Titlebook: Recent Advances and Future Prospects in Knowledge, Information and Creativity Support Systems; Selected Revised Pap Thanaruk Theeramunkong,

愚笨

2194-5357 the fields of knowledge engineering and science, information.This book includes carefully selected papers presented at the 10th International Conference on Knowledge, Information and Creativity Support Systems (KICCS 2015), which was held in Phuket, Thailand, on November 12–14, 2015. Most of the pap

輕而薄

Detecting TV Program Highlight Scenes Using Twitter Data Classified by Twitter User Behavior,ogram digest generation based on Twitter data have developed TV event detection methods that analyze the frequency time series of tweets that users made while watching a given TV program; however, in most of the previous studies, differences in how Twitter is used, e.g., sharing information versus c

流眼淚

和平

Open Data Integration for Lanna Cultural Heritage e-Museums,severance of cultural heritage. Several cultural heritage institutions have their own large databases with different metadata schemas. Linked Open Data is a mechanism of publishing structured data that allows metadata to be connected. This paper presents a methodology for integrating, converting Lan

Cacophonous

RDF Dataset Management Framework for Data.go.th,sets. Open data is valuable when the data is reused, shared and integrated. Converting the existing datasets to the RDF format can increase the values of these datasets. In this paper, we present the architecture and processes for RDF dataset management for Data.go.th based on OAM Framework which su

漂浮

grovel

事先無準(zhǔn)備

Ontology-Based Framework to Support Recommendation Rule Management Using Spreadsheet, data. Rule creation is a critical process in supporting knowledge base building and typically must rely on knowledge engineers. This paper describes an ontology-based framework to support knowledge engineers and experts in managing recommendation rules using a spreadsheet application by using their

GIBE

Factuality Classification Using Multi-facets Based on Elementary Discourse Units for News Articles,ding information extraction, textual entailment, finding semantic uncertainty and certainty, or fact extraction. In this paper, we propose an approach to improve factuality classification by analyzing information in Elementary Discourse Units (EDUs) and their relations. We use news articles as our c

backdrop

A Recommender of Transportation Planning in Campus Using Ontology,ble solution. In a current state, a headcount of people in a building in map-based visualization and a recommendation of shuttle bus management according to student movement are developed. Instances of actual data from Walailak University were inputted for our test case scenario. The map-based visua