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Volumn , Issue , 2011, Pages 227-236

Scalable knowledge harvesting with high precision and high recall

Author keywords

Information extraction; Knowledge harvesting; Scalability

Indexed keywords

BUILDING BLOCKES; CONSTRAINT REASONING; CONSTRAINT-BASED REASONING; DISTRIBUTED PLATFORMS; HIGH PRECISION; HIGH QUALITY; INFORMATION EXTRACTION; ITEM SETS; KNOWLEDGE HARVESTING; LARGE KNOWLEDGE BASIS; MAX-SAT; NOISY PATTERNS; REASONER; SCALABLE ARCHITECTURES; SCALABLE SYSTEMS; STATE-OF-THE-ART APPROACH; WEB SOURCES;

EID: 79952393750     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1935826.1935869     Document Type: Conference Paper
Times cited : (170)

References (38)
  • 1
    • 79952390743 scopus 로고    scopus 로고
    • First International Workshop on Automatic Knowledge Base Construction (AKBC), Grenoble, France, 2010
    • First International Workshop on Automatic Knowledge Base Construction (AKBC), Grenoble, France, 2010. akbc.xrce.xerox.com
  • 2
    • 48349101047 scopus 로고    scopus 로고
    • Snowball: Extracting relations from large plain-text collections
    • E. Agichtein, L. Gravano. Snowball: extracting relations from large plain-text collections. ACM DL, 2000.
    • (2000) ACM DL
    • Agichtein, E.1    Gravano, L.2
  • 3
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • R. Agrawal, T. Imielinski, A.N. Swami. Mining Association Rules between Sets of Items in Large Databases. SIGMOD, 1993.
    • (1993) SIGMOD
    • Agrawal, R.1    Imielinski, T.2    Swami, A.N.3
  • 6
    • 0003146263 scopus 로고    scopus 로고
    • Extracting patterns and relations from the World Wide Web
    • S. Brin. Extracting patterns and relations from the World Wide Web. WebDB, 1998.
    • (1998) WebDB
    • Brin, S.1
  • 8
    • 84858649383 scopus 로고    scopus 로고
    • Extracting and querying a comprehensive web database
    • M. J. Cafarella. Extracting and querying a comprehensive web database. CIDR, 2009.
    • (2009) CIDR
    • Cafarella, M.J.1
  • 12
    • 33745650646 scopus 로고    scopus 로고
    • Text2Onto - A framework for ontology learning and data-driven change discovery
    • P. Cimiano, J. Völker. Text2Onto - a framework for ontology learning and data-driven change discovery. NLDB, 2005.
    • (2005) NLDB
    • Cimiano, P.1    Völker, J.2
  • 13
    • 73649114265 scopus 로고    scopus 로고
    • MapReduce: A flexible data processing tool
    • J. Dean, S. Ghemawat. MapReduce: a flexible data processing tool. Commun. ACM 53(1), 2010.
    • (2010) Commun. ACM , vol.53 , Issue.1
    • Dean, J.1    Ghemawat, S.2
  • 15
    • 79952384509 scopus 로고    scopus 로고
    • Markov logic: An interface layer for artificial intelligence
    • P. Domingos, D. Lowd. Markov Logic: An Interface Layer for Artificial Intelligence. Morgan & Claypool, 2009.
    • (2009) Morgan & Claypool
    • Domingos, P.1    Lowd, D.2
  • 17
    • 67649653779 scopus 로고    scopus 로고
    • Join optimization of information extraction output: Quality matters!
    • A. Jain, P. G. Ipeirotis, A. Doan, L. Gravano. Join optimization of information extraction output: Quality matters! ICDE, 2009.
    • (2009) ICDE
    • Jain, A.1    Ipeirotis, P.G.2    Doan, A.3    Gravano, L.4
  • 18
    • 0030197678 scopus 로고    scopus 로고
    • A new approach to the minimum cut problem
    • D.R. Karger, C. Stein. A New Approach to the Minimum Cut Problem. J. ACM 43(4), 1996.
    • (1996) J. ACM , vol.43 , pp. 4
    • Karger, D.R.1    Stein, C.2
  • 19
    • 0002645158 scopus 로고    scopus 로고
    • A parallel algorithm for multilevel graph partitioning and sparse matrix ordering
    • G. Karypis, V. Kumar. A Parallel Algorithm for Multilevel Graph Partitioning and Sparse Matrix Ordering. J. Parallel Distrib. Comput. 48(1), 1998.
    • (1998) J. Parallel Distrib. Comput. , vol.48 , Issue.1
    • Karypis, G.1    Kumar, V.2
  • 20
    • 79952387029 scopus 로고    scopus 로고
    • Temporal information extraction
    • X Ling, D.S. Weld. Temporal Information Extraction. AAAI, 2010.
    • (2010) AAAI
    • Ling, X.1    Weld, D.S.2
  • 21
    • 79952375754 scopus 로고    scopus 로고
    • Find your Advisor: Robust Knowledge Gathering from the Web
    • N. Nakashole, M. Theobald, G. Weikum. Find your Advisor: Robust Knowledge Gathering from the Web. WebDB Workshop, 2010.
    • (2010) WebDB Workshop
    • Nakashole, N.1    Theobald, M.2    Weikum, G.3
  • 24
    • 84859064750 scopus 로고    scopus 로고
    • Modeling Relations and their Mentions without Labeled Text
    • S. Riedel, L. Yao, A. McCallum. Modeling Relations and their Mentions without Labeled Text. ECML, 2010.
    • (2010) ECML
    • Riedel, S.1    Yao, L.2    McCallum, A.3
  • 26
    • 77951560898 scopus 로고    scopus 로고
    • Declarative information extraction using Datalog with embedded extraction predicates
    • .A. Doan, J. F. Naughton, R. Ramakrishnan. Declarative information extraction using Datalog with embedded extraction predicates. VLDB, 2007.
    • (2007) VLDB
    • Doan, A.1    Naughton, J.F.2    Ramakrishnan, R.3
  • 27
    • 77951560898 scopus 로고    scopus 로고
    • Declarative information extraction using datalog with embedded extraction predicates
    • W. Shen, A. Doan, J.F. Naughton, R. Ramakrishnan. Declarative Information Extraction Using Datalog with Embedded Extraction Predicates. VLDB, 2007.
    • (2007) VLDB
    • Shen, W.1    Doan, A.2    Naughton, J.F.3    Ramakrishnan, R.4
  • 29
    • 0002623130 scopus 로고    scopus 로고
    • Mining sequential patterns: Generalizations and performance improvements
    • R. Srikant, R. Agrawal. Mining Sequential Patterns: Generalizations and Performance Improvements. EDBT, 1996.
    • (1996) EDBT
    • Srikant, R.1    Agrawal, R.2
  • 30
    • 35148867982 scopus 로고    scopus 로고
    • YAGO: A core of semantic knowledge
    • F. M. Suchanek, G. Kasneci, G. Weikum. YAGO: a core of semantic knowledge. WWW, 2007. www.mpi-inf.mpg.de/yago-naga/
    • (2007) WWW
    • Suchanek, F.M.1    Kasneci, G.2    Weikum, G.3
  • 31
    • 77951543836 scopus 로고    scopus 로고
    • SOFIE: A self-organizing framework for information extraction
    • F. M. Suchanek, M. Sozio, G. Weikum. SOFIE: a self-organizing framework for information extraction. WWW, 2009.
    • (2009) WWW
    • Suchanek, F.M.1    Sozio, M.2    Weikum, G.3
  • 32
    • 77952262853 scopus 로고    scopus 로고
    • Timely YAGO: Harvesting, querying, and visualizing temporal knowledge from Wikipedia
    • Y. Wang, M. Zhu, L. Qu, M. Spaniol, G. Weikum. Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia. EDBT, 2010.
    • (2010) EDBT
    • Wang, Y.1    Zhu, M.2    Qu, L.3    Spaniol, M.4    Weikum, G.5
  • 33
    • 77954751023 scopus 로고    scopus 로고
    • From information to knowledge: Harvesting entities and relationships from web sources
    • G. Weikum, M. Theobald. From Information to Knowledge: Harvesting Entities and Relationships from Web Sources. PODS, 2010.
    • (2010) PODS
    • Weikum, G.1    Theobald, M.2
  • 36
    • 57349152295 scopus 로고    scopus 로고
    • Automatically refining the Wikipedia infobox ontology
    • F. Wu, D. S. Weld. Automatically refining the Wikipedia infobox ontology. WWW, 2008.
    • (2008) WWW
    • Wu, F.1    Weld, D.S.2
  • 37
    • 84860504661 scopus 로고    scopus 로고
    • A seed-driven bottom-up machine learning framework for extracting relations of various complexity
    • F. Xu, H. Uszkoreit, H. Li. A seed-driven bottom-up machine learning framework for extracting relations of various complexity. ACL. 2007.
    • (2007) ACL.
    • Xu, F.1    Uszkoreit, H.2    Li, H.3
  • 38
    • 84865644621 scopus 로고    scopus 로고
    • StatSnowball: A statistical approach to extracting entity relationships
    • J. Zhu, Z. Nie, X. Liu, B. Zhang, J.-R. Wen. StatSnowball: a statistical approach to extracting entity relationships. WWW, 2009.
    • (2009) WWW
    • Zhu, J.1    Nie, Z.2    Liu, X.3    Zhang, B.4    Wen, J.-R.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.