scholarly journals Global Agricultural Concept Space: lightweight semantics for pragmatic interoperability.

2019 ◽  
Author(s):  
Thomas Baker ◽  
Brandon Whitehead ◽  
Ruthie Musker ◽  
Johannes Keizer
Keyword(s):  
Data Sources ◽  
Bibliographic Databases ◽  
Food Technology ◽  
Web Content ◽  
Controlled Vocabularies ◽  
Research And Innovation ◽  
Concept Space ◽  
Image Metadata ◽  
Diverse Data

Abstract Progress on research and innovation in food technology depends increasingly on the use of structured vocabularies - concept schemes, thesauri, and ontologies - for discovering and re-using a diversity of data sources. Here we report on GACS Core, a concept scheme in the larger Global Agricultural Concept Space (GACS), which was formed by mapping between the most frequently used concepts of AGROVOC, CAB Thesaurus, and NAL Thesaurus and serves as a target for mapping near-equivalent concepts from other vocabularies. It provides globally unique identifiers which can be used as keywords in bibliographic databases, tags for web content, for building lightweight facet schemes, and for annotating spreadsheets, databases, and image metadata using synonyms and variant labels in 25 languages. The minimal semantics of GACS allows terms defined with more precision in ontologies, or less precision in controlled vocabularies, to be linked together making it easier to discover and integrate semantically diverse data sources.

scholarly journals Global agricultural concept space: lightweight semantics for pragmatic interoperability

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Thomas Baker ◽  
Brandon Whitehead ◽  
Ruthie Musker ◽  
Johannes Keizer
Keyword(s):  
Data Sources ◽  
Bibliographic Databases ◽  
Food Technology ◽  
Web Content ◽  
Controlled Vocabularies ◽  
Research And Innovation ◽  
Concept Space ◽  
Image Metadata ◽  
Diverse Data

Abstract Progress on research and innovation in food technology depends increasingly on the use of structured vocabularies—concept schemes, thesauri, and ontologies—for discovering and re-using a diversity of data sources. Here, we report on GACS Core, a concept scheme in the larger Global Agricultural Concept Space (GACS), which was formed by mapping between the most frequently used concepts of AGROVOC, CAB Thesaurus, and NAL Thesaurus and serves as a target for mapping near-equivalent concepts from other vocabularies. It provides globally unique identifiers, which can be used as keywords in bibliographic databases, tags for web content, for building lightweight facet schemes, and for annotating spreadsheets, databases, and image metadata using synonyms and variant labels in 25 languages. The minimal semantics of GACS allows terms defined with more precision in ontologies, or less precision in controlled vocabularies, to be linked together making it easier to discover and integrate semantically diverse data sources.

EXPRESS: The Role of Patient Satisfaction in Hospitals’ Medicare Reimbursements

2020 ◽  
pp. 074391562098472
Author(s):  
Lu Liu ◽  
Dinesh K. Gauri ◽  
Rupinder P. Jindal
Keyword(s):  
Patient Satisfaction ◽  
Pain Management ◽  
Hospital Care ◽  
Pay For Performance ◽  
Data Sources ◽  
Satisfaction Survey ◽  
The Us ◽  
Performance System ◽  
Diverse Data

Medicare uses a pay-for-performance program to reimburse hospitals. One of the key input measures in the performance formula is patient satisfaction with their hospital care. Physicians and hospitals, however, have raised concerns especially about questions related to patient satisfaction with pain management during hospitalization. They report feeling pressured to prescribe opioids to alleviate pain and boost satisfaction survey scores for higher reimbursements. This over-prescription of opioids has been cited as a cause of current opioid crisis in the US. Due to these concerns, Medicare stopped using pain management questions as inputs in its payment formula. We collected multi-year data from six diverse data sources, employed propensity score matching to obtain comparable groups, and estimated difference-in-difference models to show that, in fact, pain management was the only measure to improve in response to pay-for-performance system. No other input measure showed significant improvement. Thus, removing pain management from the formula may weaken the effectiveness of HVBP program at improving patient satisfaction, which is one of the key goals of the program. We suggest two divergent paths for Medicare to make the program more effective.

scholarly journals ASCR Workshop on In Situ Data Management: Enabling Scientific Discovery from Diverse Data Sources

2019 ◽  
Author(s):  
Tom Peterka ◽  
Deborah Bard ◽  
Janine Bennett ◽  
E. Wes Bethel ◽  
Ron Oldfield ◽  
...  
Keyword(s):  
Data Management ◽  
Scientific Discovery ◽  
Data Sources ◽  
In Situ Data ◽  
Diverse Data

Not Just Meaningful Data but Coordinated Data!

2014 ◽  
pp. 19-34 ◽  
Author(s):  
Vahé A. Kazandjian
Keyword(s):  
Cloud Computing ◽  
Information Technologies ◽  
Healthcare Services ◽  
Service Industries ◽  
Data Sources ◽  
Special Focus ◽  
Multiple Data ◽  
Community Evaluation ◽  
Health Systems Performance ◽  
Diverse Data

The era of data collection about health systems' performance is entering the new phase of timely and simultaneous access to diverse data sources in a systematic and coordinated approach. The concepts of harmonization and the measurement of the continuum of care have laid the ground for the pursuit of collecting, organizing, accessing, and sharing treatment and outcomes results. Service industries, faced with the need for access to multiple data sources, have adopted Information Technologies ranging from localized measurement of performance to regional monitoring of services, and finally into global networking via Cloud Computing. This chapter explores the benefits and challenges of Cloud Computing to the amelioration of medical and healthcare services given the idiosyncrasies of medicine and healthcare. A special focus is given to the extent of readiness healthcare systems manifest to measuring their performance, sharing the findings with patients and communities, and the accountability these systems demonstrate for the promises, implicitly or explicitly, they made about quality and safety of care. The implications of these promises in shaping patient expectations leading to patient and community evaluation of the healthcare services is a central theme running through this chapter.

Multilingual Web Content Mining

2004 ◽  
pp. 88-100
Author(s):  
Rowena Chau ◽  
Chung-Hsing Yeh
Keyword(s):  
Information Filtering ◽  
User Profile ◽  
Linguistic Knowledge ◽  
Web Content ◽  
Self Organizing Maps ◽  
Web Documents ◽  
Web Content Mining ◽  
Concept Space ◽  
Content Mining ◽  
Multilingual Text

This chapter presents a novel user-oriented, concept-based approach to multilingual web content mining using self-organizing maps. The multilingual linguistic knowledge required for multilingual web content mining is made available by encoding all multilingual concept-term relationships using a multilingual concept space. With this linguistic knowledge base, a concept-based multilingual text classifier is developed. It reveals the conceptual content of multilingual web documents and forms concept categories of multilingual web documents on a concept-based browsing interface. To personalize multilingual web content mining, a concept-based user profile is generated from a user’s bookmark file to highlight the user’s topics of information interest on the browsing interface. As such, both explorative browsing and user-oriented, concept-focused information filtering in multilingual web are facilitated.

An architecture for transparent access to diverse data sources

2001 ◽  
pp. 175-206 ◽  
Author(s):  
Mary Tork Roth ◽  
Peter Schwarz ◽  
Laura Haas
Keyword(s):  
Data Sources ◽  
Diverse Data

The Trendsetter

2020 ◽  
pp. 168-209
Author(s):  
Rachel K. Gibson
Keyword(s):  
United States ◽  
Survey Data ◽  
Supply And Demand ◽  
The United States ◽  
Data Sources ◽  
Left Wing ◽  
Web Content ◽  
Secondary Literature ◽  
Original Analysis ◽  
Digital Campaigning

This chapter examines developments in digital campaigning in the United States during the period 1994–2012. It does so by reviewing the findings from the secondary literature, and conducting original analysis of web content and national survey data. These data sources build a picture of key changes in the supply and demand for digital campaigning in the United States and particularly whether they fit the four-phase model of development. The results show that the model fits, and that US parties and voters were considerably faster in engaging with web campaigning than was the case elsewhere. This enthusiasm appeared to be driven, to an extent, by the more conducive regulatory environment and also innovation among left-wing organizations and particularly the Democrats from the middle of the first decade of the 2000s. Their ability to sustain activist involvement in their online cause beyond 2008, however, is challenged by the author’s findings.

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