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

Abstract

Abstract-To address public concerns that threat the sustainability of local societies, supporting public participation by sharing 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.

Collaborative Intelligence in Smart Cities: A Systematic Review

“…SOCIA: Linked open data of context behind local concerns for supporting public participation [25] Monitors social-cultural or consumer trends…”

The Use of Artificial Intelligence in eParticipation: Mapping Current Research

“…eParticipation initiatives revolve around various activities, with online political discourse maintaining a prominent position. The relevant research focuses on analyzing citizens' online discussions to discern their opinions [67,74]; on introducing new platforms, technologies, or techniques for facilitating discussions [71,78]; or both [51]. Theoretical investigations into the role of algorithms in online discussions [41], as well as design practices of online discussion platforms [79], constitute other research objectives.…”

“…These technologies range from chatbots [77] to text analysis techniques [49,58,63,72,80] and ePetition assistance systems [86]. Moreover, proposals for eParticipation platforms addressing both governments and citizens are put forth [51,60,74,78]. Recommendations for government adoption of social media platforms based on citizen message analyses are also made [68,83].…”

“…Paper ID Deliberative [42,48,55,61,64,65,69,71,79,81,86] Democratic [41,44,50,54,65,81,85] Civic Engagement [41,44,47,[49][50][51][53][54][55]58,60,63,65,66,[68][69][70]74,76,[78][79][80][81][82][83]85,86]…”

A linked open data based system utilizing structured open innovation process for addressing collaboratively public concerns in regional societies

“…We use SOCIA (Social Opinions and Concerns for Ideal Argumentation) resource description framework (RDF) ontology to build linked data [14]. Firstly, SOCIA links the background context to the goal data, secondly it describes the relations between entities and defines their structure.…”