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Semantic annotation of tabular data in PDF documents via crowdsourcing
| Content Provider | Semantic Scholar |
|---|---|
| Author | Islam, Saiful Auer, Sören |
| Copyright Year | 2015 |
| Abstract | I, A Q M Saiful Islam, declare that this thesis titled, 'Semantic annotation of tabular data in PDF documents via crowdsourcing' and the work presented in it are my own. I confirm that: This work was done wholly or mainly while in candidature for a research degree at this University. Where any part of this thesis has previously been submitted for a degree or any other qualification at this University or any other institution, this has been clearly stated. Where I have consulted the published work of others, this is always clearly attributed. Where I have quoted from the work of others, the source is always given. With the exception of such quotations, this thesis is entirely my own work. I have acknowledged all main sources of help. Where the thesis is based on work done by myself jointly with others, I have made clear exactly what was done by others and what I have contributed myself. Signed: Date: i " Computers are incredibly fast, accurate, and stupid. Human beings are incredibly slow, inaccurate, and brilliant. Together they are powerful beyond imagination." There are a lot of valuable tabular information that is only available in PDF documents. In order to apply query over those table information in a uniform way and to interlink them with related information, the semantics are missing there. This thesis describes the current problems of annotate tabular data semantically inside PDF documents and provides a solution to annotate and query over the data inside those tables. As a part of the solution a prototype has been developed. The architecture of the solution focuses on publishing annotated data in a crowdsourced manner. Earlier research work in this field does not sufficiently address the annotation of tabular data in PDF documents. The prototype was built as a multi user web application.To extracting data from PDF, this thesis proposes an algorithm focusing on a relatively simple structure of table cells. The proposed solution annotates the tabular data using available ontologies and resources from the DBpedia linked open dataset derived from Wikipedia and publishes the annotated table in a uniform structure using the RDF Data Cube Vocabulary. The annotations are stored in a triple store and can be queried via a SPARQL endpoint. Apart from annotation of tabular data, the prototype provides a functionality to export the selected tabular data as CSV for further custom use. To obtain feedback about … |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://eis-bonn.github.io/Theses/2015/AQM_Saiful_Islam/thesis.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
