메뉴 건너뛰기




Volumn 25, Issue 12, 2010, Pages 1158-1186

Automatic keyphrase extraction and ontology mining for content-based tag recommendation

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE TAGGING; CONTENT-BASED; DOMAIN ONTOLOGIES; KEYPHRASE EXTRACTION; PERSONALIZED CONTENT; PROTOTYPE SYSTEM; SHARING INFORMATION; TAG RECOMMENDATIONS;

EID: 78349275289     PISSN: 08848173     EISSN: 1098111X     Source Type: Journal    
DOI: 10.1002/int.20448     Document Type: Article
Times cited : (63)

References (61)
  • 2
    • 33644912045 scopus 로고    scopus 로고
    • Usage patterns of collaborative tagging systems
    • Golder SA, Huberman BA., Usage patterns of collaborative tagging systems. J Inform Sci 2006; 32 (2): 198 - 208.
    • (2006) J Inform Sci , vol.32 , pp. 198-208
    • Golder, S.A.1    Huberman, B.A.2
  • 4
    • 84887475423 scopus 로고    scopus 로고
    • Star: A social tag recommender system
    • Eisterlehner F., Hotho A., Jäschke R., editors. Bled, Slovenia: CEUR
    • Musto C, Narducci F, Gemmis MD, Lops P, Semeraro G., Star: a social tag recommender system. In:, Eisterlehner F, Hotho A, Jäschke R, editors. ECML PKDD discovery challenge. Bled, Slovenia: CEUR; 2009. Vol. 497, pp 215 - 227.
    • (2009) ECML PKDD Discovery Challenge , vol.497 , pp. 215-227
    • Musto, C.1    Narducci, F.2    Gemmis, M.D.3    Lops, P.4    Semeraro, G.5
  • 9
    • 0010227028 scopus 로고    scopus 로고
    • Learning user information interests through the extraction of semantically significant phrases
    • Hearst M., Hirsh H., editors. Stanford, CA: AAAI Press
    • Krulwich B, Burkey C., Learning user information interests through the extraction of semantically significant phrases. In:, Hearst M, Hirsh H, editors. Spring Symp on Machine Learning in Information Access. Stanford, CA: AAAI Press; 1996. pp 110 - 112.
    • (1996) Spring Symp on Machine Learning in Information Access , pp. 110-112
    • Krulwich, B.1    Burkey, C.2
  • 11
    • 33751576408 scopus 로고    scopus 로고
    • A keyphrase-based approach to summarization: The LAKE system
    • Vancouver, Canada
    • D', avanzo E, Magnini B., A keyphrase-based approach to summarization: the LAKE system. In: Document Understanding Conference. Vancouver, Canada; 2005.
    • (2005) Document Understanding Conference
    • Avanzo, E.1    Magnini, B.2
  • 14
    • 12344257696 scopus 로고    scopus 로고
    • Automating keyphrase extraction with multi-objective genetic algorithms
    • Washington, DC: IEEE Computer Society
    • Wu JL, Agogino AM., Automating keyphrase extraction with multi-objective genetic algorithms. In: Hawaii Int Conf on System Sciences. Washington, DC: IEEE Computer Society. 2004. pp 401 - 403.
    • (2004) Hawaii Int Conf on System Sciences , pp. 401-403
    • Wu, J.L.1    Agogino, A.M.2
  • 15
    • 42149106891 scopus 로고    scopus 로고
    • Document keyphrases as subject metadata: Incorporating document key concepts in search results
    • Wu YFB, Li Q., Document keyphrases as subject metadata: incorporating document key concepts in search results. J Infor Retrieval 2008; 11 (3): 229 - 249.
    • (2008) J Infor Retrieval , vol.11 , pp. 229-249
    • Wu, Y.F.B.1    Li, Q.2
  • 17
    • 78349291220 scopus 로고    scopus 로고
    • PKU at imageclef 2008: Experiments with query extension techniques for text-base and content-based image retrieval
    • Aarhus, Denmark: Springer
    • Zhou Z, Tian Y, Li Y, Liu T, Huang T, Gao W., PKU at imageclef 2008: experiments with query extension techniques for text-base and content-based image retrieval. In: Online Working Notes for the Cross-Language Evaluation Forum. Aarhus, Denmark: Springer; 2008.
    • (2008) Online Working Notes for the Cross-Language Evaluation Forum
    • Zhou, Z.1    Tian, Y.2    Li, Y.3    Liu, T.4    Huang, T.5    Gao, W.6
  • 18
    • 77955916675 scopus 로고    scopus 로고
    • Human-competitive tagging using automatic keyphrase extraction
    • Morristown, NJ: Association for Computational Linguistics
    • Medelyan O, Frank E, Witten IH., Human-competitive tagging using automatic keyphrase extraction. In: Conf on Empirical Methods in Natural Language Processing. Morristown, NJ: Association for Computational Linguistics; 2009. pp 1318 - 1327.
    • (2009) Conf on Empirical Methods in Natural Language Processing , pp. 1318-1327
    • Medelyan, O.1    Frank, E.2    Witten, I.H.3
  • 19
    • 0003980416 scopus 로고    scopus 로고
    • Institute for Information Technology, Technical Report ERB-1057; 1999. Available online: (accessed April 19
    • Turney PD., Learning to extract keyphrases from text. National Research Council, Institute for Information Technology, Technical Report ERB-1057; 1999. Available online: (accessed April 19, 2010).
    • (2010) Learning to Extract Keyphrases from Text. National Research Council
    • Turney, P.D.1
  • 20
    • 21844478478 scopus 로고    scopus 로고
    • Learning algorithms for keyphrase extraction
    • Turney PD., Learning algorithms for keyphrase extraction. J Inform Retrieval 2000; 2: 303 - 336.
    • (2000) J Inform Retrieval , pp. 303-336
    • Turney, P.D.1
  • 21
    • 84880800002 scopus 로고    scopus 로고
    • Coherent keyphrase extraction via Web mining
    • San Francisco, CA: Morgan Kaufmann
    • Turney PD., Coherent keyphrase extraction via Web mining. In: Int Joint Conf on Artificial Intelligence. San Francisco, CA: Morgan Kaufmann; 2003. pp 434 - 439.
    • (2003) Int Joint Conf on Artificial Intelligence , pp. 434-439
    • Turney, P.D.1
  • 24
    • 85128484571 scopus 로고    scopus 로고
    • Improved automatic keyword extraction given more linguistic knowledge
    • Morristown, NJ: Association for Computational Linguistics
    • Hulth A., Improved automatic keyword extraction given more linguistic knowledge. In: Empirical methods in natural language processing. Morristown, NJ: Association for Computational Linguistics; 2003. pp 216 - 223.
    • (2003) Empirical Methods in Natural Language Processing , pp. 216-223
    • Hulth, A.1
  • 29
    • 77956054799 scopus 로고    scopus 로고
    • Clustering to find exemplar terms for keyphrase extraction
    • Singapore: Association for Computational Linguistics
    • Liu Z, Li P, Zheng Y, Sun M., Clustering to find exemplar terms for keyphrase extraction. In: Int Conf on Empirical Methods in Natural Language Processing. Singapore: Association for Computational Linguistics; 2009. pp 257 - 266.
    • (2009) Int Conf on Empirical Methods in Natural Language Processing , pp. 257-266
    • Liu, Z.1    Li, P.2    Zheng, Y.3    Sun, M.4
  • 30
    • 57749198218 scopus 로고    scopus 로고
    • Single document keyphrase extraction using neighborhood knowledge
    • AAAI Press
    • Wan X, Xiao J., Single document keyphrase extraction using neighborhood knowledge. In: National Conf on Artificial Intelligence. AAAI Press; 2008. pp 855 - 860.
    • (2008) National Conf on Artificial Intelligence , pp. 855-860
    • Wan, X.1    Xiao, J.2
  • 32
    • 77954810372 scopus 로고    scopus 로고
    • Graph-based keyword extraction for single-document summarization
    • Morristown, NJ: Association for Computational Linguistics
    • Litvak M, Last M., Graph-based keyword extraction for single-document summarization. In: Multi-Source Multilingual Information Extraction and Summarization. Morristown, NJ: Association for Computational Linguistics; 2008. pp 17 - 24.
    • (2008) Multi-Source Multilingual Information Extraction and Summarization , pp. 17-24
    • Litvak, M.1    Last, M.2
  • 33
    • 84878095822 scopus 로고    scopus 로고
    • Keyphrase extraction using semantic networks structure analysis
    • Washington, DC: IEEE Computer Society
    • Huang C, Tian Y, Zhou Z, Ling CX, Huang T., Keyphrase extraction using semantic networks structure analysis. In: Int Conf on Data Mining. Washington, DC: IEEE Computer Society; 2006. pp 275 - 284.
    • (2006) Int Conf on Data Mining , pp. 275-284
    • Huang, C.1    Tian, Y.2    Zhou, Z.3    Ling, C.X.4    Huang, T.5
  • 34
    • 0038589165 scopus 로고    scopus 로고
    • The anatomy of a large-scale hyper textual web search engine
    • Brin S, Page L., The anatomy of a large-scale hyper textual web search engine. J Comput Networks ISDN Syst 1998; 30 (1-7): 107 - 117.
    • (1998) J Comput Networks ISDN Syst , vol.30 , pp. 107-117
    • Brin, S.1    Page, L.2
  • 36
    • 63449102752 scopus 로고    scopus 로고
    • Ontology-based classification of news in an electronic newspaper
    • Varna, Bulgaria
    • Tenenbaum L, Shapira B, Shoval P., Ontology-based classification of news in an electronic newspaper. In: INFOS. Varna, Bulgaria; 2008. pp 89 - 97.
    • (2008) INFOS , pp. 89-97
    • Tenenbaum, L.1    Shapira, B.2    Shoval, P.3
  • 37
    • 77951292670 scopus 로고    scopus 로고
    • Exploring e-learning knowledge through ontological memetic agents
    • Acampora G, Gaeta M, Loia V., Exploring e-learning knowledge through ontological memetic agents. IEEE Comput Intell Maga 2010; 5 (2): 66 - 77.
    • (2010) IEEE Comput Intell Maga , vol.5 , Issue.2 , pp. 66-77
    • Acampora, G.1    Gaeta, M.2    Loia, V.3
  • 39
    • 34250639068 scopus 로고    scopus 로고
    • Autotag: A collaborative approach to automated tag assignment for Weblog posts
    • New York: ACM
    • Mishne G., Autotag: a collaborative approach to automated tag assignment for Weblog posts. In: Int Conf on World Wide Web. New York: ACM; 2006. pp 953 - 954.
    • (2006) Int Conf on World Wide Web , pp. 953-954
    • Mishne, G.1
  • 42
    • 0002116880 scopus 로고    scopus 로고
    • Ifweb: A prototype of user model-based intelligent agent for document filtering and navigation in the World Wide Web
    • Chia Laguna, Sardinia
    • Asnicar F, Tasso C., Ifweb: a prototype of user model-based intelligent agent for document filtering and navigation in the World Wide Web. In: Int Conf on User Modelling. Chia Laguna, Sardinia; 1997.
    • (1997) Int Conf on User Modelling
    • Asnicar, F.1    Tasso, C.2
  • 45
    • 78349294240 scopus 로고    scopus 로고
    • Towards bridging the gap between personalization and information extraction
    • Agosti M., Esposito F., Thanos C., editors. Padova, Italy
    • Pudota N, Casoto P, Dattolo A, Omero P, Tasso C., Towards bridging the gap between personalization and information extraction. In:, Agosti M, Esposito F, Thanos C, editors. Italian Res Conf on Digital Library Management Systems. Padova, Italy; 2008. pp 33 - 40.
    • (2008) Italian Res Conf on Digital Library Management Systems , pp. 33-40
    • Pudota, N.1    Casoto, P.2    Dattolo, A.3    Omero, P.4    Tasso, C.5
  • 46
    • 0000582788 scopus 로고    scopus 로고
    • An algorithm for suffix stripping
    • San Francisco: Morgan Kaufmann
    • Porter MF., An algorithm for suffix stripping. In: Readings in information retrieval. San Francisco: Morgan Kaufmann; 1997. pp 313 - 316.
    • (1997) Readings in Information Retrieval , pp. 313-316
    • Porter, M.F.1
  • 47
    • 84974295346 scopus 로고
    • Technical terminology: Some linguistic properties and an algorithm for identification in text
    • Justeson J, Katz S., Technical terminology: some linguistic properties and an algorithm for identification in text. J Nat Lang Eng 1995; 1: 9 - 27.
    • (1995) J Nat Lang Eng , pp. 9-27
    • Justeson, J.1    Katz, S.2
  • 49
    • 34547930508 scopus 로고    scopus 로고
    • Using lexical chains for keyword extraction
    • Ercan G, Cicekli I., Using lexical chains for keyword extraction. J Inform Process Manage 2007; 43 (6): 1705 - 1714.
    • (2007) J Inform Process Manage , vol.43 , pp. 1705-1714
    • Ercan, G.1    Cicekli, I.2
  • 50
    • 38149118040 scopus 로고    scopus 로고
    • Keyphrase extraction in scientific publications
    • Goh D.H.L., Cao T.H., Ølvberg I.S., Rasmussen E.M., editors. Berlin: Springer;. Vol. pp
    • Nguyen TD, Kan MY., Keyphrase extraction in scientific publications. In:, Goh DHL, Cao TH, Ølvberg IS, Rasmussen EM, editors. Lecture Notes in Computer Science. Berlin: Springer; 2007. Vol. 4822. pp 317 - 326.
    • (2007) Lecture Notes in Computer Science , vol.4822 , pp. 317-326
    • Nguyen, T.D.1    Kan, M.Y.2
  • 51
    • 59249101321 scopus 로고    scopus 로고
    • Automatic keyphrase extraction from scientific documents using N-gram filtration technique
    • New York: ACM
    • Kumar N, Srinathan K., Automatic keyphrase extraction from scientific documents using N-gram filtration technique. In: ACM Symp on Document Engineering. New York: ACM; 2008. pp 199 - 208.
    • (2008) ACM Symp on Document Engineering , pp. 199-208
    • Kumar, N.1    Srinathan, K.2
  • 52
    • 0002638429 scopus 로고
    • Semantic memory
    • Minsky M., editor. Cambridge, MA: MIT Press
    • Quillian M., Semantic memory. In:, Minsky M, editor. Semantic information processing. Cambridge, MA: MIT Press; 1968. pp 227 - 270.
    • (1968) Semantic Information Processing , pp. 227-270
    • Quillian, M.1
  • 53
    • 76649091276 scopus 로고    scopus 로고
    • Toward semantic digital libraries: Exploiting Web 2.0 and semantic services in cultural heritage
    • Available at: (accessed September 29, 2010
    • Baruzzo A, Casoto P, Challapalli P, Dattolo A, Pudota N, Tasso C., Toward semantic digital libraries: exploiting Web 2.0 and semantic services in cultural heritage. J Digital Inform Berlin; 2009; 6 (10). Available at: (accessed September 29, 2010).
    • (2009) J Digital Inform Berlin , vol.6 , Issue.10
    • Baruzzo, A.1    Casoto, P.2    Challapalli, P.3    Dattolo, A.4    Pudota, N.5    Tasso, C.6
  • 55
    • 76649115852 scopus 로고    scopus 로고
    • Encoding cultural heritage information for the semantic Web. Procedures for data integration through CIDOC-CRM mapping
    • Arnold D., Niccolucci F., Pletinckx D., Gool L.V., editors. Rome, Italy
    • Eide O, Felicetti A, Ore C, Andrea AD, Holmen J., Encoding cultural heritage information for the semantic Web. Procedures for data integration through CIDOC-CRM mapping. In:, Arnold D, Niccolucci F, Pletinckx D, Gool LV, editors. EPOCH conference on open digital cultural heritage systems. Rome, Italy; 2008. pp 1 - 7.
    • (2008) EPOCH Conference on Open Digital Cultural Heritage Systems , pp. 1-7
    • Eide, O.1    Felicetti, A.2    Ore, C.3    Andrea, A.D.4    Holmen, J.5
  • 57
    • 84884601048 scopus 로고    scopus 로고
    • Jeromedl'a semantic digital library
    • Golbeck J., Mika P., editors. Busan, South Korea: CEUR;. Vol. pp
    • Kruk SR, Woroniecki T, Gzella A, Dabrowski M., Jeromedl'a semantic digital library. In:, Golbeck J, Mika P, editors. Semantic Web challenge. Busan, South Korea: CEUR; 2007. Vol. 295. pp 139 - 150.
    • (2007) Semantic Web Challenge , vol.295 , pp. 139-150
    • Kruk, S.R.1    Woroniecki, T.2    Gzella, A.3    Dabrowski, M.4
  • 59
    • 57649158661 scopus 로고    scopus 로고
    • Harvana: Harvesting community tags to enrich collection metadata
    • New York: ACM
    • Hunter J, Khan I, Gerber A., Harvana: harvesting community tags to enrich collection metadata. In: ACM/IEEE-CS Joint Conf on Digital Libraries. New York: ACM; 2008. pp 147 - 156.
    • (2008) ACM/IEEE-CS Joint Conf on Digital Libraries , pp. 147-156
    • Hunter, J.1    Khan, I.2    Gerber, A.3
  • 61
    • 0036603927 scopus 로고    scopus 로고
    • Automatic extraction of document keyphrases for use in digital libraries: Evaluation and applications
    • Jones S, Paynter GW., Automatic extraction of document keyphrases for use in digital libraries: evaluation and applications. J Am Soc for Inform Sci Technol 2002; 53 (8): 653 - 677.
    • (2002) J Am Soc for Inform Sci Technol , vol.53 , pp. 653-677
    • Jones, S.1    Paynter, G.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.