[56,71,106],"between":[57,72],"instance-of":[58],"related":[60],"concept.":[61],"Also,":[62],"lexico-syntactic":[64],"pattern":[65],"is":[66],"used":[67],"instances.":[73],"experiments":[75],"are":[76],"conducted":[77],"on":[78],"Thai":[79],"documents":[81],"in":[82],"tourism":[84],"domain.":[85],"experimental":[87],"results":[88],"showed":[89],"that":[90],"extraction":[93,107],"step":[94,108],"provided":[95],"77.62%":[96],"70.87%":[98],"precision":[100],"recall":[102,114],"measures,":[103],"respectively,":[104],"yielded":[109],"82.67%":[110],"72.61%":[112],"measures.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}