We demonstrate ModsNet, a search tool for pre-trained data science MODels recommendatioN using Examplar daTaset. Given a set of pre-trained data science models, an "example" input dataset, and a user-specified performance metric, ModsNet answers the ...

Time series database systems (TSDBs) are prevalent in many applications ranging from monitoring and IoT devices to scientific research. Those systems are specifically designed to efficiently manage data indexed by time. Because of the variety of ...

Time Series Generation (TSG) is essential in many industries for generating synthetic data that mirrors real-world characteristics. TSGBench has advanced the field by offering comprehensive evaluations and unique insights for selecting suitable TSG ...

Indexes are important data structures for database tuning. However, finding the best indexes for a given workload is challenging. In this demonstration, we present our extensible open-source index selection evaluation platform and the corresponding ...

Index Advisor tools settle for sub-optimal index configurations based on greedy heuristics, owing to the computational hardness of index selection. We investigate here how this limitation can be addressed by leveraging the computing power offered by ...

The task of finding a user's utility function (representing the user's preference) by asking them to compare pairs of points through a series of questions, each requiring him/her to compare 2 points for choosing a more preferred one, to find the best ...

A plethora of question answering (QA) systems that retrieve answers to natural language questions from knowledge graphs have been developed in recent years. However, choosing a benchmark to accurately assess the quality of a question answering system is ...

Recently, there has been an increase in the number of knowledge graphs that can be only queried by experts. However, describing questions using structured queries is not straightforward for non-expert users who need to have sufficient knowledge about ...

The ability to let users search for products conveniently in product database is critical to the success of e-commerce. Although structured query languages (e.g. SQL) can be used to effectively access the product database, it is very difficult for end ...

The Transaction Processing Performance Council (TPC) is a nonprofit organization founded in 1988 to define transaction processing and database benchmarks. Since then, the TPC has played a crucial role in providing the industry with relevant standards for ...

Set intersection is a fundamental operation in information retrieval and database systems. This paper introduces linear space data structures to represent sets such that their intersection can be computed in a worst-case efficient way. In general, given ...

Spinnaker is an experimental datastore that is designed to run on a large cluster of commodity servers in a single datacenter. It features key-based range partitioning, 3-way replication, and a transactional get-put API with the option to choose either ...

Modern information management applications often require integrating data from a variety of data sources, some of which may copy or buy data from other sources. When these data sources model a dynamically changing world (e.g., people's contact ...

In a publish-subscribe system based on filtering of XML documents subscribers specify their interests with profiles expressed in the XPath language. The system processes a stream of XML documents and delivers to subscribers a notification or content of ...

Many businesses offer their services to customers via Web-based application interfaces. Reasoning about execution flows of such applications is extremely valuable for companies. Such reasoning must often operate under terms of uncertainty and partial ...

Information integration is becoming a critical problem for both businesses and individuals. The data, especially the one that comes from the Web, is naturally incomplete, that is, some data values may be unknown or lost because of communication problems, ...

To carry out work assignments, small groups distributed within a larger enterprise or collaborative community often need to share documents among themselves while shielding those documents from others' eyes. In this situation, users need an indexing ...

With the rise of XML, the database community has been challenged by semi-structured data processing. Since the data type behind XML is the tree, state-of-the-art RDBMSs have learned to deal with such data (e. g., [18, 5, 6, 16]). This paper introduces a ...

An emerging class of database applications is characterized by frequent updates of low-dimensional data, e.g. coming from sensors that sample continuous real world phenomena. Traditional persistency requirements can be weakened in this setting of ...

So far, several approaches have been studied to bridge the problem of the Semantic Gap, the bottleneck in image and video retrieval. However, no approach is successful enough to increase retrieval performances significantly. One reason is the lack of ...