Semantic-Aware Blocking for Entity Resolution

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

BLAST: a Loosely Schema-aware Meta-blocking Approach for Entity Resolution

Identifying records that refer to the same entity is a fundamental step for data integration. Since it is prohibitively expensive to compare every pair of records, blocking techniques are typically employed to reduce the complexity of this task. These techniques partition records into blocks and limit the comparison to records co-occurring in a block. Generally, to deal with highly heterogeneou...

متن کامل

Comparative Analysis of Approximate Blocking Techniques for Entity Resolution

Entity Resolution is a core task for merging data collections. Due to its quadratic complexity, it typically scales to large volumes of data through blocking: similar entities are clustered into blocks and pair-wise comparisons are executed only between co-occurring entities, at the cost of some missed matches. There are numerous blocking methods, and the aim of this work is to offer a comprehe...

متن کامل

MFIBlocks: An effective blocking algorithm for entity resolution

Entity resolution is the process of discovering groups of tuples that correspond to the same real-world entity. Blocking algorithms separate tuples into blocks that are likely to contain matching pairs. Tuning is a major challenge in the blocking process and in particular, high expertise is needed in contemporary blocking algorithms to construct a blocking key, based on which tuples are assigne...

متن کامل

Towards a Scalable and Robust Entity Resolution -Approximate Blocking with Semantic Constraints

Entity resolution, or record linkage, is the process that identifies data records over one or more datasets which refer to the same real world entity. To deal with large datasets, many real-life applications require scalable and high-quality entity resolution techniques. Blocking techniques can help to scale-up the entity resolution process. Locality sensitive hashing (LSH) is an approximate bl...

متن کامل

Dynamic Similarity-Aware Inverted Indexing for Real-Time Entity Resolution

Entity resolution is the process of identifying groups of records in a single or multiple data sources that represent the same real-world entity. It is an important tool in data de-duplication, in linking records across databases, and in matching query records against a database of existing entities. Most existing entity resolution techniques complete the resolution process offline and on stati...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering

سال: 2016

ISSN: 1041-4347

DOI: 10.1109/tkde.2015.2468711