Process Query Language: Design, Implementation, and Evaluation
Organizations can benefit from the use of practices, techniques, and tools from the area of business process management. Through the focus on processes, they create process models that require management, including support for versioning, ...
Secure multi-dimensional data retrieval with access control and range query in the cloud
Outsourcing data to the cloud offers various advantages, such as improved reliability, enhanced flexibility, accelerated deployment, and so on. However, data security concerns arise due to potential threats such as malicious attacks and internal ...
Enterprise sellers’ satisfaction with business-to-business cross-border e-commerce platforms: Alibaba.com as an example
Seller satisfaction of using a cross-border e-commerce (CBEC) platform is crucial for the platform's continual use by sellers. Furthermore, seller satisfaction is an evaluation reference for companies developing a CBEC business strategy. In this ...
Model repair supported by frequent anomalous local instance graphs
Model repair techniques aim at automatically updating a process model to incorporate behaviors that are observed in reality but are not compliant with the original model. Most state-of-the-art techniques focus on the fitness of the repaired ...
An improved context-aware weighted matrix factorization algorithm for point of interest recommendation in LBSN
The point of interest (POI) recommendation algorithm in location based social network (LBSN) can assist people to find more appealing locations and satisfy their specific demands. However, it is challengeable to infer user’s preference due to the ...
ArZiGo: A recommendation system for scientific articles
The large number of scientific publications around the world is increasing at a rate of approximately 4%–5% per year. This fact has resulted in the need for tools that deal with relevant and high-quality publications. To address this necessity, ...
Highlights
- A web system for the search, management, and recommendation of scientific articles.
- A hybrid and multidisciplinary scientific article recommendation system.
- A modular and scalable recommendation system.
- Use of the Semantic ...
SuperGuardian: Superspreader removal for cardinality estimation in data streaming
Measuring flow cardinality is one of the fundamental problems in data stream mining, where a data stream is modeled as a sequence of items from different flows and the cardinality of a flow is the number of distinct items in the flow. Many ...
A survey for managing temporal data in RDF
The Internet serves not only as a platform for communication, transactions, and cloud storage, but also as a vast knowledge store where both people and machines can create, manipulate, infer, and utilize data and knowledge. The Semantic Web was ...
Filtering with relational similarity
For decades, the success of the similarity search has been based on detailed quantifications of pairwise similarities of objects. Currently, the search features have become much more precise but also bulkier, and the similarity computations are ...
Highlights
- We formalise relational similarity search based on comparisons of triplets of objects.
- Our base implementation for Euclidean and Cosine spaces delivers top results.
- Filtering of 99.9% out of 1M 4096-dim. vectors on SSD in 127 ms ...
Enhancing business process simulation models with extraneous activity delays
Business Process Simulation (BPS) is a common approach to estimate the impact of changes to a business process on its performance measures. For example, it allows us to estimate what would be the cycle time of a process if we automated one of its ...
Repairing raw metadata for metadata management
- Comprehensive investigation of metadata complexities in online portals and data repositories.
- Automating layout preparation to streamline metadata files for accurate element detection.
- Improving metadata structural quality through ...
With the exponential growth of data production, the generation of metadata has become an integral part of the process. Metadata plays a crucial role in facilitating enhanced data analytics, data integration, and resource management by offering ...
Paraconsistent reasoning for inconsistency measurement in declarative process specifications
Inconsistency is a core problem in fields such as AI and data-intensive systems. In this work, we address the problem of measuring inconsistency in declarative process specifications, with an emphasis on linear temporal logic (LTL). As we will ...
Highlights
- We present an approach for measuring inconsistency in declarative process specifications.
- We use Linear Temporal Logic on fixed traces (LTLff) and a paraconsistent semantics.
- We develop a series of “time-sensitive” inconsistency ...