{"id":"https://openalex.org/W2751136195","doi":"https://doi.org/10.1109/icbk.2017.40","title":"Multi-layer Big Knowledge Visualization Scheme for Comprehending Neoplasm Ontology Content","display_name":"Multi-layer Big Knowledge Visualization Scheme for Comprehending Neoplasm Ontology Content","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2751136195","doi":"https://doi.org/10.1109/icbk.2017.40","mag":"2751136195"},"language":"en","primary_location":{"id":"doi:10.1109/icbk.2017.40","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbk.2017.40","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Knowledge (ICBK)","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/A5100758590","display_name":"Ling Zheng","orcid":"https://orcid.org/0000-0003-0047-5826"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ling Zheng","raw_affiliation_strings":["Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049390460","display_name":"Christopher Ochs","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Ochs","raw_affiliation_strings":["Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070654032","display_name":"James Geller","orcid":"https://orcid.org/0000-0002-9120-525X"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Geller","raw_affiliation_strings":["Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458789","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0002-1975-1272"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077648725","display_name":"Yehoshua Perl","orcid":"https://orcid.org/0000-0003-1940-9386"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yehoshua Perl","raw_affiliation_strings":["Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086610067","display_name":"Sherri de Coronado","orcid":null},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sherri De Coronado","raw_affiliation_strings":["National Institutes of Health, Bethesda, MD, US"],"affiliations":[{"raw_affiliation_string":"National Institutes of Health, Bethesda, MD, US","institution_ids":["https://openalex.org/I1299303238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100758590"],"corresponding_institution_ids":["https://openalex.org/I118118575"],"apc_list":null,"apc_paid":null,"fwci":0.1063,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48483798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"107","issue":null,"first_page":"127","last_page":"134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9975000023841858,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9685999751091003,"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":0.8303238153457642},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.8284374475479126},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6443885564804077},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.5612533092498779},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5154500603675842},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.5144898891448975},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4908915162086487},{"id":"https://openalex.org/keywords/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.45633289217948914},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4538399875164032},{"id":"https://openalex.org/keywords/abstraction-layer","display_name":"Abstraction layer","score":0.41492247581481934},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34539222717285156},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.3408268690109253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2942922115325928},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.17186325788497925},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09058842062950134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8303238153457642},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.8284374475479126},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6443885564804077},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.5612533092498779},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5154500603675842},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.5144898891448975},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4908915162086487},{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.45633289217948914},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4538399875164032},{"id":"https://openalex.org/C147358964","wikidata":"https://www.wikidata.org/wiki/Q1200992","display_name":"Abstraction layer","level":3,"score":0.41492247581481934},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34539222717285156},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.3408268690109253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2942922115325928},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.17186325788497925},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09058842062950134},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icbk.2017.40","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbk.2017.40","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Knowledge (ICBK)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W46109541","https://openalex.org/W1483357098","https://openalex.org/W1551684349","https://openalex.org/W1912975988","https://openalex.org/W1964298951","https://openalex.org/W1970022459","https://openalex.org/W1971421925","https://openalex.org/W1984314602","https://openalex.org/W2026743036","https://openalex.org/W2049292276","https://openalex.org/W2087779040","https://openalex.org/W2103017472","https://openalex.org/W2106537457","https://openalex.org/W2125580539","https://openalex.org/W2134598164","https://openalex.org/W2157316473","https://openalex.org/W2218642088","https://openalex.org/W2260376738","https://openalex.org/W2470579970","https://openalex.org/W2536527679","https://openalex.org/W2579555219","https://openalex.org/W2786056119","https://openalex.org/W4247487452"],"related_works":["https://openalex.org/W1984744919","https://openalex.org/W2770599040","https://openalex.org/W1901380330","https://openalex.org/W2132930690","https://openalex.org/W4248324254","https://openalex.org/W3017219868","https://openalex.org/W2901324294","https://openalex.org/W3009812692","https://openalex.org/W2105980483","https://openalex.org/W2075164989"],"abstract_inverted_index":{"Big":[0,41,58],"Knowledge":[1],"repositories,":[2],"in":[3,116],"the":[4,52,76,85,110,167],"form":[5,29],"of":[6,11,14,23,30,40,84,88,112,148,152,159],"large":[7],"ontologies,":[8],"typically":[9],"consist":[10],"many":[12],"thousands":[13],"knowledge":[15,49],"assertions.":[16],"They":[17],"have":[18,66],"complex":[19],"network":[20],"structures":[21],"consisting":[22],"nodes":[24],"and":[25,37,74,96],"links.":[26],"Without":[27],"some":[28],"comprehension,":[31,50,64],"humans":[32],"cannot":[33],"make":[34],"correct,":[35],"innovative":[36],"creative":[38],"use":[39],"Knowledge.":[42,59],"Visualization":[43],"is":[44,92,103,122,141],"an":[45,82,89,105],"important":[46],"tool":[47],"for":[48,57,69,94,128],"however,":[51],"node-link":[53,129],"diagrams":[54],"become":[55],"overwhelming":[56],"In":[60,132],"order":[61],"to":[62,109],"support":[63],"we":[65,118,135],"developed":[67],"methods":[68,79],"algorithmically":[70],"summarizing":[71],"ontology":[72,130,149],"content":[73],"visualizing":[75],"summaries.":[77],"These":[78],"facilitate":[80],"gaining":[81],"understanding":[83],"\"big":[86],"picture\"":[87],"ontology,":[90],"which":[91,153],"essential":[93],"maintenance":[95],"integration":[97],"into":[98],"applications.":[99],"Such":[100],"a":[101,123,137,156],"summary":[102],"called":[104],"abstraction":[106,146],"network.":[107],"Similar":[108],"theory":[111],"limited":[113,124],"working":[114],"memory":[115],"humans,":[117],"assume":[119],"that":[120,140],"there":[121],"human":[125],"comprehension":[126],"capacity":[127],"diagrams.":[131],"this":[133,163],"paper,":[134],"present":[136],"visualization":[138,164],"scheme":[139,165],"based":[142],"on":[143,166],"multi-layer,":[144],"multi-granularity":[145],"networks":[147],"content,":[150],"each":[151],"stays":[154],"below":[155],"maximum":[157],"number":[158],"nodes.":[160],"We":[161],"demonstrate":[162],"National":[168],"Cancer":[169],"Institute":[170],"Thesaurus's":[171],"Neoplasm":[172],"subhierarchy.":[173]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}