Rule-Based Entity Resolution on Database with Hidden Temporal Information (Extended Abstract)

2019 ◽  
Author(s):  
Hongzhi Wang ◽  
Xiaoou Ding ◽  
Jianzhong Li ◽  
Hong Gao
Keyword(s):  
Entity Resolution ◽  
Temporal Information ◽  
Rule Based

AN EFFICIENT ENTITY RESOLUTION METHOD FOR LARGE RELATIONS

2013 ◽  
Vol 22 (01) ◽  
pp. 1350006
Author(s):  
YAKUN LI ◽  
HONGZHI WANG ◽  
HONG GAO ◽  
JIANZHONG LI
Keyword(s):  
Real World ◽  
Bloom Filter ◽  
Entity Resolution ◽  
Complex Data ◽  
Resolution Method ◽  
Rule Based ◽  
Record Matching ◽  
Data Objects ◽  
Sequence Rule

Entity resolution (ER) is to find the data objects referring to the same real-world entity. When ER is performed on relations, the crucial operator is record matching, which is to judge whether two tuples refer to the same real-world entity. Record matching is a longstanding issue. However, with massive and complex data in applications, current methods cannot satisfy the requirements. A Sequence-rule-based record matching (SeReMatching) is presented with the consideration of both which attributes should be used and their importance in record matching. We have changed the Bloom filter and therefore the checking speed is greatly increased. The best performance of the algorithm makes the complexity of entity resolution O (n). And extensive experiments were performed to evaluate our methods.

Rule-Based Method for Entity Resolution

2015 ◽  
Vol 27 (1) ◽  
pp. 250-263 ◽  
Author(s):  
Lingli Li ◽  
Jianzhong Li ◽  
Hong Gao
Keyword(s):  
Entity Resolution ◽  
Rule Based

Entity Resolution on Single Relation

2014 ◽  
pp. 87-122
Keyword(s):  
Entity Resolution ◽  
Basic Process ◽  
Rule Based ◽  
Resolution Rule ◽  
Basic Work ◽  
Speed Up ◽  
Similarity Computation ◽  
Rule Based Approach ◽  
Single Relation ◽  
Record Similarity

A basic work of entity resolution is to detect duplicate records in single relation. To address this problem, many different approaches for different areas are proposed. The basic process of entity resolution is attribute similarity computation. Based on the attribute similarity computation methods, many techniques for different areas are proposed to fulfill the process of entity resolution. Rule-based approach is one of the main techniques for entity resolution. To speed up the process of duplicate record detecting, the authors use techniques such as canopy and blocking. In this chapter, the authors focus on the record similarity computation, rule-based approach, similarity threshold computation, and blocking.

An effective weighted rule-based method for entity resolution

2018 ◽  
Vol 36 (3) ◽  
pp. 593-612 ◽  
Author(s):  
Hiba Abu Ahmad ◽  
Hongzhi Wang
Keyword(s):  
Entity Resolution ◽  
Rule Based

Using Conventional Articulation Tests With Highly Unintelligible Children

1992 ◽  
Vol 23 (1) ◽  
pp. 52-60 ◽  
Author(s):  
Pamela G. Garn-Nunn ◽  
Vicki Martin
Keyword(s):  
Test Results ◽  
Phonological Processes ◽  
Rule Based ◽  
Severity Level ◽  
Error Sensitivity ◽  
Conventional Tests ◽  
Severity Levels ◽  
Conventional Test ◽  
Impaired Children

This study explored whether or not standard administration and scoring of conventional articulation tests accurately identified children as phonologically disordered and whether or not information from these tests established severity level and programming needs. Results of standard scoring procedures from the Assessment of Phonological Processes-Revised, the Goldman-Fristoe Test of Articulation, the Photo Articulation Test, and the Weiss Comprehensive Articulation Test were compared for 20 phonologically impaired children. All tests identified the children as phonologically delayed/disordered, but the conventional tests failed to clearly and consistently differentiate varying severity levels. Conventional test results also showed limitations in error sensitivity, ease of computation for scoring procedures, and implications for remediation programming. The use of some type of rule-based analysis for phonologically impaired children is highly recommended.

Haunted by a Doppelgänger

2014 ◽  
Vol 61 (1) ◽  
pp. 12-22 ◽  
Author(s):  
Bettina von Helversen ◽  
Stefan M. Herzog ◽  
Jörg Rieskamp
Keyword(s):  
Relevant Information ◽  
Psychological Research ◽  
Decision Makers ◽  
Human Judgment ◽  
Rule Based ◽  
New Employees ◽  
High Performing ◽  
Facial Similarity ◽  
Similarity Effect ◽  
Judgment Strategy

Judging other people is a common and important task. Every day professionals make decisions that affect the lives of other people when they diagnose medical conditions, grant parole, or hire new employees. To prevent discrimination, professional standards require that decision makers render accurate and unbiased judgments solely based on relevant information. Facial similarity to previously encountered persons can be a potential source of bias. Psychological research suggests that people only rely on similarity-based judgment strategies if the provided information does not allow them to make accurate rule-based judgments. Our study shows, however, that facial similarity to previously encountered persons influences judgment even in situations in which relevant information is available for making accurate rule-based judgments and where similarity is irrelevant for the task and relying on similarity is detrimental. In two experiments in an employment context we show that applicants who looked similar to high-performing former employees were judged as more suitable than applicants who looked similar to low-performing former employees. This similarity effect was found despite the fact that the participants used the relevant résumé information about the applicants by following a rule-based judgment strategy. These findings suggest that similarity-based and rule-based processes simultaneously underlie human judgment.

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