Guo Tong Xie

Affiliations:
  • Ping An Health Technology, Beijing, China
  • IBM Research, Beijing, China


According to our database1, Guo Tong Xie authored at least 158 papers between 2004 and 2024.

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Bibliography

2024
Hierarchical visual-semantic interaction for scene text recognition.
Inf. Fusion, February, 2024

Text2MDT: Extracting Medical Decision Trees from Medical Texts.
CoRR, 2024

2023
Multi-task entity linking with supervision from a taxonomy.
Knowl. Inf. Syst., October, 2023

Improving drug-target affinity prediction via feature fusion and knowledge distillation.
Briefings Bioinform., May, 2023

UltraFeedback: Boosting Language Models with High-quality Feedback.
CoRR, 2023

Interactive Molecular Discovery with Natural Language.
CoRR, 2023

ACF: Aligned Contrastive Finetuning For Language and Vision Tasks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Filter Pruning Via Filters Similarity in Consecutive Layers.
Proceedings of the IEEE International Conference on Acoustics, 2023

Exploring the Impact of Model Scaling on Parameter-Efficient Tuning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GRMI: Graph Representation Learning of Multimodal Data with Incompleteness.
Proceedings of the Database Systems for Advanced Applications, 2023

Global Balanced Text Classification for Stable Disease Diagnosis.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

BADGE: Speeding Up BERT Inference after Deployment via Block-wise Bypasses and Divergence-based Early Exiting.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Unified Demonstration Retriever for In-Context Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Automatic fine-grained glomerular lesion recognition in kidney pathology.
Pattern Recognit., 2022

PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking.
CoRR, 2022

CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer.
CoRR, 2022

Autonomous localization and segmentation for body composition quantization on abdominal CT.
Biomed. Signal Process. Control., 2022

HCL: Improving Graph Representation with Hierarchical Contrastive Learning.
Proceedings of the Semantic Web - ISWC 2022, 2022

SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Integrating Medical Code Descriptions and Building Text Classification Models for Diagnostic Decision Support.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Parallel and Robust Text Rectifier for Scene Text Recognition.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Visual-Semantic Transformer for Scene Text Recognition.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Prediction of Three-Dimensional Radiotherapy Optimal Dose Distributions for Lung Cancer Patients With Asymmetric Network.
IEEE J. Biomed. Health Informatics, 2021

ALeRT-COVID: Attentive Lockdown-awaRe Transfer Learning for Predicting COVID-19 Pandemics in Different Countries.
J. Heal. Informatics Res., 2021

An integrated framework for modelling quantitative effects of entry restrictions and travel quarantine on importation risk of COVID-19.
J. Biomed. Informatics, 2021

Automated vertebral landmarks and spinal curvature estimation using non-directional part affinity fields.
Neurocomputing, 2021

Superpixel-Based Building Damage Detection from Post-earthquake Very High Resolution Imagery Using Deep Neural Networks.
CoRR, 2021

Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks.
CoRR, 2021

Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT.
CoRR, 2021

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search.
CoRR, 2021

Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model.
CoRR, 2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.
CoRR, 2021

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings.
CoRR, 2021

Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images.
Comput. Medical Imaging Graph., 2021

HFIP: an integrated multi-omics data and knowledge platform for the precision medicine of heart failure.
Database J. Biol. Databases Curation, 2021

An effective self-supervised framework for learning expressive molecular global representations to drug discovery.
Briefings Bioinform., 2021

PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL.
Proceedings of the Thirtieth Text REtrieval Conference, 2021

AutoTrans: Automating Transformer Design via Reinforced Architecture Search.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Discovering Better Model Architectures for Medical Query Understanding.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Embedding Electronic Health Records to Learn BERT-based Models for Diagnostic Decision Support.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph.
Proceedings of the IEEE International Conference on Data Mining, 2021

GAML-BERT: Improving BERT Early Exiting by Gradient Aligned Mutual Learning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

paht_nlp @ MEDIQA 2021: Multi-grained Query Focused Multi-Answer Summarization.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

Representation Learning for Multi-omics Data with Heterogeneous Gene Regulatory Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Inpatinets' FWA Detection: Mismatch between the Clinical Path and Medical Condition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Global Attention Decoder for Chinese Spelling Error Correction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
A Multi-directional Approach for Missing Value Estimation in Multivariate Time Series Clinical Data.
J. Heal. Informatics Res., 2020

Learn molecular representations from large-scale unlabeled molecules for drug discovery.
CoRR, 2020

AutoRC: Improving BERT Based Relation Classification Models via Architecture Search.
CoRR, 2020

PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

A Multiple Models Ensembling Method in TREC Deep Learning.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Positive-Aware Lesion Detection Network with Cross-scale Feature Pyramid for OCT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Memory-Augmented Anomaly Generative Adversarial Network for Retinal OCT Images Screening.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Unsupervised Domain Adaptation for Cross-Device OCT Lesion Detection via Learning Adaptive Features.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

OCT Image Quality Evaluation Based on Deep and Shallow Features Fusion Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Hierarchy-Constrained Network for Corneal Tissue Segmentation Based on Anterior Segment OCT Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Triple-Stage Self-Guided Network for Kidney Tumor Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Lesion-Aware Segmentation Network for Atrophy and Detachment of Pathological Myopia on Fundus Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Automatic Student Network Search for Knowledge Distillation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Estimating the number of imported COVID-19 risks by traffic from other districts using population mobility data.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

A Deep Reinforcement Learning Approach for Type 2 Diabetes Mellitus Treatment.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Pre-training Entity Relation Encoder with Intra-span and Inter-span Information.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Correlation-Guided Network for Fine-Grained Classification of Glomerular lesions in Kidney Histopathology Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Mining Infrequent High-Quality Phrases from Domain-Specific Corpora.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

DeepComp: Which Competing Event Will Hit the Patient First?
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning.
Proceedings of the AMIA 2020, 2020

An Interpretable Machine Learning Survival Model for Predicting Long-term Kidney Outcomes in IgA Nephropathy.
Proceedings of the AMIA 2020, 2020

A Clinically Practical and Interpretable Deep Model for ICU Mortality Prediction with External Validation.
Proceedings of the AMIA 2020, 2020

Region Focus Network for Joint Optic Disc and Cup Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Structure-Aware Noise Reduction Generative Adversarial Network for Optical Coherence Tomography Image.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019

Analysis of the Health Information Needs of Diabetics in China.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

An Approach of Integrating Domain Knowledge into Data-Driven Diagnostic Model.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

The Dr-KGQA System for Automatically Answering Medication Related Questions in Chinese.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Estimating Missing Values in Multivariate-Time-Series Clinical Data using Gradient Boosting Tree on Temporal and Cross-variable Features.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

IEEE ICHI Data Analytics Challenge on Missing data Imputation by Amelia II.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Using Temporal Feature Aggregation and Gradient Boosting Tree on Missing Data Imputation.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Predicting the outbreak of the hand-foot-mouth diseases in China using recurrent neural network.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

TASP: A Time-Phased Model for Sepsis Prediction.
Proceedings of the 46th Computing in Cardiology, 2019

PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

Inpatient2Vec: Medical Representation Learning for Inpatients.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Integrating Clinical Knowledge and Real-World Evidence for Type 2 Diabetes Treatment.
Proceedings of the AMIA 2019, 2019

2018
Group-Based Trajectory Analysis of HIV-1 Patients.
Proceedings of the AMIA 2018, 2018

2017
Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories.
CoRR, 2017

Lung nodule malignancy prediction using multi-task convolutional neural network.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Personal Health Self-Management in a Data Perspective.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

A Deep Learning-Based Method for Similar Patient Question Retrieval in Chinese.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Group-Based Trajectory Analysis for Long-Term Use of Warfarin Therapy in Atrial Fibrillation Patients.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Exploring transfer learning for gastrointestinal bleeding detection on small-size imbalanced endoscopy images.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation.
Proceedings of the Summit on Clinical Research Informatics, 2017

Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach.
Proceedings of the AMIA 2017, 2017

Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation.
Proceedings of the AMIA 2017, 2017

Interactive Machine Learning for Medical Research: A Framework to Enhance the Engagement of Clinical Researchers.
Proceedings of the AMIA 2017, 2017

TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Building Evidence Graph for Clinical Decision Support.
Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located with 15th International Semantic Web Conference (ISWC 2016), 2016

Feature++: Automatic Feature Construction for Clinical Data Analysis.
Proceedings of the Exploring Complexity in Health: An Interdisciplinary Systems Approach - Proceedings of MIE2016 at HEC2016, Munich, Germany, 28 August, 2016

Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study.
Proceedings of the Exploring Complexity in Health: An Interdisciplinary Systems Approach - Proceedings of MIE2016 at HEC2016, Munich, Germany, 28 August, 2016

Accelerate Healthcare Data Analytics: An Agile Practice to Perform Collaborative and Reproducible Analyses.
Proceedings of the Exploring Complexity in Health: An Interdisciplinary Systems Approach - Proceedings of MIE2016 at HEC2016, Munich, Germany, 28 August, 2016

Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation.
Proceedings of the AMIA 2016, 2016

2015
SQLGraph: An Efficient Relational-Based Property Graph Store.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Outcome-driven Evaluation Metrics for Treatment Recommendation Systems.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

Synthesizing Analytic Evidence to Refine Care Pathways.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

Analysis of Care Pathway Variation Patterns in Patient Records.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

A Decision Fusion Framework for Treatment Recommendation Systems.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Mining Temporal and Data Constraints Associated with Outcomes for Care Pathways.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution.
Proceedings of the Business Process Management - 13th International Conference, 2015

Building Structured Personal Health Records from Photographs of Printed Medical Records.
Proceedings of the AMIA 2015, 2015

2014
Care Pathway Workbench: Evidence Harmonization from Guideline and Data.
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

Estimating the Impact of Prevention Action: A simulation Model of Cervical Cancer Progression.
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

Embracing case management for computerization of care pathways.
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

Automatic Variance Analysis of Multistage Care Pathways.
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

SPARQL Query Recommendation for Exploring RDF Repositories.
Proceedings of the Semantic Web and Web Science - 8th Chinese Conference, 2014

Towards Pathway Variation Identification: Aligning Patient Records with a Care Pathway.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Coordinating Social Care and Healthcare using Semantic Web Technologies.
Proceedings of the ISWC 2013 Posters & Demonstrations Track, 2013

A Framework for Evaluating Sequential Clinical Interventions with Disease Progression.
Proceedings of the MEDINFO 2013, 2013

An Efficacy Driven Approach for Medication Recommendation in Type 2 Diabetes Treatment Using Data Mining Techniques.
Proceedings of the MEDINFO 2013, 2013

Promoting Integrated Social and Medical Care through Semantic Integration and Context Visualization.
Proceedings of the Linked Data and Knowledge Graph, 2013

2011
An OCL-compliant GELLO Engine.
Proceedings of the User Centered Networked Health Care - Proceedings of MIE 2011, 2011

2010
A Semantic Bayesian Network for Web Mashup Network Construction.
Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications, 2010

2009
Mashup by Surfing a Web of Data APIs.
Proc. VLDB Endow., 2009

sMash: semantic-based mashup navigation for data API network.
Proceedings of the 18th International Conference on World Wide Web, 2009

A gauss function based approach for unbalanced ontology matching.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Actively Learning Ontology Matching via User Interaction.
Proceedings of the Semantic Web - ISWC 2009, 8th International Semantic Web Conference, 2009

A Practical Approach for Scalable Conjunctive Query Answering on Acyclic <i>EL</i><sup>+</sup>\mathcal{EL}^+ Knowledge Base.
Proceedings of the Semantic Web - ISWC 2009, 8th International Semantic Web Conference, 2009

iSMART: Ontology-based Semantic Query of CDA Documents.
Proceedings of the AMIA 2009, 2009

2008
UMRR: Towards an Enterprise-Wide Web of Models.
Proceedings of the Poster and Demonstration Session at the 7th International Semantic Web Conference (ISWC2008), 2008

Making URIs Published on Data Web RDF Dereferencable.
Proceedings of the Poster and Demonstration Session at the 7th International Semantic Web Conference (ISWC2008), 2008

A System to Enable Relational Persistence and Semantic Web style Access Simultaneously for Objects.
Proceedings of the Poster and Demonstration Session at the 7th International Semantic Web Conference (ISWC2008), 2008

MDS++: Supporting Ontology-based Dynamic Classification in WebSphere Metadata Server.
Proceedings of the Poster and Demonstration Session at the 7th International Semantic Web Conference (ISWC2008), 2008

Supporting Ontology-Based Dynamic Property and Classification in WebSphere Metadata Server.
Proceedings of the Semantic Web - ISWC 2008, 7th International Semantic Web Conference, 2008

A Semantic QoS-Aware Discovery Framework for Web Services.
Proceedings of the 2008 IEEE International Conference on Web Services (ICWS 2008), 2008

2007
EIAW: Towards a Business-Friendly Data Warehouse Using Semantic Web Technologies.
Proceedings of the Semantic Web, 2007

The Design and Implementation of a Semantic Service Mediation System.
Proceedings of ICEBE 2007, 2007

2006
Model-Driven Ontology Engineering.
J. Data Semant., 2006

A Model Driven Approach for Building OWL DL and OWL Full Ontologies.
Proceedings of the Semantic Web - ISWC 2006, 5th International Semantic Web Conference, 2006

Semantic Service Mediation.
Proceedings of the Service-Oriented Computing, 2006

Towards a Complete OWL Ontology Benchmark.
Proceedings of the Semantic Web: Research and Applications, 2006

The Object Management Group Ontology Definition Metamodel.
Proceedings of the Ontologies for Software Engineering and Software Technology, 2006

2004
Market Intelligence Portal: An entity-based system for managing market intelligence.
IBM Syst. J., 2004

ORIENT: Integrate Ontology Engineering into Industry Tooling Environment.
Proceedings of the Semantic Web, 2004


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