{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:34:08Z","timestamp":1761006848691,"version":"build-2065373602"},"reference-count":21,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2010,11,18]],"date-time":"2010-11-18T00:00:00Z","timestamp":1290038400000},"content-version":"vor","delay-in-days":686,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc of Assoc for Info"],"published-print":{"date-parts":[[2009,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>We propose a methodology for mapping the research in Information Science (IS) field based on a combined use of symbolic (linguistic) and numeric information. Using the same list of 12 IS journals as in earlier studies on this same topic (White &amp; McCain ; Zhao &amp; Strotmann &amp;), we mapped the structure of research in IS for two consecutive periods: 1996\u20102005 and 2006\u20102008. We focused on mapping the content of scientific publications from the title and abstract fields of underlying publications. The labels of clusters were automatically derived from titles and abstracts of scientific publications based on linguistic criteria. The results showed that while Information Retrieval (IR) and Citation studies continued to be the two structuring poles of research in IS, other prominent poles have emerged: webometrics in the first period (1996\u20102005) evolved into general web studies in the second period, integrating more aspects of IR research. Hence web studies and IR are more interwoven. There is still persistence of user studies in IS but now dispersed among the web studies and the IR poles. The presence of some recent trends in IR research such as automatic summarization and the use of language models were also highlighted by our method. Theoretic research on \u201cinformation science\u201d continue to occupy a smaller but persistence place. Citation studies on the other hand remains a monolithic block, isolated from the two other poles (IR and web studies) save for a tenuous link through user studies. Citation studies have also recently evolved internally to accommodate newcomers like \u201ch\u2010index, Google scholar and the open access model\u201d. All these results were automatically generated by our method without resorting to manual labeling of specialties nor reading the publication titles. Our results show that mapping domain knowledge structures at the term level offers a more detailed and intuitive picture of the field as well as capturing emerging trends.<\/jats:p>","DOI":"10.1002\/meet.2009.1450460227","type":"journal-article","created":{"date-parts":[[2010,1,29]],"date-time":"2010-01-29T10:48:28Z","timestamp":1264762108000},"page":"1-23","source":"Crossref","is-referenced-by-count":7,"title":["Information Science in the web era: A term\u2010based approach to domain mapping"],"prefix":"10.1002","volume":"46","author":[{"given":"Fidelia","family":"Ibekwe\u2010SanJuan","sequence":"first","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2010,11,18]]},"reference":[{"key":"e_1_2_7_2_2","doi-asserted-by":"publisher","DOI":"10.1002\/asi.20567"},{"key":"e_1_2_7_3_2","unstructured":"BatageljV. MryarA.(2009)Pajek. Program for Large Network Analysis. Retrieved online on 15 january 2009 [http:\/\/vlado.fmf.uni\u2010lj.si\/pub\/networks\/pajek\/]"},{"key":"e_1_2_7_4_2","unstructured":"BoyackK. B\u00e4rnerK. KlavansR.(2007).Mapping the structure and evolution of chemistry research. In Torres\u2010Salinas D. & Moed H. F. (Eds.). Proceedings of the 11th International Conference of the International Society for Scientometrics and Informetrics. Center for Scientific Information and Documentation of the Spanish Research Council Madrid Spain 112\u2013123."},{"key":"e_1_2_7_5_2","first-page":"6","article-title":"A stability based method for discovering structure in clustered data","volume":"7","author":"Ben\u2010Hur A.","year":"2002","journal-title":"Pacific symposium on biocomputing"},{"key":"e_1_2_7_6_2","doi-asserted-by":"publisher","DOI":"10.1177\/053901883022002003"},{"issue":"3","key":"e_1_2_7_7_2","first-page":"359","volume":"57","author":"Chen C.","year":"2006","journal-title":"CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature, Journal of the American Society for Information Science and Technology"},{"issue":"1","key":"e_1_2_7_8_2","first-page":"61","article-title":"Accurate methods for the statistics of surprise and coincidence","volume":"19","author":"Dunning T.","year":"1993","journal-title":"Computational Linguistics"},{"key":"e_1_2_7_9_2","first-page":"274","volume-title":"Citation indexing \u2013 its theory and application in science, technology and humanities","author":"Garfield E.","year":"1979"},{"volume-title":"Mathematical Structures of Language","year":"1968","author":"Harris Z. S.","key":"e_1_2_7_10_2"},{"key":"e_1_2_7_11_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0507655102"},{"key":"e_1_2_7_12_2","doi-asserted-by":"crossref","unstructured":"Ibekwe\u2010SanJuanF.(1998) Terminological variation a means of identifying research topics from texts Joint International Conference on Computational Linguistics (COLING\u2010ACL'98) Montr\u00e9al Qu\u00e9bec 10\u201014 August 1998 564\u2013570.","DOI":"10.3115\/980451.980939"},{"key":"e_1_2_7_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2006.03.025"},{"key":"e_1_2_7_14_2","doi-asserted-by":"publisher","DOI":"10.1002\/asi.5090140103"},{"key":"e_1_2_7_15_2","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(199705)48:5<418::AID-ASI4>3.0.CO;2-Y"},{"volume-title":"Introduction to modern information retrieval","year":"1986","author":"Salton G.","key":"e_1_2_7_16_2"},{"issue":"6","key":"e_1_2_7_17_2","first-page":"1532","article-title":"Textmining without document context, Information Processing & Management","volume":"42","author":"SanJuan E.","year":"2006","journal-title":"Special issue on Informetrics II"},{"key":"e_1_2_7_18_2","first-page":"5183","volume-title":"Mapping knowledge domains","author":"Schiffrin R.","year":"2004"},{"key":"e_1_2_7_19_2","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(1999)50:9<799::AID-ASI9>3.0.CO;2-G"},{"key":"e_1_2_7_20_2","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(19980401)49:4<327::AID-ASI4>3.0.CO;2-4"},{"key":"e_1_2_7_21_2","doi-asserted-by":"publisher","DOI":"10.1002\/asi.20799"},{"key":"e_1_2_7_22_2","doi-asserted-by":"publisher","DOI":"10.1002\/asi.20910"}],"container-title":["Proceedings of the American Society for Information Science and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fmeet.2009.1450460227","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fmeet.2009.1450460227","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/asistdl.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/meet.2009.1450460227","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:18:23Z","timestamp":1760955503000},"score":1,"resource":{"primary":{"URL":"https:\/\/asistdl.onlinelibrary.wiley.com\/doi\/10.1002\/meet.2009.1450460227"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,1]]},"references-count":21,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2009,1]]}},"alternative-id":["10.1002\/meet.2009.1450460227"],"URL":"https:\/\/doi.org\/10.1002\/meet.2009.1450460227","archive":["Portico"],"relation":{},"ISSN":["0044-7870","1550-8390"],"issn-type":[{"type":"print","value":"0044-7870"},{"type":"electronic","value":"1550-8390"}],"subject":[],"published":{"date-parts":[[2009,1]]}}}