Verbalization of Trend Information － Verbalizing Trends －

SPARTIQULATION: Verbalizing SPARQL Queries

Much research has been done to combine the fields of Databases and Natural Language Processing. While many works focus on the problem of deriving a structured query for a given natural language question, the problem of query verbalization – translating a structured query into natural language – is less explored. In this work we describe our approach to verbalizing SPARQL queries in order to cre...

Trend Template: Mining Trends With a Semi-formal Trend Model

Predictions of uprising or falling trends are helpful in different scenarios in which users have to deal with huge amount of information in a timely manner,such as during financial analysis. This temporal aspect in various cases of data analysis requires novel data mining techniques. Assuming that a given set of data, e.g. web news, contains information about a potential trend, e.g. financial c...

Verbalizing Time-series Data: With an Example of Stock Price Trends

Interactive Information Visualization of Trend Information

This paper proposes the visualization cube as a reference model for spatiotemporal trend information. The interactive visualization system for earthquake trend information was proposed at MuST in NTCIR-6 workshop, which defines earthquake trend information as spatiotemporal information and designs the interaction between different views so that temporal and spatial trend information can be effe...

Verbalizing Business Rules: Part 8

Business rules should be validated by business domain experts, and hence specified using concepts and languages easily understood by business people. This is the eighth in a series of articles on expressing business rules formally in a high-level, textual language. The first article [4] discussed criteria for a business rules language, and verbalization of simple uniqueness and mandatory constr...