Making Sense of the Epigenome Using Data Integration Approaches

Gunung Kawi Temple is one of the most monumental archaeological remains in Bali originating from the 10th to 11th century. This study aims to determine the values of local wisdom of ancient Balinese society related to the construction and presence of Gunung Kawi Temple. Data were collected through literature study and observation. Analysis was conducted through qualitative approach using data integration and explanation based on theory. Explanation is presented in narrative text. The results of this study indicate that the construction using the concept of cliff temple is an adaptation in addressing the limitations of geography and material resources. This adaptation is a form of ancient Balinese society local wisdom. This local wisdom is also reflected on the environmental preservation value which is related to the function of Gunung Kawi Temple as a religious sacred building. Keywords: gunung kawi, cliff temple, local wisdom, adaptation, enviromental preservation. Kompleks Candi Gunung Kawi merupakan salah satu tinggalan arkeologi paling monumental di Bali yang berasal dari abad ke-10 sampai 11 Masehi. Kajian ini bertujuan untuk mengetahui nilainilai kearifan lokal masyarakat Bali Kuno yang terkait dengan pembangunan dan keberadaan Kompleks Candi Gunung Kawi. Pengumpulan data dilakukan melalui studi kepustakaan dan observasi. Analisis dilakukan melalui pendekatan kualitatif dengan pengintegrasian data dan memaparkan simpulan-simpulan berdasarkan teori. Pembahasan kemudian disajikan dalam bentuk teks naratif. Hasil kajian ini menunjukkan bahwa pembangunan dengan konsep candi tebing merupakan bentuk adaptasi dalam menyikapi keterbatasan geografi dan sumber bahan baku. Adaptasi tersebut merupakan salah satu wujud kearifan lokal masyarakat Bali Kuno. Kearifan lokal tercermin juga dari nilai pelestarian lingkungan yang terkait dengan fungsi Kompleks Candi Gunung Kawi sebagai bangunan suci keagamaan.

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Data Integration Using Data Mining and SMS Reminder for Automation of Blood Donation

2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS) ◽

10.1109/i2cacis52118.2021.9495915 ◽

2021 ◽

Author(s):

Guhdar Youcif Izadeen ◽

Adnan Mohsin Abdulazeez ◽

Diyar Qader Zeebaree ◽

Dathar Abas Hasan ◽

Falah Y. H. Ahmed

Keyword(s):

Data Mining ◽

Data Integration ◽

Blood Donation ◽

Sms Reminder ◽

Using Data

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Using Data: Making Sense and Making Claims

Action Research in Education ◽

10.4135/9781473913967.n7 ◽

2014 ◽

pp. 107-128

Keyword(s):

Making Sense ◽

Using Data

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Making Sense of Heterogeneity in the Influence of Childhood Abuse, Mental Health, and Drug Use on Women’s Offending Pathways

Criminal Justice and Behavior ◽

10.1177/0093854818776687 ◽

2018 ◽

Vol 45 (10) ◽

pp. 1565-1587 ◽

Cited By ~ 9

Author(s):

Lisa Broidy ◽

Jason Payne ◽

Alex R. Piquero

Keyword(s):

Drug Use ◽

Life Course ◽

Childhood Abuse ◽

Internalizing Symptoms ◽

Age Of Onset ◽

Making Sense ◽

Pathways Model ◽

Female Offending ◽

Using Data ◽

The Life Course

Building from the developmental and life course literature and the feminist pathways literature, we aim to detail when and how exposure to abuse in childhood shapes female offending trajectories. Using data from 470 female offenders in Australia, our analyses assess whether internalizing symptoms and drug use help explain the link between early abuse and later offending among females. We then examine whether these links are most acute for females who onset early and evidence chronic involvement in offending. In support of the feminist pathways model, we find evidence for a pathway from early abuse to internalizing symptoms to drug use and then offending. In addition, and in line with the life course literature, we also find important differences in how these risks unfold across women, depending particularly on age of onset and offending chronicity. We reflect on the implications of our findings for theory and intervention with respect to female offending.

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A decision theory paradigm for evaluating identifier mapping and filtering methods using data integration

BMC Bioinformatics ◽

10.1186/1471-2105-14-223 ◽

2013 ◽

Vol 14 (1) ◽

Cited By ~ 2

Author(s):

Roger S Day ◽

Kevin K McDade

Keyword(s):

Data Integration ◽

Decision Theory ◽

Using Data ◽

Theory Paradigm

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Public Ideas: Their Varieties and Careers

American Sociological Review ◽

10.1177/0003122419846628 ◽

2019 ◽

Vol 84 (3) ◽

pp. 545-576 ◽

Cited By ~ 4

Author(s):

Tim Hallett ◽

Orla Stapleton ◽

Michael Sauder

Keyword(s):

Social Science ◽

Future Research ◽

The Public ◽

Cultural Approach ◽

The Past ◽

Making Sense ◽

Using Data ◽

Over Time ◽

Ebb And Flow ◽

Newspaper Articles

In light of ongoing concerns about the relevance of scholarly activities, we ask, what are public ideas and how do they come to be? More specifically, how do journalists and other mediators between the academy and the public use social science ideas? How do the various uses of these ideas develop over time and shape the public careers of these ideas? How do these processes help us understand public ideas and identify their various types? In addressing these questions, we make the case for a sociology of public social science. Using data from newspaper articles that engage with seven of the most publicly prominent social science ideas over the past 30 years, we make three contributions. First, we advance a pragmatic, cultural approach to understanding public ideas, one that emphasizes fit-making processes and applicative flexibility. Second, we define public ideas: social science ideas become public ideas when they are used as objects of interest (being the news), are used as interpretants (making sense of the news), and ebb and flow between these uses as part of an unfolding career. Third, we construct a typology of public ideas that provides an architecture for future research on public social science.

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A Framework Uniting Ontology-Based Geodata Integration and Geovisual Analytics

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi9080474 ◽

2020 ◽

Vol 9 (8) ◽

pp. 474

Author(s):

Linfang Ding ◽

Guohui Xiao ◽

Diego Calvanese ◽

Liqiu Meng

Keyword(s):

Data Integration ◽

Visual Analysis ◽

Open Data ◽

Data Access ◽

Heterogeneous Data ◽

Geospatial Data ◽

Making Sense ◽

Research Areas ◽

Geovisual Analytics ◽

Integration Techniques

In a variety of applications relying on geospatial data, getting insights into heterogeneous geodata sources is crucial for decision making, but often challenging. The reason is that it typically requires combining information coming from different sources via data integration techniques, and then making sense out of the combined data via sophisticated analysis methods. To address this challenge we rely on two well-established research areas: data integration and geovisual analytics, and propose to adopt an ontology-based approach to decouple the challenges of data access and analytics. Our framework consists of two modules centered around an ontology: (1) an ontology-based data integration (OBDI) module, in which mappings specify the relationship between the underlying data and a domain ontology; (2) a geovisual analytics (GeoVA) module, designed for the exploration of the integrated data, by explicitly making use of standard ontologies. In this framework, ontologies play a central role by providing a coherent view over the heterogeneous data, and by acting as a mediator for visual analysis tasks. We test our framework in a scenario for the investigation of the spatiotemporal patterns of meteorological and traffic data from several open data sources. Initial studies show that our approach is feasible for the exploration and understanding of heterogeneous geospatial data.

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