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Paper on End-to-End Data Integration using LLMs accepted at Beyond SQL Workshop We are happy to announce that the paper “Automatic End-to-End Data Integration using Large Language Models” by Aaron Steiner and Christian Bizer been accepted at the workshop “Beyond SQL – AI for Complex Data Management” at the IEEE International Conference on Data Engineering (ICDE). The ...
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Paper on Agent Interfaces to the Web accepted at the Web Conference 2026 We are happy to announce that the paper “MCP vs RAG vs NLWeb vs HTML: A Comparison of the Effectiveness and Efficiency of Different Agent Interfaces to the Web” by Aaron Steiner, Ralph Peeters, and Christian Bizer been accepted for the the ACM Web Conference 2026 as a short paper. The Web conference ...
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PyDI – Python Data Integration Framework Version 0.2 released We are happy to announce the release of Version 0.2 of the PyDI Data Integration Framework. The new release features improved data normalization and translation methods, JSON Schema integration, additional use cases, as well as new tutorials and extended documentation.
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Comparison of Agent Interfaces to the Web presented at Göttingen AI Developer Meetup Aaron Steiner has presented the results of a series of experiments comparing the effectiveness and efficiency of different interfaces for LLM agents to interact with websites at the Göttingen AI Developer Meetup.
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Evaluating knowledge generation and self-refinement strategies for LLM-based column type annotation
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Integrating product data from the web using deep learning techniques
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ExtractGPT: Exploring the potential of Large Language Models for product attribute value extraction
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Column property annotation using large language models
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Entity matching using deep neural networks: From discriminative pre-trained language models to generative large language models
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Entity matching using large language models
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Fine-tuning large language models for entity matching
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Using LLMs for the extraction and normalization of product attribute values
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SC-block: Supervised contrastive blocking within entity resolution pipelines
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The Web Data Commons Schema.org Table Corpora
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GPT-4 versus BERT: Which foundation model is more suitable for integrating data from the web?
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Linked data – the story so far
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Neural data search for table augmentation
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The Web Data Commons Schema.Org Data Set Series
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Results of SemTab 2023
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Column type annotation using ChatGPT
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Using ChatGPT for Entity Matching
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WDC products: A multi-dimensional entity matching benchmark
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SOTAB: The WDC Schema.org table annotation benchmark
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Cross-language learning for product matching
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Integrating product data using deep learning : Art.-Nr. 11
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Supervised contrastive learning for product matching
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Reducing the labeling effort for entity resolution using distant supervision and active learning
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Impact of the characteristics of multi-source entity matching tasks on the performance of active learning methods
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Improving hierarchical product classification using domain-specific language modelling
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Dual-objective fine-tuning of BERT for entity matching
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Graph-boosted active learning for multi-source entity resolution
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Augmenting cross-domain knowledge bases using web tables
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Intermediate training of BERT for product matching
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Using schema.org annotations for training and maintaining product matchers
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Learning expressive linkage rules from sparse data
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Profiling entity matching benchmark tasks
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Unsupervised bootstrapping of active learning for entity resolution
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MWPD2020: Semantic Web challenge on Mining the Web of HTML-embedded product data
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Using the Semantic Web as a source of training data
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Web table integration and profiling for knowledge base augmentation
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Profiling the semantics of n-ary web table data
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Synthesizing N-ary relations from web tables
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Local and global feature selection for multilabel classification with binary relevance : An empirical comparison on flat and hierarchical problems
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Extending cross-domain knowledge bases with long tail entities using web table data
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Using weak supervision to identify long-tail entities for knowledge base completion
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Robust active learning of expressive linkage rules
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The WDC training dataset and gold standard for large-scale product matching
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Linked Open Data
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RDF Technology
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Resource Description Framework
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Density- and correlation-based table extension
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A machine learning approach for product matching and categorization
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Knowledge graphs and language technology : ISWC 2016 International Workshops: KEKI and NLP&DBpedia, Kobe, Japan, October 17–21, 2016, revised selected papers
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The Semantic Web: ESWC 2017 Satellite Events : ESWC 2017 Satellite Events, Portorož, Slovenia, May 28 – June 1, 2017, revised selected papers
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Biased graph walks for RDF graph embeddings
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Entity matching on web tables: a table embeddings approach for blocking
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Language-agnostic relation extraction from Wikipedia abstracts
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WikiV3 results for OAEI 2017
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WebIsALOD: providing hypernymy relations extracted from the web as linked open data
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Where is that button again?! – Towards a universal GUI search engine
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DBkWik: towards knowledge graph creation from thousands of wikis
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Ensembles of recurrent neural networks for robust time series forecasting
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LDOW2017: 10th Workshop on Linked Data on the Web
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Stitching web tables for improving matching quality
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WInte.r – a web data integration framework
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An approach to correction of erroneous links in knowledge graphs
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Detection of relation assertion errors in knowledge graphs
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Synthesizing knowledge graphs for link and type prediction benchmarking
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Type prediction in noisy RDF knowledge bases using hierarchical multilabel classification with graph and latent features
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Web-scale profiling of semantic annotations in HTML pages
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Towards more accurate statistical profiling of deployed schema.org microdata
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Estimating missing temporal meta-information using Knowledge-Based-Trust
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A robust number parser based on conditional random fields
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Data-driven joint debugging of the DBpedia mappings and ontology
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Knowledge graph refinement: A survey of approaches and evaluation methods
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Towards profiling knowledge graphs
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Extracting attribute-value pairs from product specifications on the web
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The WDC gold standards for product feature extraction and product matching
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Generalizing matching knowledge using active learning
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The Web Data Commons structured data extraction
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One knowledge graph to rule them all? Analyzing the differences between DBpedia, YAGO, Wikidata & co.
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Web-scale web table to knowledge base matching
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Matching web tables to DBpedia – a feature utility study
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RDF spreadsheet editor : get (G)rid of your RDF data entry problems
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An unsupervised data-driven method to discover equivalent relations in large Linked Datasets
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LDOW 2016 : Proceedings of the Workshop on Linked Data on the web, LDOW 2016, co-located with 25th International World Wide Web Conference(WWW 2016); Montreal, Canada, April 12th, 2016
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LDOW2016: 9th Workshop on Linked Data on the Web
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Overview of the EVALITA 2016 Named Entity rEcognition and Linking in Italian Tweets (NEEL-IT) Task
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Editorial: Special issue on web data quality
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Gathering alternative surface forms for DBpedia entities
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Evaluating entity linking: an analysis of current benchmark datasets and a roadmap for doing a better job
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A Web application to search a large repository of taxonomic relations from the Web
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Extending RapidMiner with data search and integration capabilities
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Top-k shortest paths in directed labeled multigraphs
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What SPARQL query logs tell and do not tell about semantic relatedness in LOD : or: the unsuccessful attempt to improve the browsing experience of DBpedia by exploiting query logs
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Web table column categorisation and profiling
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A large public corpus of web tables containing time and context metadata
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Type prediction in RDF knowledge bases using hierarchical multilabel classification
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Towards combining ontology matchers via anomaly detection
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Conference Linked Data: the ScholarlyData project
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Semantic Web Conference ontology – a refactoring solution
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Fusing time-dependent web table data
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14th International Semantic Web Conference 2015 Bethlehem, PA, USA; October 11–15
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Fast approximate A-box consistency checking using machine learning
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Can predicate lexicalizations help in named entity disambiguation?
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Can you judge a music album by its cover?
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Enriching product ads with Metadata from HTML annotations
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Analyzing statistics with background knowledge from Linked Open Data
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RDF2Vec: RDF graph embeddings for data mining
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Semantic Web in data mining and knowledge discovery: a comprehensive survey
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The Linked Data Mining Challenge 2016
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A collection of benchmark datasets for systematic evaluations of machine learning on the Semantic Web
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Profiling the potential of web tables for augmenting cross-domain knowledge bases
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RDF graph embeddings for content-based recommender systems
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A large DataBase of hypernymy relations extracted from the Web
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[BibTex]
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Directions on Google Maps
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About This Site
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Data Protection Declaration
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privacy policy
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