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Mostrando ítems 1-10 de 62
Artículo
Trinity: On Using Trinary Trees for Unsupervised Web Data Extraction
(IEEE Xplore, 2014-06)
Web data extractors are used to extract data from web documents in order to feed automated processes. In this article, we propose a technique that works on two or more web documents generated by the same server-side template ...
Artículo
Reverse engineering language product lines from existing DSL variants
(Elsevier, 2017)
The use of domain-specific languages (DSLs) has become a successful technique to develop complex sys tems. In this context, an emerging phenomenon is the existence of DSL variants, which are different versions of a DSL ...
Artículo
Predictive Monitoring of Business Processes: A Survey
(IEEE Computer Society, 2018)
Nowadays, process mining is becoming a growing area of interest in business process management (BPM). Process mining consists in the extraction of information from the event logs of a business process. From this information, ...
Artículo
Measuring Performance in Knowledge Intensive Processes
(ACM Digital Library, 2019)
Knowledge-Intensive Processes (KIPs) are processes whose execution is heavily dependent on knowledge workers performing various interconnected knowledge-intensive decision-making tasks. Among other characteristics, KIPs ...
Artículo
Roller: A novel approach to web information extraction
(Springer, 2016)
The research regarding web information extraction focuses on learning rules to extract some selected information from web documents. Many proposals are ad-hoc and cannot benefit from the advances in machine learning; ...
Artículo
LEAPME: Learning-based Property Matching with Embeddings
(Cornell University, 2020)
Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities from many sources. Matching and fusion of such entities require to also match and combine their ...
Artículo
Enriching User Reviews Through An Opinion Extraction System
(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2015)
Web sites based on User-Generated Content (UGC) have a potentially valuable applicability in a number of elds. In this work we carry out a study of the usefulness of these systems from the point of view of detecting the ...
Artículo
Tweet categorization by combining content and structural knowledge
(Elsevier, 2016)
Twitter is a worldwide social media platform where millions of people frequently express ideas and opinions about any topic. This widespread success makes the analysis of tweets an interesting and possibly lucrative task, ...
Artículo
Rationale for Timing of Follow-Up Visits to Assess Gluten-Free Diet in Celiac Disease Patients Based on Data Mining
(MDPI, 2021)
The assessment of compliance of gluten-free diet (GFD) is a keystone in the supervision of celiac disease (CD) patients. Few data are available documenting evidence-based follow-up frequency for CD patients. In this work ...
Artículo
Blockchain Smart Contract Meta-modeling
(River Publishers, 2021)
One of the key benefits of blockchain technology is its ability to keep a per manent, unalterable record of transactions. In business environments, where companies interact with each other without a centralized authority ...