Exploring old pharmacopoeias is a promising way to find active ingredients that can be useful to design new drugs. Nevertheless, studying these texts is a laborious task for biologists. Therefore, an interdisciplinary project was undertaken: texts ...

Field-programmable gate arrays (FPGAs) have significant advantages in parallelism and energy efficiency over CPUs and GPUs and are widely deployed by many enterprises and cloud server providers nowadays. In this paper, we demonstrate $\mathsf{FGAQ}$, an FPGA-...$\mathsf{}$$\mathsf{}$$\mathsf{}$

Graph databases are used across several domains due to the intuitive structure of graphs. They are well-suited for storing document collections together with their interlinkages through metadata and annotations. Yet, querying such graphs requires ...

We propose a novel graph database system that overcomes existing limitations by integrating relational databases, unifying RDF and property graph data models, and incorporating large language models and natural language processing. Graphologue, ...

Nowadays, visual data (image, videos, and feature vectors) is generated in many applications, such as surveillance or automated retail stores. The fast rate of accumulating such visual data makes the task of analyzing it or getting insights a tedious ...

The Polyglot Asian Medicine system hosts a research database of Asian traditional and herbal medicines, represented as a knowledge graph and implemented in a Neo4j graph database system. The current coverage of the database is mainly traditional ...

The graph data model is increasingly used in practice due to its flexibility in modeling complex real-life data. However, some security features (e.g., access control) are not receiving sufficient attention from researchers since that graph ...

In order to improve the knowledge service ability of the library and meet the user's demand for querying Chinese technology literature in natural language. This article proposes a two-stage method to implement the question answering system for Chinese ...

The manufacturing industry is currently experiencing a wave of digitalization and intelligent transformation. With continuous upgrades of production equipment and systems, the complexity and diversity of production line faults are continuously ...

Fuzzy path query is widely used to find the deep association of entities in many real-world applications such as knowledge graph answering and social network analysis. However, existing engines fail to support fuzzy path queries on large property ...$$$$$$

An increasing number of applications are modeling data as property graphs. In various scenarios, the scale of data can differ significantly, ranging from thousands of nodes/relationships to tens of billions of nodes/relationships. While ...

In many applications, data are organized as graphs (e.g., social network and smart city). There could be unstructured data on such a graph, for example, the users’ avatars and images included in a post. It is natural to think of these unstructured ...

Ontology building can greatly influence the development cycle of an information system and enhance interoperability among its constituent elements. Throughout the projects we have been developing we have detected, by studying the current ...

This paper reports on findings from a project on information integration from multiple Business Information Systems with the help of a user-specific Enterprise Knowledge Graph. Most ERP systems currently in use store information objects in ...

Nowadays, numerous organisations of different dimensions and business sectors operate in highly challenging and dynamic environments, wherein the supporting information systems (IS) are becoming increasingly complex. In this context, assistive ...

The rapidly increasing use of graph databases for a wide variety of applications demands flexible authorization and fine-grained access control at the level of attributes associated with the basic entities (i.e., accessing subject, requested resource, ...

Recently, several works have studied the problem of view selection in graph databases. However, existing methods cannot fully exploit the graph properties of views, e.g., supergraph views and common subgraph views, which leads to a low view utility and ...

Graph is a ubiquitous structure representing entities and their relationships applied in many areas such as social networks, web graphs, and biological networks. One of the fundamental tasks in graph analytics is to investigate the relations ...

The data form in the graph data is divided into RDF and property graph. RDF appeared earlier, but it is generally larger and the data is more redundant. In the property graph, a graph is defined by properties, nodes and edges. It is easier to set ...

The property graph (PG) model is one of the most general graph data model and has been widely adopted in many graph analytics and processing systems. However, existing systems suffer from poor performance in terms of both latency and throughput for ...