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Semantic Table Interpretation Using MantisTable

Marco Cremaschi, Anisa Rula, Alessandra Siano, Flavio De Paoli
2019 International Semantic Web Conference  
In this paper, we propose MantisTable 3 , a web interface and an open source Semantic Table Interpretation tool that automatically annotates, manages and makes accessible to humans and machines the semantic  ...  The problem of annotating tables also known as Semantic Table Interpretation (STI) takes a relational table and a Knowledge Graph (KG) in input, and returns a semantically annotated table in output  ... 
dblp:conf/semweb/CremaschiRSP19 fatcat:ji564a5pz5f6baknpzwwi4x3xa

MantisTable: an Automatic Approach for the Semantic Table Interpretation

Marco Cremaschi, Roberto Avogadro, David Chieregato
2019 International Semantic Web Conference  
In particular, in the last years, there has been a ton of works on the annotation of tabular data, also known as Semantic Table Interpretation (STI), which can be mainly classified as supervised (they  ...  MantisTable takes a well-formed and normalised relational table (i.e. a table with headers and simple values, thus excluding nested and figure-like tables), and a KG which describes real-world entities  ...  Besides the approach, we propose MantisTable tool, a web interface and an open source Semantic Table Interpre tation tool that automatically annotates, manages and makes the semantic of tables accessible  ... 
dblp:conf/semweb/CremaschiAC19 fatcat:ujjagjplurdpnkvajdey7rvcee

MantisTable V: A novel and efficient approach to Semantic Table Interpretation

Roberto Avogadro, Marco Cremaschi
2021 International Semantic Web Conference  
In this paper, we present MantisTable V, a novel unsupervised and automatic approach for the Semantic Table Interpretation .  ...  Moreover, we provide a tool (LamAPI) that allows to efficiently fetch data needed for Semantic Table Interpretation tasks from the Knowledge Graph dumps.  ...  Introduction The Semantic Table Interpretation (STI) is a research field in continuous evolution with increasing interest over time, also considering the great diffusion of tabular data on the web.  ... 
dblp:conf/semweb/AvogadroC21 fatcat:an3ndlklufbdpkapsuuufbto7m

ASIA: a Tool for Assisted Semantic Interpretation and Annotation of Tabular Data

Vincenzo Cutrona, Michele Ciavotta, Flavio De Paoli, Matteo Palmonari
2019 International Semantic Web Conference  
As a result, ASIA table interpretation and annotation is offered as part of an end-to-end solution for semantic data preparation.  ...  Introduction Table interpretation and annotation is the process where a table, e.g., a CSV file or an HTML <table>, is annotated with semantic pieces of information such as types (ontology classes or data  ... 
dblp:conf/semweb/CutronaCPP19 fatcat:dhk62ljhkbchrjhofspwkpjgmi

Kepler-aSI: Kepler as a Semantic Interpreter

Wiem Baazouzi, Marouen Kachroudi, Sami Faïz
2020 International Semantic Web Conference  
Kepler-aSI uses the SPARQL query to semantically annotate tables in Knowledge Graphs (KG), in order to solve the critical problems of the matching tasks, namely, CTA columns annotation.  ...  This paper presents our system Kepler-aSI, for the Semantic Web on Tabular Data Challenge to Knowledge Graph Correspondence (SemTab 2020).Kepler-aSI analyze tabular data and detect the correct matches  ...  Although there are a number of methods available, several ideas have been tried, but the most effective according to our objective was the idea used in the Mantistable approach [5, 12] , we have indeed  ... 
dblp:conf/semweb/BaazouziKF20 fatcat:ffcbezb7pfcvvombnk52jnmcvu

Tab2KG: Semantic table interpretation with lightweight semantic profiles

Simon Gottschalk, Elena Demidova, Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack, Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne (+2 others)
2022 Semantic Web Journal  
In contrast to the existing semantic table interpretation approaches, Tab2KG relies on the semantic profiles only and does not require any instance lookup.  ...  Typically, tabular data does not possess any machine-readable semantics. In this context, semantic table interpretation is crucial for making data analytics workflows more robust and explainable.  ...  used as a baseline for semantic table interpretation approaches [8, 14, 51] .  ... 
doi:10.3233/sw-222993 fatcat:mc6ujs52bvaq3gvsdyyz56nil4

A Survey on Semantics in Automated Data Science [article]

Udayan Khurana and Kavitha Srinivas and Horst Samulowitz
2022 arXiv   pre-print
Moreover, semantics can assist data scientists in a new manner by helping with challenges related to trust, bias, and explainability.  ...  While data scientists can employ various such tools to help with model building, many other aspects such as feature engineering that require semantic understanding of concepts, remain manual to a large  ...  Humans can infer "data leakage" through semantic interpretation of features.  ... 
arXiv:2205.08018v1 fatcat:2rrsqvcl65hsdf7qztc5lfau2q

DAGOBAH: Enhanced Scoring Algorithms for Scalable Annotations of Tabular Data

Viet-Phi Huynh, Jixiong Liu, Yoan Chabot, Thomas Labbé, Pierre Monnin, Raphaël Troncy
2020 International Semantic Web Conference  
We present new approaches used in the DAGOBAH system to perform automatic semantic table interpretation.  ...  DAGOBAH semantically annotates tables with Wikidata entities and relations to perform three tasks: Columns-Property Annotation (CPA), Cell-Entity Annotation (CEA) and Column-Type Annotation (CTA).  ...  DAGOBAH: An Enhanced and Scalable Table Annotation System The DAGOBAH system is designed to interpret relational tables by annotating them with entities and relations from the Wikidata knowledge graph  ... 
dblp:conf/semweb/HuynhLCLMT20 fatcat:qpohcphr4fdgjdxvyj7fz75ahy

SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems [chapter]

Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, Kavitha Srinivas
2020 Lecture Notes in Computer Science  
Tabular data to Knowledge Graph matching is the process of assigning semantic tags from knowledge graphs (e.g., Wikidata or DBpedia) to the elements of a table.  ...  ., table and column names), the noisiness, heterogeneity, incompleteness and ambiguity in the data.  ...  This team developed a tool named MantisTable that can automatically annotate, manage and make the semantics of tables accessible to humans and machines.  ... 
doi:10.1007/978-3-030-49461-2_30 fatcat:b47k6i6a7vclppvwm33jzem23e

NEST: Neural Soft Type Constraints to Improve Entity Linking in Tables [chapter]

Vincenzo Cutrona, Gianluca Puleri, Federico Bianchi, Matteo Palmonari
2021 Applications and Practices in Ontology Design, Extraction, and Reasoning  
Matching tables against Knowledge Graphs is a crucial task in many applications.  ...  Introduction Linking values occurring in a table to entities in a Knowledge Graph (KG) is a critical task for Semantic Table Interpretation (STI).  ...  For type embeddings, we use Type2vec [17] , a model inspired by distributional semantics that does not require expressive and rich ontologies.  ... 
doi:10.3233/ssw210033 fatcat:zbqmrcahdnbtdayakap5hd45we

TCN: Table Convolutional Network for Web Table Interpretation [article]

Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang
2021 pre-print
, it aggregates inter-table contextual information from various types of implicit connections between cells across different tables.  ...  In this work, we propose a novel relational table representation learning approach considering both the intra- and inter-table contextual information.  ...  A Web table has additional contexts that further describe its semantics and therefore should be leveraged for better table interpretation.  ... 
doi:10.1145/3442381.3450090 arXiv:2102.09460v1 fatcat:y6qyz3evevflrolyhymei66gem

Creation, Enrichment and Application of Knowledge Graphs [article]

Simon Gottschalk, University, My
Only if a knowledge-based system is capable of this understanding - that is, it is capable of more than just reading a collection of words and numbers without grasping their semantics - it can recognise  ...  The domain knowledge graph is not directly used for the semantic table interpretation.  ...  Semantic table profiles summarize data tables facilitating effective semantic table interpretation. 2.  ... 
doi:10.15488/11043 fatcat:4scfeipf7vbkzlf4nkobgxa57i