{"id":"https://openalex.org/W3133745743","doi":"https://doi.org/10.1109/icsc50631.2021.00018","title":"Efficient and Standardised Program Analyses using Semantic Methodologies","display_name":"Efficient and Standardised Program Analyses using Semantic Methodologies","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3133745743","doi":"https://doi.org/10.1109/icsc50631.2021.00018","mag":"3133745743"},"language":"en","primary_location":{"id":"doi:10.1109/icsc50631.2021.00018","doi":"https://doi.org/10.1109/icsc50631.2021.00018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsc50631.2021.00018","pdf_url":null,"source":{"id":"https://openalex.org/S4363608627","display_name":"IEEE International Conference on Semantic Computing (ICSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 15th International Conference on Semantic Computing (ICSC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5032688233","display_name":"Ganesh Selvaraj","orcid":"https://orcid.org/0000-0003-4309-488X","observed_orcids":["https://orcid.org/0000-0003-4309-488X"]},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Ganesh Selvaraj","raw_affiliation_strings":["University of Auckland,Department of Computer Science,Auckland,New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland,Department of Computer Science,Auckland,New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068382625","display_name":"Christof Lutteroth","orcid":"https://orcid.org/0000-0003-0634-7569","observed_orcids":["https://orcid.org/0000-0003-0634-7569"]},"institutions":[{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Christof Lutteroth","raw_affiliation_strings":["University of Bath,Department of Computer Science,Bath,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bath,Department of Computer Science,Bath,United Kingdom","institution_ids":["https://openalex.org/I51601045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081689055","display_name":"Gerald Weber","orcid":"https://orcid.org/0000-0002-1221-8045","observed_orcids":["https://orcid.org/0000-0002-1221-8045"]},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Gerald Weber","raw_affiliation_strings":["University of Auckland,Department of Computer Science,Auckland,New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Auckland,Department of Computer Science,Auckland,New Zealand","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"80","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9272000193595886,"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/T10260","display_name":"Software Engineering Research","score":0.9272000193595886,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.033399999141693115,"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/T10126","display_name":"Logic, programming, and type systems","score":0.01640000008046627,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/program-analysis","display_name":"program analysis","score":0.9950000047683716},{"id":"https://openalex.org/keywords/ontology-information-science","display_name":"ontology (information science)","score":0.5839999914169312},{"id":"https://openalex.org/keywords/resource-description-framework","display_name":"Resource Description Framework","score":0.8519999980926514},{"id":"https://openalex.org/keywords/triple-stores","display_name":"triple stores","score":0.8209999799728394},{"id":"https://openalex.org/keywords/datalog","display_name":"Datalog","score":0.972000002861023},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.8730000257492065},{"id":"https://openalex.org/keywords/software-correctness","display_name":"software correctness","score":0.414000004529953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8903582096099854},{"id":"https://openalex.org/C148230440","wikidata":"https://www.wikidata.org/wiki/Q1172264","display_name":"Datalog","level":2,"score":0.8695148229598999},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.7843919396400452},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.5591769814491272},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5398269295692444},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4758838415145874},{"id":"https://openalex.org/C98183937","wikidata":"https://www.wikidata.org/wiki/Q2112188","display_name":"Program analysis","level":2,"score":0.47088417410850525},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4697604179382324},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.44667619466781616},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.44473832845687866},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42337724566459656},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4132988452911377},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36128684878349304},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.2809197008609772},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsc50631.2021.00018","doi":"https://doi.org/10.1109/icsc50631.2021.00018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsc50631.2021.00018","pdf_url":null,"source":{"id":"https://openalex.org/S4363608627","display_name":"IEEE International Conference on Semantic Computing (ICSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 15th International Conference on Semantic Computing (ICSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1543471126","https://openalex.org/W1553894716","https://openalex.org/W1671718115","https://openalex.org/W1823445833","https://openalex.org/W2158600037","https://openalex.org/W2163521620","https://openalex.org/W2261812172"],"related_works":["https://openalex.org/W7038590812","https://openalex.org/W2769203526","https://openalex.org/W3010662877","https://openalex.org/W2546945565","https://openalex.org/W49331338","https://openalex.org/W2400218878","https://openalex.org/W1484491715","https://openalex.org/W1699786930","https://openalex.org/W1556233488","https://openalex.org/W2038173104"],"abstract_inverted_index":{"Program":[0],"analysis":[1,31,40,134],"is":[2,33,42],"the":[3,29,56,80,88,96,102,106,133,146],"process":[4,95],"of":[5,55],"gathering":[6],"deeper":[7],"insights":[8],"about":[9],"source":[10],"code":[11],"and":[12,38,45,67,78,94,98,123],"artefacts":[13],"in":[14,28],"order":[15],"to":[16,22,34,52,63,76,86,92,100,131,138],"keep":[17],"complex":[18],"software":[19],"correct":[20],"according":[21],"certain":[23],"criteria.":[24],"A":[25],"key":[26],"challenge":[27],"program":[30,70,107,154],"domain":[32],"have":[35,129],"a":[36,61,90,139],"standardised":[37],"reusable":[39],"that":[41],"fast,":[43],"precise":[44],"simple.":[46],"In":[47],"this":[48,126],"work,":[49],"we":[50],"propose":[51],"use":[53,73],"state":[54],"art":[57],"semantic":[58],"methodologies":[59],"as":[60],"capability":[62],"overcome":[64],"these":[65],"limitations":[66],"achieve":[68],"efficient":[69],"analyses.":[71,155],"We":[72,128],"an":[74],"ontology":[75],"model":[77],"standardise":[79],"domain,":[81],"Resource":[82],"Description":[83],"Framework":[84],"(RDF)":[85],"format":[87],"data,":[89],"triplestore":[91,118],"store":[93],"data":[97],"Datalog":[99],"represent":[101],"rules.":[103],"From":[104],"datalog,":[105],"analyses":[108],"rules":[109],"are":[110],"transformed":[111],"into":[112],"SPARQL":[113],"(defacto":[114],"query":[115,141,147],"language":[116],"for":[117,121],"databases)":[119],"queries":[120],"evaluation":[122],"execution.":[124],"By":[125],"way,":[127],"managed":[130],"convert":[132],"rule":[135],"execution":[136,142,148],"challenges":[137],"database":[140],"challenge,":[143],"thereby":[144],"optimising":[145],"strategies,":[149],"which":[150],"will":[151],"enable":[152],"faster":[153]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2021-03-15T00:00:00"}
