TabbyXL: Software platform for rule-based spreadsheet data extraction and transformation

Shigarov, Alexey O.; Khristyuk, Vasiliy V.; Mikhailov, Andrey A.

doi:10.1016/j.softx.2019.100270

Cited by 18 publications

(11 citation statements)

References 25 publications

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“…The approach was implemented by integrating two tools: TABBYXL [10] that extracts relational data from source spreadsheet tables, and PKBD [11] that generates and aggregates conceptual models from canonicalized tables.…”

Section: Methodsmentioning

confidence: 99%

“…Such spreadsheet tables typically contain data from various dimensions or named entities and are presented in the Excel format (XLSX or CSV). Below, we define elements of a spreadsheet Such spreadsheet tables are designated as arbitrary in [10], since they may have a different layout and design style due to the specifics of domain data.…”

Section: A Spreadsheet Source and Canonicalized Tablementioning

confidence: 99%

See 1 more Smart Citation

Semi-Automated Formalization and Representation of the Engineering Knowledge Extracted From Spreadsheet Data

Yurin¹,

Dorodnykh

Shigarov

2021

IEEE Access

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Section: Methodsmentioning

confidence: 99%

Section: A Spreadsheet Source and Canonicalized Tablementioning

confidence: 99%

Semi-Automated Formalization and Representation of the Engineering Knowledge Extracted From Spreadsheet Data

Yurin¹,

Dorodnykh

Shigarov

2021

IEEE Access

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“…• a module of integration with conceptual models sources: IBM Rational Rose, StarUML, XMind, CMapTools, Protégé, and TabbyXL [13];…”

Section: Software Architecturementioning

confidence: 99%

Personal knowledge base designer: Software for expert systems prototyping

Yurin

Dorodnykh

2020

SoftwareX

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“…The purpose of this experiment was to measure the effectiveness of the Tabdoc method in extracting and identifying semantic components from 1000-10000 document data sets. Table 4 compares the semantic extraction performance between Tabdoc method and TabbyXL [45], [46] on dataset 1 in terms of accuracy and recall rate. The objects of semantic extraction involve: ''entry'', ''label'', ''entry-label pair'', and ''label-label pair''.…”

Section: B Experiments On Extraction Of Semantic Components and Logical Structurementioning

confidence: 99%

Semantic Interoperability Through a Novel Cross-Context Tabular Document Representation Approach for Smart Cities

Yang

Wei

2020

IEEE Access

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Semantic interoperability is the process of representing, editing, and transmitting semantic information in one context, and then receiving and interpreting it in another. It is an important research topic in semantic web, Internet of things, smart city, smart enterprise and artificial intelligence. The current research methods of semantic interoperability generally include standardization, ontology modeling and collaboration templates, each of which has its own internalized limitations. In this paper, a novel crosscontext tabular document representation approach (Tabdoc) is proposed, where semantic documents used for cross-domain interaction can maintain the same syntax, concepts, and semantic relations. The new method is implemented under Sign Description Framework (SDF) and an editor is newly developed for semantic document creation. Finally, theoretical analysis and experimental evaluation on open datasets demonstrate the feasibility and efficiency of the proposed scheme. Experimental results indicate that Tabdoc approach can effectively identify, extract and consistently interoperate semantic components of tabular documents.

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TabbyXL: Software platform for rule-based spreadsheet data extraction and transformation

Cited by 18 publications

References 25 publications

Semi-Automated Formalization and Representation of the Engineering Knowledge Extracted From Spreadsheet Data

Semi-Automated Formalization and Representation of the Engineering Knowledge Extracted From Spreadsheet Data

Personal knowledge base designer: Software for expert systems prototyping

Semantic Interoperability Through a Novel Cross-Context Tabular Document Representation Approach for Smart Cities

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