{"id":"https://openalex.org/W2137594687","doi":"https://doi.org/10.1109/fuzzy.2008.4630678","title":"Automated semantic tagging using fuzzy grammar fragments","display_name":"Automated semantic tagging using fuzzy grammar fragments","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2137594687","doi":"https://doi.org/10.1109/fuzzy.2008.4630678","mag":"2137594687"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2008.4630678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","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/A5112335235","display_name":"Trevor Martin","orcid":null},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Trevor Martin","raw_affiliation_strings":["Artificial Intelligence Group, University of Bristol, UK","Artificial Intell. Group, Univ. of Bristol, Bristol"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Group, University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Artificial Intell. Group, Univ. of Bristol, Bristol","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050781579","display_name":"Yun Shen","orcid":"https://orcid.org/0000-0001-7863-8475"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]},{"id":"https://openalex.org/I14689143","display_name":"BT Research","ror":"https://ror.org/03308db07","country_code":"GB","type":"facility","lineage":["https://openalex.org/I1332878012","https://openalex.org/I14689143"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yun Shen","raw_affiliation_strings":["Artificial Intelligence Group, University of Bristol, Ipswich, UK","[Computational Intelligence Group, Intelligent Systems, Laboratory, BT Research and Venturing, Ipswich IP5 3RE UK]"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Group, University of Bristol, Ipswich, UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"[Computational Intelligence Group, Intelligent Systems, Laboratory, BT Research and Venturing, Ipswich IP5 3RE UK]","institution_ids":["https://openalex.org/I14689143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109050602","display_name":"Ben Azvine","orcid":null},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ben Azvine","raw_affiliation_strings":["Computational Intelligence Group, Intelligent Systems Laboratory, Ipswich, UK","Artificial Intelligence Group, University of Bristol BS8 1TR UK"],"affiliations":[{"raw_affiliation_string":"Computational Intelligence Group, Intelligent Systems Laboratory, Ipswich, UK","institution_ids":[]},{"raw_affiliation_string":"Artificial Intelligence Group, University of Bristol BS8 1TR UK","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112335235"],"corresponding_institution_ids":["https://openalex.org/I36234482"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.10981572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":null,"first_page":"2224","last_page":"2229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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":0.9944000244140625,"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/T10028","display_name":"Topic Modeling","score":0.9943000078201294,"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/computer-science","display_name":"Computer science","score":0.8603335618972778},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7211847305297852},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6641454100608826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5992357730865479},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.5547225475311279},{"id":"https://openalex.org/keywords/regular-expression","display_name":"Regular expression","score":0.49047133326530457},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.4515584409236908},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.4375686049461365},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.4247297942638397},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41938066482543945},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41215717792510986},{"id":"https://openalex.org/keywords/attribute-grammar","display_name":"Attribute grammar","score":0.4111584424972534},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.39591237902641296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08586567640304565},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07760176062583923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8603335618972778},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7211847305297852},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6641454100608826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5992357730865479},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.5547225475311279},{"id":"https://openalex.org/C121329065","wikidata":"https://www.wikidata.org/wiki/Q185612","display_name":"Regular expression","level":2,"score":0.49047133326530457},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.4515584409236908},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.4375686049461365},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.4247297942638397},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41938066482543945},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41215717792510986},{"id":"https://openalex.org/C164041254","wikidata":"https://www.wikidata.org/wiki/Q597455","display_name":"Attribute grammar","level":3,"score":0.4111584424972534},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.39591237902641296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08586567640304565},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07760176062583923},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzzy.2008.4630678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/10cdecbe-ac41-4f03-a6f9-d05001859bec","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/10cdecbe-ac41-4f03-a6f9-d05001859bec","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Martin, TP, Yun, S & Azvine, B 2008, Automated semantic tagging using fuzzy grammar fragments. in FUZZ-IEEE 2008. (IEEE International Conference on Fuzzy Systems, 2008), Hong Kong. Institute of Electrical and Electronics Engineers (IEEE), pp. 2224 - 2229. https://doi.org/10.1109/FUZZY.2008.4630678","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7200000286102295,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1506285740","https://openalex.org/W1520663999","https://openalex.org/W1545972218","https://openalex.org/W1574901103","https://openalex.org/W1970219979","https://openalex.org/W2091921087","https://openalex.org/W2117400858","https://openalex.org/W2154210598","https://openalex.org/W4239696231","https://openalex.org/W4285719527","https://openalex.org/W4289255420","https://openalex.org/W6630198464","https://openalex.org/W6673650959","https://openalex.org/W6677437730"],"related_works":["https://openalex.org/W2563334590","https://openalex.org/W2807616588","https://openalex.org/W3094387502","https://openalex.org/W3136824659","https://openalex.org/W2118045671","https://openalex.org/W2024503956","https://openalex.org/W2151458388","https://openalex.org/W2336186403","https://openalex.org/W1987865176","https://openalex.org/W4238464440"],"abstract_inverted_index":{"One":[0],"of":[1,7,32],"the":[2,8,12,41,84,100],"bottlenecks":[3],"preventing":[4],"wider":[5],"adoption":[6],"semantic":[9],"Web":[10,17],"is":[11,27,49,90],"overhead":[13],"in":[14],"annotating":[15],"existing":[16],"content.":[18],"In":[19],"cases":[20],"where":[21],"we":[22,76],"have":[23],"unstructured":[24],"text,":[25],"it":[26],"useful":[28],"to":[29,50,82,86],"extract":[30],"fragments":[31],"structured":[33],"data":[34],"which":[35,87],"can":[36],"then":[37],"be":[38],"used":[39],"as":[40],"basis":[42],"for":[43],"automatic":[44],"tagging.":[45],"A":[46,96],"common":[47],"approach":[48],"use":[51],"pattern":[52],"matching":[53],"(e.g.":[54],"regular":[55],"expressions)":[56],"or":[57],"more":[58],"general":[59],"grammar-based":[60],"techniques,":[61],"but":[62],"these":[63],"are":[64],"not":[65],"robust":[66],"against":[67],"small":[68],"deviations.":[69],"Fuzzy":[70],"grammars":[71],"allow":[72],"partial":[73],"matches,":[74],"and":[75],"outline":[77],"an":[78],"efficient":[79],"parsing":[80],"technique":[81],"determine":[83],"degree":[85],"a":[88,93],"string":[89],"parsed":[91],"by":[92],"grammar":[94],"fragment.":[95],"simple":[97],"application":[98],"shows":[99],"methodpsilas":[101],"validity.":[102]},"counts_by_year":[{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
