{"id":"https://openalex.org/W2294695278","doi":"https://doi.org/10.5220/0005612303300336","title":"POS Tagging-probability Weighted Method for Matching the Internet Recipe Ingredients with Food Composition Data","display_name":"POS Tagging-probability Weighted Method for Matching the Internet Recipe Ingredients with Food Composition Data","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2294695278","doi":"https://doi.org/10.5220/0005612303300336","mag":"2294695278"},"language":"en","primary_location":{"id":"doi:10.5220/0005612303300336","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005612303300336","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005612303300336","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082115266","display_name":"Tome Eftimov","orcid":"https://orcid.org/0000-0001-7330-1902"},"institutions":[{"id":"https://openalex.org/I4210113529","display_name":"Jo\u017eef Stefan International Postgraduate School","ror":"https://ror.org/01hdkb925","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210113529"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Tome Eftimov","raw_affiliation_strings":["Jo\u017eef Stefan Institute and Jozef Stefan International Postgraduate School, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute and Jozef Stefan International Postgraduate School, Slovenia","institution_ids":["https://openalex.org/I4210113529"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112053518","display_name":"Barbara Korousicg Seljak","orcid":null},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Barbara Korousicg Seljak","raw_affiliation_strings":["Jo\u017eef Stefan Institute, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9764999747276306,"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":0.9764999747276306,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9049999713897705,"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/recipe","display_name":"Recipe","score":0.9726961255073547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7107970714569092},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.664832353591919},{"id":"https://openalex.org/keywords/ingredient","display_name":"Ingredient","score":0.5108396410942078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4640333652496338},{"id":"https://openalex.org/keywords/composition","display_name":"Composition (language)","score":0.4629424810409546},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.45812615752220154},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39794230461120605},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3977063000202179},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20731768012046814},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16132718324661255},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11860230565071106},{"id":"https://openalex.org/keywords/food-science","display_name":"Food science","score":0.11567968130111694}],"concepts":[{"id":"https://openalex.org/C2778671685","wikidata":"https://www.wikidata.org/wiki/Q219239","display_name":"Recipe","level":2,"score":0.9726961255073547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107970714569092},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.664832353591919},{"id":"https://openalex.org/C2780589914","wikidata":"https://www.wikidata.org/wiki/Q10675206","display_name":"Ingredient","level":2,"score":0.5108396410942078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4640333652496338},{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.4629424810409546},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.45812615752220154},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39794230461120605},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3977063000202179},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20731768012046814},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16132718324661255},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11860230565071106},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.11567968130111694},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0005612303300336","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005612303300336","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0005612303300336","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005612303300336","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1488197732","https://openalex.org/W1580040909","https://openalex.org/W1601556566","https://openalex.org/W1973845871","https://openalex.org/W1978394996","https://openalex.org/W2035556892","https://openalex.org/W2049342557","https://openalex.org/W2058837810","https://openalex.org/W2085337304","https://openalex.org/W2131357087","https://openalex.org/W2169353679","https://openalex.org/W2347007084"],"related_works":["https://openalex.org/W2909050333","https://openalex.org/W2611971073","https://openalex.org/W2011684307","https://openalex.org/W2512497230","https://openalex.org/W2950291079","https://openalex.org/W4288389006","https://openalex.org/W2124095343","https://openalex.org/W3168874191","https://openalex.org/W2065710407","https://openalex.org/W2765707332"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,112],"present":[4],"a":[5,104],"new":[6],"method":[7,29,102,123],"that":[8,121],"can":[9,93,124],"be":[10,94],"used":[11,86,95],"for":[12,96],"matching":[13],"recipe":[14],"ingredients":[15,46,116,129],"extracted":[16,113],"from":[17,23,41,54,68,110],"the":[18,39,42,45,48,51,66,73,79,82,88,118,128,131],"Internet":[19],"to":[20,37,71],"nutritional":[21],"data":[22],"food":[24,52],"composition":[25],"databases":[26],"(FCDBs).":[27],"The":[28],"uses":[30],"part":[31],"of":[32,44,50,106,127],"speech":[33],"tagging":[34,70],"(POS":[35],"tagging)":[36],"capture":[38],"information":[40,67],"names":[43,49],"and":[47,78,92,117],"analyses":[53],"FCDBs.":[55],"Then,":[56],"probability":[57],"weighted":[58],"model":[59],"is":[60,85],"presented,":[61],"which":[62,111],"takes":[63],"into":[64],"account":[65],"POS":[69],"assign":[72],"weight":[74,84],"on":[75],"each":[76],"match":[77,80,125],"with":[81,130],"highest":[83],"as":[87],"most":[89],"relevant":[90],"one":[91],"further":[97],"analyses.":[98],"We":[99],"evaluated":[100],"our":[101,122],"using":[103],"collection":[105],"721":[107],"lunch":[108],"recipes,":[109],"1,615":[114],"different":[115],"result":[119],"showed":[120],"91.82%":[126],"FCDB.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}