Difference between revisions of "Semantic Survey Methodology"
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==ToDo== | ==ToDo== | ||
| − | * select a narrow research field with many comparable approaches as an example - e.g. link discovery, named entity recognition, relationship extraction, | + | * select a narrow research field with many comparable approaches as an example - e.g. question answering, link discovery, named entity recognition, relationship extraction, |
* select 10-20 papers in this field | * select 10-20 papers in this field | ||
* create pages for all papers in OpenResearch comprising key semantic information about the work described in the paper: | * create pages for all papers in OpenResearch comprising key semantic information about the work described in the paper: | ||
| − | + | ** bibliographic data: title, abstract, authors, publication venues | |
| − | + | ** semantic descriptions of the | |
| − | + | *** problem, | |
| − | + | *** approach - characteristics (lossless/fuzzy, ...), | |
| − | + | *** implementation - programming language, | |
| − | + | *** evaluation - dataset, precision, recall, performance | |
| + | ** See slide 13 in [http://www.slideshare.net/soeren1611/towards-digitizing-scholarly-communication Sören's keynote at VIVO 2016 (Towards Digitizing Scholarly Communication)] [http://image.slidesharecdn.com/towardsdigitizingscholarlycommunication-160818165519/95/towards-digitizing-scholarly-communication-13-638.jpg?cb=1471539491 (here is just the slide)] | ||
| + | * create queries or faceted browsing interface for browsing/exploring the approaches | ||
Latest revision as of 17:53, 11 November 2016
Despite significant advances in technology, the way how research is done and especially communicated has not changed much. We have the vision, that ultimately researchers will work on a common knowledge base comprising comprehensive descriptions of their research, thus making research contributions transparent and comparable. In this article, we describe how surveys on research fields can be performed in a semantic way resulting in a knowledge graph describing the individual research problems, approaches, implementations and evaluations in a structured, comparable way. We illustrate our methodology with the example of ...
ToDo
- select a narrow research field with many comparable approaches as an example - e.g. question answering, link discovery, named entity recognition, relationship extraction,
- select 10-20 papers in this field
- create pages for all papers in OpenResearch comprising key semantic information about the work described in the paper:
- bibliographic data: title, abstract, authors, publication venues
- semantic descriptions of the
- problem,
- approach - characteristics (lossless/fuzzy, ...),
- implementation - programming language,
- evaluation - dataset, precision, recall, performance
- See slide 13 in Sören's keynote at VIVO 2016 (Towards Digitizing Scholarly Communication) (here is just the slide)
- create queries or faceted browsing interface for browsing/exploring the approaches
