Search Results

Prior research suggested the empirical approach to indexing for fine arts based on users' search queries. This study examined the characteristics of user queries submitted to the library catalog of a fine arts academy, and compared users' search ...

This paper presents the results of academic papers that studied Russian academic journals between 2014 and 2024. Problems of the effective development of journals have been discussed intensively for the last 2 years. This is caused mainly by ...

Natural language expressions of time and numbers can be ambiguous (e.g., 2020s can refer to either 2021 or 2025), can be present at different granularities, or can be unbounded (e.g., more than ten percent). To match and retrieve such ambiguous temporal ...

Cloud data warehouses are today's standard for analytical query processing. Multiple cloud vendors offer state-of-the-art systems, such as Amazon Redshift. We have observed that customer workloads experience highly repetitive query patterns, i.e., users ...

The need to query complex interactions and relationships has motivated interest in property graph database platforms. For some graph applications, graph views are required to abstract the data, e.g., to capture individual-level vs. organization-level ...

We study the problem of temporal database indexing, i.e., indexing versions of a database table in an evolving database. With the larger and cheaper memory chips nowadays, we can afford to keep track of all versions of an evolving table in memory. This ...

Interactive applications require processing tens to hundreds of concurrent analytical queries within tight time constraints. In such setups, where high concurrency causes contention, work-sharing databases are critical for improving scalability and for ...

The end-to-end lookup latency of a hierarchical index---such as a B-tree or a learned index---is determined by its structure such as the number of layers, the kinds of branching functions appearing in each layer, the amount of data we must fetch from ...

In its earliest state, F-TEMPO (Full-Text searching of Early Music Prints Online) enabled searching in the musical content of about 30,000 page-images of early printed music from the British Library’s Early Music Online collection (GB-Lbl). The images ...

Sports analytics is about observing, understanding and describing the game in an intelligent manner. In practice, this requires a fully automated, robust end-to-end pipeline: from visual input, to player and group activities, to player and team ...

A recent line of work in first-stage Neural Information Retrieval has focused on learning sparse lexical representations instead of dense embeddings. One such work is SPLADE, which has been shown to lead to state-of-the-art results in both the in-domain ...

Search engines are vulnerable to attacks against indexing and searching via text encoding manipulation. By imperceptibly perturbing text using uncommon encoded representations, adversaries can control results across search engines for specific search ...

Recent advances in cross-modal multimedia data analysis necessarily require efficient similarity search on the scales of hundreds of millions of high-dimensional vectors. We address this task by proposing the CRANBERRY algorithm that specifically ...

In computational biology, k-mers and edit distance are fundamental concepts. However, little is known about the metric space of all k-mers equipped with the edit distance. In this work, we explore the structure of the k-mer space by studying its ...

Keyword search, which finds the documents containing all the keywords supplied by a user, has proved to be an effective approach for querying non-structured information that does not conform to any pre-set schemas. In the last two decades, a vast amount ...

We propose a video retrieval system for everyday scenes with common objects. Our system exploits the predictions made by deep neural networks for image understanding tasks using natural language processing (NLP). It aims to capture the relationships ...

Due to the advancement of geo-positioning technology, the terrain data has become increasingly popular and has drawn a lot of research effort from both academia and industry. The distance computation on the terrain surface is a fundamental and important ...

Researchers have had much recent success with ranking models based on so-called learned sparse representations generated by transformers. One crucial advantage of this approach is that such models can exploit inverted indexes for top-k retrieval, thereby ...

Recently, after successfully revolutionising financial services, blockchain is now transforming a variety of other domains. However, current working abstraction requires technology to have more maturity from several key perspectives, and linear data ...

Queries of multi-TB Mass Spectrometry (MS) repositories provide deep insights into biological processes and pose challenging data processing problems. The key bottleneck for running these queries is the number of small random reads. Byte-addressable ...