Linking Open Descriptions of Social Events (LODSE): A New Ontology for Social Event Classification

Rodrigues, Marcelo Cavalcanti; Silva, Rodrigo Rocha; Bernardino, Jorge

doi:10.3390/info9070164

Cited by 7 publications

(5 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using an ontology to express events can represent their internal structure and dynamics as well as their semantics to achieve further reasoning [9,10]. Research on event ontology has made some progress, confirming the feasibility of using ontology to represent events [11][12][13]. Thus, the event ontology can achieve modeling of typhoon spatiotemporal processes and express the dynamic characteristics of typhoon.…”

Section: Introductionmentioning

confidence: 91%

An Ontology-Based Knowledge Representation Method for Typhoon Events from Chinese News Reports

Chen,

Zheng,

et al. 2023

IJGI

View full text Add to dashboard Cite

Typhoons are destructive weather events. News media reports contain large amounts of typhoon information. Transforming this information into useful knowledge to provide a basis for mining typhoon knowledge and supporting disaster prevention and relief is urgently required to solve this problem. Knowledge representation can be used to address this problem, although it presents several challenges. These challenges lie in expressing the static and dynamic characteristics of typhoons and formalizing the knowledge representation method and making it suitable for machine processing. Moreover, the general Chinese time and space representation method is overly cumbersome for use in ontologies. The present study proposes an ontology-based typhoon event representation method that solves the representation problems of the typhoon static concept and dynamic features. Furthermore, it summarizes the fixed patterns of time and space in Chinese news and designs a time and space model suitable for typhoon event ontologies. From the ontology population, typhoon event ontology instances are created, and the typhoon event ontology model is applied to the analysis of typhoon processes, verifying the effectiveness of the typhoon event ontology model.

show abstract

Section: Introductionmentioning

confidence: 91%

An Ontology-Based Knowledge Representation Method for Typhoon Events from Chinese News Reports

Chen,

Zheng,

et al. 2023

IJGI

View full text Add to dashboard Cite

show abstract

“…Local events can also be determined by event ontologies. Most event ontologies are constructed manually or semiautomatically [4] [8] [17] [16]. Some approaches focus on using tweets to automatically generate an ontology via structured data or free text, but they are not event specific.…”

Section: Related Workmentioning

confidence: 99%

Coupling of semantic and syntactic graphs generated via tweets to detect local events

Rajaonarivo

Mine

Arakawa

2022

2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)

View full text Add to dashboard Cite

Local events are important for the local people, tourists and local authorities. However, information about them is limited, or even absent on official websites. We propose an approach to automatically generate a data graph on local events via social network and mobile positioning data. This graph is constructed by the research results of syntactic and semantic data collection and will be used for an intelligent local event recommendation application. The coupling of these two research results makes it possible to discover little-known events or places that are not in the Linked Open Data and at the same time to connect them to it. An online experiment was set up to evaluate the performance of the techniques used in the study on semantic data which concerns the automatic ontology generation. The results allow us to conclude that the performance of the Named Entity Recognition and the choice of threshold score in automatic ontology generation depend on the categories of detected words types.

show abstract

“…The authors of [18] present an ontology for Social Event Classification, named LODSE (Linking Open Description of Social Events). The basic idea of this ontology is to create a data model that allows the properties definition to describe social events and improve events classification.…”

Section: Related Workmentioning

confidence: 99%

Wine Ontology Influence in a Recommendation System

Oliveira

Silva

Bernardino

2021

BDCC

Self Cite

View full text Add to dashboard Cite

Wine is the second most popular alcoholic drink in the world behind beer. With the rise of e-commerce, recommendation systems have become a very important factor in the success of business. Recommendation systems analyze metadata to predict if, for example, a user will recommend a product. The metadata consist mostly of former reviews or web traffic from the same user. For this reason, we investigate what would happen if the information analyzed by a recommendation system was insufficient. In this paper, we explore the effects of a new wine ontology in a recommendation system. We created our own wine ontology and then made two sets of tests for each dataset. In both sets of tests, we applied four machine learning clustering algorithms that had the objective of predicting if a user recommends a wine product. The only difference between each set of tests is the attributes contained in the dataset. In the first set of tests, the datasets were influenced by the ontology, and in the second set, the only information about a wine product is its name. We compared the two test sets’ results and observed that there was a significant increase in classification accuracy when using a dataset with the proposed ontology. We demonstrate the general applicability of the methodology to other cases, applying our proposal to an Amazon product review dataset.

show abstract

Linking Open Descriptions of Social Events (LODSE): A New Ontology for Social Event Classification

Cited by 7 publications

References 13 publications

An Ontology-Based Knowledge Representation Method for Typhoon Events from Chinese News Reports

An Ontology-Based Knowledge Representation Method for Typhoon Events from Chinese News Reports

Coupling of semantic and syntactic graphs generated via tweets to detect local events

Wine Ontology Influence in a Recommendation System

Contact Info

Product

Resources

About