Fusion cubes: Towards self-service business intelligence
Self-service business intelligence is about enabling non-expert users to make well-informed
decisions by enriching the decision process with situational data, ie, data that have a narrow …
decisions by enriching the decision process with situational data, ie, data that have a narrow …
Comparing LDA and LSA topic models for content-based movie recommendation systems
S Bergamaschi, L Po - Web Information Systems and Technologies: 10th …, 2015 - Springer
We propose a plot-based recommendation system, which is based upon an evaluation of
similarity between the plot of a video that was watched by a user and a large amount of plots …
similarity between the plot of a video that was watched by a user and a large amount of plots …
Effectiveness of automatic translations for cross-lingual ontology mapping
Accessing or integrating data lexicalized in different languages is a challenge. Multilingual
lexical resources play a fundamental role in reducing the language barriers to map concepts …
lexical resources play a fundamental role in reducing the language barriers to map concepts …
Comparing topic models for a movie recommendation system
S Bergamaschi, L Po, S Sorrentino - International Conference on …, 2014 - scitepress.org
Recommendation systems have become successful at suggesting content that are likely to
be of interest to the user, however their performance greatly suffers when little information …
be of interest to the user, however their performance greatly suffers when little information …
An ontological approach to knowledge building by data integration
SF Pileggi, H Crain, SB Yahia - … , Amsterdam, The Netherlands, June 3–5 …, 2020 - Springer
This paper discusses the uncertainty in the automation of knowledge building from
heterogeneous raw datasets. Ontologies play a critical role in such a process by providing a …
heterogeneous raw datasets. Ontologies play a critical role in such a process by providing a …
Transforming unstructured natural language descriptions into measurable process performance indicators using hidden markov models
Monitoring process performance is an important means for organizations to identify
opportunities to improve their operations. The definition of suitable Process Performance …
opportunities to improve their operations. The definition of suitable Process Performance …
Uncertainty in Automated Ontology Matching: Lessons from an Empirical Evaluation
Data integration is considered a classic research field and a pressing need within the
information science community. Ontologies play a critical role in such processes by …
information science community. Ontologies play a critical role in such processes by …
Keyword search over relational databases: Issues, approaches and open challenges
In this paper, we overview the main research approaches developed in the area of Keyword
Search over Relational Databases. In particular, we model the process for solving keyword …
Search over Relational Databases. In particular, we model the process for solving keyword …
Gold standard based evaluation of ontology learning techniques
A growing attention has been paid to the ontology learning domain. This is due to its
importance for overcoming the limits of manual ontology building. Thus, ontology evaluation …
importance for overcoming the limits of manual ontology building. Thus, ontology evaluation …
Word-sense disambiguation for ontology mapping: Concept disambiguation using virtual documents and information retrieval techniques
Ontology mapping is a crucial task for the facilitation of information exchange and data
integration. A mapping system can use a variety of similarity measures to determine concept …
integration. A mapping system can use a variety of similarity measures to determine concept …