A SURVEY ON KNOWLEDGE EXTRACTION TECHNIQUES FOR WEB TABLES

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Keshvari Fini Parvin; Janfada Behrooz; MINAEI BIDGOLI BEHROUZ

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2019 | Issue:5

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Title

A SURVEY ON KNOWLEDGE EXTRACTION TECHNIQUES FOR WEB TABLES

Author(s)

Keshvari Fini Parvin | Janfada Behrooz | MINAEI BIDGOLI BEHROUZ

Keywords

WEB TABLES

ENTITY LINKING

TABLE ANNOTATION

NAMED ENTITY DISAMBIGUATION

RELATION EXTRACTION

Abstract

WEB TABLES ARE WORTHY SOURCES OF RELATIONAL INFORMATION. THE NUMBER OF HIGH-QUALITY TABLES WITH USEFUL RELATIONAL INFORMATION IS RAPIDLY INCREASING TO HUNDREDS OF MILLIONS. SOME SEARCH ENGINES USUALLY IGNORE MEANINGS OF ENTITIES AND RELATIONSHIPS IN INDEXING THUS THEY HAVE POOR PERFORMANCE IN TABULAR DATA TO A SUITABLE FIELD OF RESEARCH IS THE TRANSFORMATION OF WEB TABLES INTO MACHINE-READABLE KNOWLEDGE. WE FIRST STUDY OVERVIEW OF THE USE OF WEB TABLES IN DIFFERENT DOMAINS THEN FOCUS ON UNDERSTANDING KNOWLEDGE OF WEB TABLES. THE RESULTS INDICATE THAT BY COMBINING OLD INFORMATION EXTRACTION TECHNIQUES, AND TABLE FEATURES AND GENERAL INFERENCE MODELS CAN EXTRACT KNOWLEDGE FROM WEB TABLES.

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APA: Copy

Keshvari Fini, Parvin, Janfada, Behrooz, & MINAEI BIDGOLI, BEHROUZ. (2019). A SURVEY ON KNOWLEDGE EXTRACTION TECHNIQUES FOR WEB TABLES. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949071/en

Vancouver: Copy

Keshvari Fini Parvin, Janfada Behrooz, MINAEI BIDGOLI BEHROUZ. A SURVEY ON KNOWLEDGE EXTRACTION TECHNIQUES FOR WEB TABLES. 2019. Available from: https://sid.ir/paper/949071/en

IEEE: Copy

Parvin Keshvari Fini, Behrooz Janfada, and BEHROUZ MINAEI BIDGOLI, “A SURVEY ON KNOWLEDGE EXTRACTION TECHNIQUES FOR WEB TABLES,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2019, [Online]. Available: https://sid.ir/paper/949071/en

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