Skip to main content

and
  1. No Access

    Chapter and Conference Paper

    Geography Gaokao-Oriented Knowledge Acquisition for Comparative Sentences Based on Logic Programming

    Multiple-choice questions of comparing one entity with another in a university’s entrance examination like Gaokao in China are very common but require high knowledge skill. As a preliminary attempt to address ...

    Xuelian Li, Qian Liu, Man Zhu, Feifei Xu in Natural Language Processing and Chinese Co… (2018)

  2. No Access

    Chapter and Conference Paper

    Predicate Invention Based RDF Data Compression

    RDF is a data representation format for schema-free structured information that is gaining speed in the context of semantic web, life science, and vice versa. With the continuing proliferation of structured da...

    Man Zhu, Weixin Wu, Jeff Z. Pan, **gyu Han, Pengfei Huang, Qian Liu in Semantic Technology (2018)

  3. No Access

    Chapter and Conference Paper

    Exploring Long Tail Data in Distantly Supervised Relation Extraction

    Distant supervision is an efficient approach for various tasks, such as relation extraction. Most of the recent literature on distantly supervised relation extraction generates labeled data by heuristically al...

    Yaocheng Gui, Qian Liu, Man Zhu in Natural Language Understanding and Intelli… (2016)

  4. No Access

    Chapter and Conference Paper

    Reducing Human Effort in Named Entity Corpus Construction Based on Ensemble Learning and Annotation Categorization

    Annotated named entity corpora play a significant role in many natural language processing applications. However, annotation by humans is time-consuming and costly. In this paper, we propose a high recall pre-...

    Tingming Lu, Man Zhu, Zhiqiang Gao in Natural Language Understanding and Intelli… (2016)

  5. No Access

    Chapter and Conference Paper

    Graph Pattern Based RDF Data Compression

    Jeff Z. Pan, José Manuel Gómez Pérez, Yuan Ren, Honghan Wu in Semantic Technology (2015)

  6. Chapter and Conference Paper

    Noisy Type Assertion Detection in Semantic Datasets

    Semantic datasets provide support to automate many tasks such as decision-making and question answering. However, their performance is always decreased by the noises in the datasets, among which, noisy type as...

    Man Zhu, Zhiqiang Gao, Zhibin Quan in The Semantic Web – ISWC 2014 (2014)

  7. No Access

    Chapter and Conference Paper

    Entity Correspondence with Second-Order Markov Logic

    Entity Correspondence seeks to find instances that refer to the same real world entity. Usually, a fixed set of properties exists, for each of which the similarity score is computed to support entity correspon...

    Ying Xu, Zhiqiang Gao, Campbell Wilson in Web Information Systems Engineering – WISE… (2013)

  8. No Access

    Chapter and Conference Paper

    An Efficient Approach to Debugging Ontologies Based on Patterns

    Ontology debugging helps users to understand the unsatisfiability of a concept in an ontology by finding minimal unsatisfiability-preserving sub-ontologies (MUPS) of the ontology for the concept. Although exis...

    Qiu Ji, Zhiqiang Gao, Zhisheng Huang, Man Zhu in The Semantic Web (2012)

  9. No Access

    Chapter and Conference Paper

    An Academic Search and Analysis Prototype for Specific Domain

    There exist several powerful and popular academic search engines, such as Microsoft Academic Search, Google Scholar and CiteSeerX, etc. However, query answering is now being required by users in addition to ex...

    Zhiqiang Gao, Yaocheng Gui, Man Zhu, Zhisheng Huang in Web Technologies and Applications (2012)

  10. No Access

    Chapter and Conference Paper

    Semantic Precision and Recall for Evaluating Incoherent Ontology Map**s

    Ontology map** plays an important role in the Semantic Web, which generates correspondences between different ontologies. Usually, precision and recall are used to evaluate the performance of a map** metho...

    Qiu Ji, Zhiqiang Gao, Zhisheng Huang, Man Zhu in Active Media Technology (2012)

  11. Chapter and Conference Paper

    DC Proposal: Ontology Learning from Noisy Linked Data

    Ontology learning - loosely, the process of knowledge extraction from diverse data sources - provides (semi-) automatic support for ontology construction. As the ‘Web of Linked Data’ vision of the Semantic Web...

    Man Zhu in The Semantic Web – ISWC 2011 (2011)