SOCIA: Linked Open Data of Context behind Local Concerns for Supporting Public Participation

Abstract

To address public concerns that threat the sustain-ability of local societies, supporting public participation by shar-ing the background context behind these concerns is essentially important. We designed a SOCIA ontology, which was a linked data model, for sharing context behind local concerns with two approaches: (1) structuring Web news articles and microblogs about local concerns on the basis of geographical regions and events that were referred to by content, and (2) structuring public issues and their solutions as public goals. We moreover built a SOCIA dataset, which was a linked open dataset, on the basis of the SOCIA ontology. Web news articles and microblogs related to local concerns were semi-automatically gathered and structured. Public issues and goals were manually extracted from Web content related to revitalization from the Great East Japan Earthquake. Towards more accurate extraction of public concerns, we investigated feature expressions for extracting public concerns from microblogs written in Japanese. To address a technical issue about sample selection bias in our microblog corpus, we formulated a metric in mining feature expressions, i.e., bias-penalized information gain (BPIG). Furthermore, we developed a prototype of a public debate support system that utilized the SOCIA dataset and formulated the similarity between public goals for a goal matching service to facilitate collaboration.

Authors and Affiliations

Shun Shiramatsu, Tadachika Ozono, Toramatsu Shintani

Keywords

Related Articles

Helpful Statistics in Recognizing Basic Arabic Phonemes

The recognition of continuous speech is one of the main challenges in the building of automatic speech recognition (ASR) systems, especially when it comes to phonetically complex languages such as Arabic. An ASR system s...

Video Summarization: Survey on Event Detection and Summarization in Soccer Videos

In today's world, the rapid development of digital video and editing technology has led to fast growing of video data, creating the need for effective and advanced techniques for analysis and video retrieval, as multimed...

Assessing Trends of Existing Research Contribution Towards Internet-of-Things

With the growing demands of system automation, technology integration, and non-human intervention technique, Internet-of-Things (IoT) has evolved as a boon and value-added services over pervasive computing. IoT comprises...

An Enhanced Approach for Detection and Classification of Computed Tomography Lung Cancer

The paper presents approaches for nodule detection and extraction in axial lung computed tomography. The goal is to detect correctly pulmonary nodule to recognize and screen lung cancer patients. The pulmonary nodule det...

Simulation of Packet Telephony in Mobile Adhoc Networks Using Network Simulator

Packet Telephony has been regarded as an alternative to existing circuit switched fixed telephony. To propagate new idea regarding Packet Telephony researchers need to test their ideas in real or simulated environment. M...

Download PDF file
  • EP ID EP153067
  • DOI 10.14569/IJACSA.2015.060238
  • Views 122
  • Downloads 0

How To Cite

Shun Shiramatsu, Tadachika Ozono, Toramatsu Shintani (2015). SOCIA: Linked Open Data of Context behind Local Concerns for Supporting Public Participation. International Journal of Advanced Computer Science & Applications, 6(2), 268-277. https://europub.co.uk/articles/-A-153067