DEEP BLOCK: A NOVEL BLOCKING APPROACH FOR ENTITY RESOLUTION USING DEEP LEARNING

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Javdani Delaram; RAHMANI HOSSEIN; Allahgholi Milad; Karimkhani Fatemeh

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Seminar Paper

Paper Information

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

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Title

DEEP BLOCK: A NOVEL BLOCKING APPROACH FOR ENTITY RESOLUTION USING DEEP LEARNING

Author(s)

Javdani Delaram | RAHMANI HOSSEIN | Allahgholi Milad | Karimkhani Fatemeh

Keywords

ENTITY RESOLUTION

BLOCKING

DEEP LEARNING

Abstract

ENTITY RESOLUTION REFERS TO THE PROCESS OF IDENTIFYING AND INTEGRATING RECORDS BELONGING TO UNIQUE ENTITIES. THE STANDARD METHODS ARE USING A RULE-BASED OR MACHINE LEARNING MODELS TO COMPARE AND ASSIGN A POINT, TO INDICATE THE STATUS OF MATCHING OR NON-MATCHING THE PAIR OF RECORDS. HOWEVER, A COMPREHENSIVE COMPARISON ACROSS ALL THE RECORDS PAIRS LEADS TO A SECOND-ORDER MATCHING COMPLEXITY. THEREFORE BLOCKING METHODS ARE USING BEFORE THE MATCHING, TO GROUP THE SAME ENTITIES INTO SMALL BLOCKS. THEN THE MATCHING OPERATION IS DONE COMPREHENSIVELY. SEVERAL BLOCKING METHODS PROVIDED TO EFFICIENTLY BLOCK THE INPUT DATA INTO MANAGEABLE GROUPS, INCLUDING THE TOKEN BLOCKING, THAT HOLDS RECORDS WITH A SIMILAR TOKEN IN THE SAME BLOCK. MOST OF THE PREVIOUS METHODS DID NOT TAKE ANY SEMANTIC CRITERIA INTO ACCOUNT. IN THIS PAPER, WE PROPOSE A NEW METHOD, CALLED DEEP BLOCK THAT USES DEEP LEARNING FOR THE TASK OF BLOCKING IN ENTITY RESOLUTION. DEEP BLOCK COMBINES SYNTACTIC AND SEMANTIC SIMILARITIES TO CALCULATE THE SIMILARITY BETWEEN RECORDS. WE HAVE EVALUATED THE DEEP BLOCK OVER THE REAL-WORLD DATASET AND COMPARED IT WITH THE EXISTING BLOCKING TECHNIQUE (TOKEN BLOCKING). OUR EXPERIMENTAL STUDY SHOWS THAT THE COMBINATION OF SEMANTIC AND SYNTACTIC SIMILARITY CAN CONSIDERABLY IMPROVE THE QUALITY OF BLOCKING. THE RESULTS SHOW THAT DEEP BLOCK OUTPERFORMS THE TOKEN BLOCKING METHOD IN AVERAGE 58. 5% WITH RESPECT TO PRECISION AND RECALL.

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APA: Copy

Javdani, Delaram, RAHMANI, HOSSEIN, Allahgholi, Milad, & Karimkhani, Fatemeh. (2019). DEEP BLOCK: A NOVEL BLOCKING APPROACH FOR ENTITY RESOLUTION USING DEEP LEARNING. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949053/en

Vancouver: Copy

Javdani Delaram, RAHMANI HOSSEIN, Allahgholi Milad, Karimkhani Fatemeh. DEEP BLOCK: A NOVEL BLOCKING APPROACH FOR ENTITY RESOLUTION USING DEEP LEARNING. 2019. Available from: https://sid.ir/paper/949053/en

IEEE: Copy

Delaram Javdani, HOSSEIN RAHMANI, Milad Allahgholi, and Fatemeh Karimkhani, “DEEP BLOCK: A NOVEL BLOCKING APPROACH FOR ENTITY RESOLUTION USING DEEP LEARNING,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2019, [Online]. Available: https://sid.ir/paper/949053/en

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