Open data initiatives continue to grow, and with them, the number of independent catalogs published across various platforms. Comparing these catalogs helps with tasks such as improving search quality, linking related datasets, and maintaining consistent metadata. This paper surveys methods for measuring similarity between open data catalogs. Approaches include matching structured elements like triples, applying hashing techniques to domain-specific terms, and using semantic representations to align catalog contents. Each method comes with different assumptions about how metadata is structured and how records can be matched. We also examine practical limitations, such as poor metadata quality, differences in schema, and limited availability of shared benchmarks. The final section outlines directions for future work, including cross-lingual catalog matching, automated metadata enrichment, and techniques that better scale to large catalog collections.
Predictive maintenance is a crucial strategy in smart industries and plays an important role in small and medium-sized enterprises (SMEs) to reduce the unexpected breakdown. Machine failures are due to unexpected events or anomalies in the system. Different anomaly...
The traditional “drug-event combination” approach is too simplistic for complex side effects such as behavioural changes. We must adjust our methodology to address this intricacy.
This paper presents a review of altmetrics or alternative metrics. This concept is defined as the creation and study of new indicators for analysing scientific and academic research activity based onWeb 2.0. The underlying premise is that variables such as mentions in blogs, numberof tweets or saves ofan articleby researchersin reference management systems, may be a valid measure of the use and impactof scientific publications. In this respect,these measuresare becoming particularly relevant, being at the centre of debate within the bibliometric community. Firstly,an explanation is given of the main platforms and indicators for this type of measurement. Subsequently,a study is undertaken of a selection of papers from the field of communication, comparing the number of citations received withtheir 2.0 indicators.The results show that the most cited articles within recent years also have significantly higher altmetric indicators. Next follows a review of the principal empirical studies undertaken, centering on the correlations between bibliometric and alternative indicators. To conclude, the main limitations of altmetrics are highlighted,alongside a reflective consideration of the role altmetrics may play in capturing the impactof research in Web 2.0 platforms.