schema matching is a critical step in many applications, such as data warehouse loading, online analytical process (olap), data mining, semantic web [2] and schema integration. this task is defined for finding the semantic correspondences between elements of two schemas. recently, schema matching has found considerable interest in both research and practice. in this paper, we present a new impr...

Across 4,151 participants, the authors demonstrate a novel framing effect, attribute matching, whereby matching a salient attribute of a decision frame with that of a decision's options facilitates decision-making. This attribute matching is shown to increase decision confidence and, ultimately, consensus estimates by increasing feelings of metacognitive ease. In Study 1, participants choosing ...

This study examined the informetric properties of intervallic n-grams as derived from a database of 9354 folksongs. The informetric properties of the melodies were compared and contrasted to those of traditional text. Understanding these similarities/dissimilarities can play a vital role in the creation of a successful Music Information Retrieval (MIR) system. Various styles of n-gram creation ...

The Social Security Administration has created a 10-percent sample data base of blind and disabled recipients from the Supplemental Security Income (SSI) program. Codes showing the primary medical diagnosis were obtained for the sample by matching several files, and by imputing codes to sample cases where no diagnostic codes were found. The data base is updated each year by repeating this match...

Using an open-source, Java toolkit of name-matching methods, we experimentally compare string distance metrics on the task of matching entity names. We investigate a number of different metrics proposed by different communities, including edit-distance metrics, fast heuristic string comparators , token-based distance metrics, and hybrid methods. Overall, the best-performing method is a hybrid s...

Aggregate analysis, such as comparing country-wise sales versus global market share across product categories, is often complicated by the unavailability of common join attributes, e.g., category, across diverse datasets from different geographies or retail chains, even after disparate data is technically ingested into a common data lake. Sometimes this is a missing data issue, while in other c...

In current research, a possibilistic, hierarchical approach for identification of co-referent objects (also called object matching) has been proposed as a generalisation of the record linkage problem. This approach offers a natural view to the matching of co-referent objects and uses logical possibilistic operators to calculate a final result. The development of evaluation operators, to deliver...

BACKGROUND The Enhanced Matching System (EMS) is a probabilistic record linkage program developed by the tuberculosis section at Public Health England to match data for individuals across two datasets. This paper outlines how EMS works and investigates its accuracy for linkage across public health datasets. METHODS EMS is a configurable Microsoft SQL Server database program. To examine the ac...

Duplicate patient records in health information systems have received increased attention in recent time due to regulatory incentives to integrate the healthcare enterprise. Historically, most patient record matching systems have been limited to simple applications of the Fellegi-Sunter theory of record linkage with edit distance based string similarity measurements. String similarity approache...