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2Using Multi-Label Classification for Improved Question Answering
R. Usbeck, M. Hoffmann, M. Röder, J. Lehmann, and A. Ngomo. CoRR, (2017)
6 days ago by @aksw
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3SQCFramework: SPARQL Query Containment Benchmark Generation Framework
M. Saleem, C. Stadler, Q. Mehmood, J. Lehmann, and A. Ngomo. K-CAP 2017: Knowledge Capture Conference, ACM, (2017)
6 days ago by @aksw
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2SQCFramework: Generating SPARQL Query Containment Benchmarks using the SQCFramework
M. Saleem, C. Stadler, Q. Mehmood, J. Lehmann, and A. Ngomo. Demo at ISWC, (2018)
6 days ago by @aksw
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3Question Answering Over Linked Data: What is Difficult to Answer? What affects the F scores?
M. Saleem, S. Dastjerdi, R. Usbeck, and A. Ngomo. Natural Language Interfaces workshop at ISWC, (2017)
6 days ago by @aksw
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2Holistic and Scalable Ranking of RDF Data
A. Ngonga Ngomo, M. Hoffmann, R. Usbeck, and K. Jha. 2017 IEEE International Conference on Big Data, page 10. (2017)
6 days ago by @aksw
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2Entity Linking in 40 Languages using MAG
D. Moussallem, R. Usbeck, M. Röder, and A. Ngomo. The Semantic Web, ESWC 2018, Lecture Notes in Computer Science, (2018)
6 days ago by @aksw
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3MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach
D. Moussallem, R. Usbeck, M. Röder, and A. Ngonga Ngomo. K-CAP 2017: Knowledge Capture Conference, page 8. ACM, (2017)
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3ProBERT: Product Data Classification with Fine-tuning BERT Model
H. Zahera, and M. Sherif. Proceedings of Mining the Web of HTML-embedded Product Data Workshop (MWPD2020), (2020)
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4Enhancing Community Interactions with Data-Driven Chatbots-The DBpedia Chatbot
R. Athreya, A. Ngomo, and R. Usbeck. Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018, page 143--146. (2018)
6 days ago by @aksw
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3LSVS: Link Specification Verbalization and Summarization
{. Ahmed, {. Sherif, and A. Ngonga Ngomo. 24th International Conference on Applications of Natural Language to Information Systems (NLDB 2019), Springer, (2019)
6 days ago by @aksw
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2Jointly Learning from Social Media and Environmental Data for Typhoon Intensity Prediction
H. Zahera, M. Sherif, and A. Ngonga Ngomo. K-CAP 2019: Knowledge Capture Conference, page 4. ACM, (2019)
6 days ago by @aksw
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2Do your Resources Sound Similar? On the Impact of Using Phonetic Similarity in Link Discovery
A. Ahmed, M. Sherif, and A. Ngonga Ngomo. K-CAP 2019: Knowledge Capture Conference, page 8. ACM, (2019)
6 days ago by @aksw
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2LimesWebUI – Link Discovery Made Simple
M. Sherif, S. Pestryakova, K. Dreßler, and A. Ngomo. 18th International Semantic Web Conference (ISWC 2019), CEUR-WS.org, (2019)
6 days ago by @aksw
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1Applying edge-counting semantic similarities to Link Discovery: Scalability and Accuracy
K. Georgala, M. Röder, M. Sherif, and A. Ngonga Ngomo. Proceedings of Ontology Matching Workshop 2020, (2020)
6 days ago by @aksw
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1LIGON – Link Discovery with Noisy Oracles
M. Sherif, Kevin Dreßler, and A. Ngonga Ngomo. Proceedings of Ontology Matching Workshop 2020, (2020)
6 days ago by @aksw
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2LIGER – Link Discovery with Partial Recall
K. Georgala, M. Sherif, and A. Ngonga Ngomo. Proceedings of Ontology Matching Workshop 2020, (2020)
6 days ago by @aksw
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2Dragon: Decision Tree Learning for Link Discovery.
D. Obraczka, and A. Ngonga Ngomo. ICWE, volume 11496 of Lecture Notes in Computer Science, page 441-456. Springer, (2019)
6 days ago by @aksw
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BibSonomy

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2Using Multi-Label Classification for Improved Question Answering

3SQCFramework: SPARQL Query Containment Benchmark Generation Framework

2SQCFramework: Generating SPARQL Query Containment Benchmarks using the SQCFramework

3Question Answering Over Linked Data: What is Difficult to Answer? What affects the F scores?

2Holistic and Scalable Ranking of RDF Data

2Entity Linking in 40 Languages using MAG

3MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach

3ProBERT: Product Data Classification with Fine-tuning BERT Model

4Enhancing Community Interactions with Data-Driven Chatbots-The DBpedia Chatbot

3LSVS: Link Specification Verbalization and Summarization

2Jointly Learning from Social Media and Environmental Data for Typhoon Intensity Prediction

2Do your Resources Sound Similar? On the Impact of Using Phonetic Similarity in Link Discovery

2LimesWebUI – Link Discovery Made Simple

1Applying edge-counting semantic similarities to Link Discovery: Scalability and Accuracy

1LIGON – Link Discovery with Noisy Oracles

2LIGER – Link Discovery with Partial Recall

2Dragon: Decision Tree Learning for Link Discovery.

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