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Il-yeol Song - One of the best experts on this subject based on the ideXlab platform.
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the use of a graph based system to improve Bibliographic Information retrieval system design implementation and evaluation
Association for Information Science and Technology, 2017Co-Authors: Yongjun Zhu, Erjia Yan, Il-yeol SongAbstract:In this article, we propose a graph-based interactive Bibliographic Information retrieval system-GIBIR. GIBIR provides an effective way to retrieve Bibliographic Information. The system represents Bibliographic Information as networks and provides a form-based query interface. Users can develop their queries interactively by referencing the system-generated graph queries. Complex queries such as "papers on Information retrieval, which were cited by John's papers that had been presented in SIGIR" can be effectively answered by the system. We evaluate the proposed system by developing another relational database-based Bibliographic Information retrieval system with the same interface and functions. Experiment results show that the proposed system executes the same queries much faster than the relational database-based system, and on average, our system reduced the execution time by 72% for 3-node query, 89% for 4-node query, and 99% for 5-node query.
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A natural language interface to a graph-based Bibliographic Information retrieval system
Data and Knowledge Engineering, 2017Co-Authors: Yongjun Zhu, Erjia Yan, Il-yeol SongAbstract:With the ever-increasing volume of scientific literature, there is a need for a natural language interface to Bibliographic Information retrieval systems to retrieve relevant Information effectively. In this paper, we propose one such interface, NLI-GIBIR, which allows users to search for a variety of Bibliographic data through natural language. NLI-GIBIR makes use of a novel framework applicable to graph-based Bibliographic Information retrieval systems in general. This framework incorporates algorithms/heuristics for interpreting and analyzing natural language Bibliographic queries via a series of text- and linguistic-based techniques, including tokenization, named entity recognition, and syntactic analysis. We find that our framework, as implemented in NLI-GIBIR, can effectively represent and address complex Bibliographic Information needs. Thus, the contributions of this paper are as follows: First, to our knowledge, it is the first attempt to propose a natural language interface for graph-based Bibliographic Information retrieval. Second, we propose a novel customized natural language processing framework that integrates a few original algorithms/heuristics for interpreting and analyzing Bibliographic queries. Third, we show that the proposed framework and natural language interface provide a practical solution for building real-world Bibliographic Information retrieval systems. Our experimental results show that the presented system can correctly answer 39 out of 40 example natural language queries with varying lengths and complexities.
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a natural language interface to a graph based Bibliographic Information retrieval system
arXiv: Information Retrieval, 2016Co-Authors: Yongjun Zhu, Erjia Yan, Il-yeol SongAbstract:With the ever-increasing scientific literature, there is a need on a natural language interface to Bibliographic Information retrieval systems to retrieve related Information effectively. In this paper, we propose a natural language interface, NLI-GIBIR, to a graph-based Bibliographic Information retrieval system. In designing NLI-GIBIR, we developed a novel framework that can be applicable to graph-based Bibliographic Information retrieval systems. Our framework integrates algorithms/heuristics for interpreting and analyzing natural language Bibliographic queries. NLI-GIBIR allows users to search for a variety of Bibliographic data through natural language. A series of text- and linguistic-based techniques are used to analyze and answer natural language queries, including tokenization, named entity recognition, and syntactic analysis. We find that our framework can effectively represents and addresses complex Bibliographic Information needs. Thus, the contributions of this paper are as follows: First, to our knowledge, it is the first attempt to propose a natural language interface to graph-based Bibliographic Information retrieval. Second, we propose a novel customized natural language processing framework that integrates a few original algorithms/heuristics for interpreting and analyzing natural language Bibliographic queries. Third, we show that the proposed framework and natural language interface provide a practical solution in building real-world natural language interface-based Bibliographic Information retrieval systems. Our experimental results show that the presented system can correctly answer 39 out of 40 example natural language queries with varying lengths and complexities.
Yongjun Zhu - One of the best experts on this subject based on the ideXlab platform.
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the use of a graph based system to improve Bibliographic Information retrieval system design implementation and evaluation
Association for Information Science and Technology, 2017Co-Authors: Yongjun Zhu, Erjia Yan, Il-yeol SongAbstract:In this article, we propose a graph-based interactive Bibliographic Information retrieval system-GIBIR. GIBIR provides an effective way to retrieve Bibliographic Information. The system represents Bibliographic Information as networks and provides a form-based query interface. Users can develop their queries interactively by referencing the system-generated graph queries. Complex queries such as "papers on Information retrieval, which were cited by John's papers that had been presented in SIGIR" can be effectively answered by the system. We evaluate the proposed system by developing another relational database-based Bibliographic Information retrieval system with the same interface and functions. Experiment results show that the proposed system executes the same queries much faster than the relational database-based system, and on average, our system reduced the execution time by 72% for 3-node query, 89% for 4-node query, and 99% for 5-node query.
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A natural language interface to a graph-based Bibliographic Information retrieval system
Data and Knowledge Engineering, 2017Co-Authors: Yongjun Zhu, Erjia Yan, Il-yeol SongAbstract:With the ever-increasing volume of scientific literature, there is a need for a natural language interface to Bibliographic Information retrieval systems to retrieve relevant Information effectively. In this paper, we propose one such interface, NLI-GIBIR, which allows users to search for a variety of Bibliographic data through natural language. NLI-GIBIR makes use of a novel framework applicable to graph-based Bibliographic Information retrieval systems in general. This framework incorporates algorithms/heuristics for interpreting and analyzing natural language Bibliographic queries via a series of text- and linguistic-based techniques, including tokenization, named entity recognition, and syntactic analysis. We find that our framework, as implemented in NLI-GIBIR, can effectively represent and address complex Bibliographic Information needs. Thus, the contributions of this paper are as follows: First, to our knowledge, it is the first attempt to propose a natural language interface for graph-based Bibliographic Information retrieval. Second, we propose a novel customized natural language processing framework that integrates a few original algorithms/heuristics for interpreting and analyzing Bibliographic queries. Third, we show that the proposed framework and natural language interface provide a practical solution for building real-world Bibliographic Information retrieval systems. Our experimental results show that the presented system can correctly answer 39 out of 40 example natural language queries with varying lengths and complexities.
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a natural language interface to a graph based Bibliographic Information retrieval system
arXiv: Information Retrieval, 2016Co-Authors: Yongjun Zhu, Erjia Yan, Il-yeol SongAbstract:With the ever-increasing scientific literature, there is a need on a natural language interface to Bibliographic Information retrieval systems to retrieve related Information effectively. In this paper, we propose a natural language interface, NLI-GIBIR, to a graph-based Bibliographic Information retrieval system. In designing NLI-GIBIR, we developed a novel framework that can be applicable to graph-based Bibliographic Information retrieval systems. Our framework integrates algorithms/heuristics for interpreting and analyzing natural language Bibliographic queries. NLI-GIBIR allows users to search for a variety of Bibliographic data through natural language. A series of text- and linguistic-based techniques are used to analyze and answer natural language queries, including tokenization, named entity recognition, and syntactic analysis. We find that our framework can effectively represents and addresses complex Bibliographic Information needs. Thus, the contributions of this paper are as follows: First, to our knowledge, it is the first attempt to propose a natural language interface to graph-based Bibliographic Information retrieval. Second, we propose a novel customized natural language processing framework that integrates a few original algorithms/heuristics for interpreting and analyzing natural language Bibliographic queries. Third, we show that the proposed framework and natural language interface provide a practical solution in building real-world natural language interface-based Bibliographic Information retrieval systems. Our experimental results show that the presented system can correctly answer 39 out of 40 example natural language queries with varying lengths and complexities.
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searching Bibliographic data using graphs a visual graph query interface
Journal of Informetrics, 2016Co-Authors: Yongjun Zhu, Erjia YanAbstract:Abstract With the ever-increasing scientific literature, improving the efficiency of searching Bibliographic data has become an important issue. With a lack of support of current Bibliographic Information retrieval systems in expressing complicated Information needs, getting relevant Bibliographic data is a demanding task. In this paper, we propose a visual graph query interface for Bibliographic Information retrieval. Through this interface, users can formulate Bibliographic queries by interacting with a graph. Visual graph queries use a set of nodes with constraints and links among nodes to represent explicit and precise Bibliographic Information needs. The proposed visual graph query interface allows users to formulate several complex Bibliographic queries (e.g., Bibliographic coupling) that are not attainable in current major Bibliographic Information retrieval systems. In addition, the proposed interface requires less number of queries in completing everyday Bibliographic search tasks.
Erjia Yan - One of the best experts on this subject based on the ideXlab platform.
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the use of a graph based system to improve Bibliographic Information retrieval system design implementation and evaluation
Association for Information Science and Technology, 2017Co-Authors: Yongjun Zhu, Erjia Yan, Il-yeol SongAbstract:In this article, we propose a graph-based interactive Bibliographic Information retrieval system-GIBIR. GIBIR provides an effective way to retrieve Bibliographic Information. The system represents Bibliographic Information as networks and provides a form-based query interface. Users can develop their queries interactively by referencing the system-generated graph queries. Complex queries such as "papers on Information retrieval, which were cited by John's papers that had been presented in SIGIR" can be effectively answered by the system. We evaluate the proposed system by developing another relational database-based Bibliographic Information retrieval system with the same interface and functions. Experiment results show that the proposed system executes the same queries much faster than the relational database-based system, and on average, our system reduced the execution time by 72% for 3-node query, 89% for 4-node query, and 99% for 5-node query.
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A natural language interface to a graph-based Bibliographic Information retrieval system
Data and Knowledge Engineering, 2017Co-Authors: Yongjun Zhu, Erjia Yan, Il-yeol SongAbstract:With the ever-increasing volume of scientific literature, there is a need for a natural language interface to Bibliographic Information retrieval systems to retrieve relevant Information effectively. In this paper, we propose one such interface, NLI-GIBIR, which allows users to search for a variety of Bibliographic data through natural language. NLI-GIBIR makes use of a novel framework applicable to graph-based Bibliographic Information retrieval systems in general. This framework incorporates algorithms/heuristics for interpreting and analyzing natural language Bibliographic queries via a series of text- and linguistic-based techniques, including tokenization, named entity recognition, and syntactic analysis. We find that our framework, as implemented in NLI-GIBIR, can effectively represent and address complex Bibliographic Information needs. Thus, the contributions of this paper are as follows: First, to our knowledge, it is the first attempt to propose a natural language interface for graph-based Bibliographic Information retrieval. Second, we propose a novel customized natural language processing framework that integrates a few original algorithms/heuristics for interpreting and analyzing Bibliographic queries. Third, we show that the proposed framework and natural language interface provide a practical solution for building real-world Bibliographic Information retrieval systems. Our experimental results show that the presented system can correctly answer 39 out of 40 example natural language queries with varying lengths and complexities.
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a natural language interface to a graph based Bibliographic Information retrieval system
arXiv: Information Retrieval, 2016Co-Authors: Yongjun Zhu, Erjia Yan, Il-yeol SongAbstract:With the ever-increasing scientific literature, there is a need on a natural language interface to Bibliographic Information retrieval systems to retrieve related Information effectively. In this paper, we propose a natural language interface, NLI-GIBIR, to a graph-based Bibliographic Information retrieval system. In designing NLI-GIBIR, we developed a novel framework that can be applicable to graph-based Bibliographic Information retrieval systems. Our framework integrates algorithms/heuristics for interpreting and analyzing natural language Bibliographic queries. NLI-GIBIR allows users to search for a variety of Bibliographic data through natural language. A series of text- and linguistic-based techniques are used to analyze and answer natural language queries, including tokenization, named entity recognition, and syntactic analysis. We find that our framework can effectively represents and addresses complex Bibliographic Information needs. Thus, the contributions of this paper are as follows: First, to our knowledge, it is the first attempt to propose a natural language interface to graph-based Bibliographic Information retrieval. Second, we propose a novel customized natural language processing framework that integrates a few original algorithms/heuristics for interpreting and analyzing natural language Bibliographic queries. Third, we show that the proposed framework and natural language interface provide a practical solution in building real-world natural language interface-based Bibliographic Information retrieval systems. Our experimental results show that the presented system can correctly answer 39 out of 40 example natural language queries with varying lengths and complexities.
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searching Bibliographic data using graphs a visual graph query interface
Journal of Informetrics, 2016Co-Authors: Yongjun Zhu, Erjia YanAbstract:Abstract With the ever-increasing scientific literature, improving the efficiency of searching Bibliographic data has become an important issue. With a lack of support of current Bibliographic Information retrieval systems in expressing complicated Information needs, getting relevant Bibliographic data is a demanding task. In this paper, we propose a visual graph query interface for Bibliographic Information retrieval. Through this interface, users can formulate Bibliographic queries by interacting with a graph. Visual graph queries use a set of nodes with constraints and links among nodes to represent explicit and precise Bibliographic Information needs. The proposed visual graph query interface allows users to formulate several complex Bibliographic queries (e.g., Bibliographic coupling) that are not attainable in current major Bibliographic Information retrieval systems. In addition, the proposed interface requires less number of queries in completing everyday Bibliographic search tasks.
Sylvester Olubolu Orimaye - One of the best experts on this subject based on the ideXlab platform.
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learning the heterogeneous Bibliographic Information network for literature based discovery
Knowledge Based Systems, 2017Co-Authors: Yakub Sebastian, Eugene Siew, Sylvester Olubolu OrimayeAbstract:Abstract This paper presents HBIN-LBD, a novel literature-based discovery (LBD) method that exploits the lexico-citation structures within the heterogeneous Bibliographic Information network (HBIN) graphs. Unlike other existing LBD methods, HBIN-LBD harnesses the metapath features found in HBIN graphs for discovering the latent associations between scientific papers published in otherwise disconnected research areas. Further, this paper investigates the effects of incorporating semantic and topic modeling components into the proposed models. Using time-sliced historical Bibliographic data, we demonstrate the performance of our method by reconstructing two LBD hypotheses: the Fish Oil and Raynaud’s Syndrome hypothesis and the Migraine and Magnesium hypothesis. The proposed method is capable of predicting the future co-citation links between research papers of these previously disconnected research areas with up to 88.86% accuracy and 0.89 F-measure.
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predicting future links between disjoint research areas using heterogeneous Bibliographic Information network
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2015Co-Authors: Yakub Sebastian, Eugene Siew, Sylvester Olubolu OrimayeAbstract:Literature-based discovery aims to discover hidden connections between previously disconnected research areas. Heterogeneous Bibliographic Information network (HBIN) provides a latent, semi-structured, Bibliographic Information model to signal the potential connections between scientific papers. This paper introduces a novel literature-based discovery method that builds meta path features from HBIN network to predict co-citation links between previously disconnected literatures. We evaluated the performance of our method in predicting future co-citation links between fish oil and Raynaud’s syndrome papers. Our experimental results showed that HBIN meta path features could predict future co-citation links between these papers with high accuracy (0.851 F-Measure; 0.845 precision; 0.857 recall), outperforming the existing document similarity algorithms such as LDA, TF-IDF, and Bibliographic Coupling.
Tanja Mercun - One of the best experts on this subject based on the ideXlab platform.
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visualizations of Bibliographic Information a user experience study
Journal of Librarianship and Information Science, 2020Co-Authors: Athena Salaba, Tanja MercunAbstract:Bibliographic Information was presented using five different prototype systems, including four different visualizations of FRBR-based Bibliographic Information and one more traditional bibliographi...
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user interactions with Bibliographic Information visualizations
International Conference Theory and Practice Digital Libraries, 2017Co-Authors: Athena Salaba, Tanja MercunAbstract:The paper presents preliminary results on a study testing user interactions with five prototype systems, including four different visualizations of FRBR-based Bibliographic Information and one more typical Bibliographic Information system. Performance and perceptions findings using the same tasks across the different visualizations are reported with a discussion on the implications for the design of future Bibliographic Information interfaces.
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presenting Bibliographic families using Information visualization evaluation of frbr based prototype and hierarchical visualizations
Association for Information Science and Technology, 2017Co-Authors: Tanja Mercun, Maja źumer, Trond AalbergAbstract:Since their beginnings, Bibliographic Information systems have been displaying results in the form of long, textual lists. With the development of new data models and computer technologies, the need for new approaches to present and interact with Bibliographic data has slowly been maturing. To investigate how this could be accomplished, a prototype system, FrbrVis1, was designed to present work families within a Bibliographic Information system using Information visualization. This paper reports on two user studies, a controlled and an observational experiment, that have been carried out to assess the Functional Requirements for Bibliographic Records FRBR-based against an existing system as well as to test four different hierarchical visual layouts. The results clearly show that FrbrVis offers better performance and user experience compared to the baseline system. The differences between the four hierarchical visualizations Indented tree, Radial tree, Circlepack, and Sunburst were, on the other hand, not as pronounced, but the Indented tree and Sunburst design proved to be the most successful, both in performance as well as user perception. The paper therefore not only evaluates the application of a visual presentation of Bibliographic work families, but also provides valuable results regarding the performance and user acceptance of individual hierarchical visualization techniques.
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presenting Bibliographic families designing an frbr based prototype using Information visualization
Journal of Documentation, 2016Co-Authors: Tanja Mercun, Maja žumer, Trond AalbergAbstract:Purpose – Despite the importance of Bibliographic Information systems for discovering and exploring library resources, some of the core functionality that should be provided to support users in their Information seeking process is still missing. Investigating these issues, the purpose of this paper is to design a solution that would fulfil the missing objectives. Design/methodology/approach – Building on the concepts of a work family, functional requirements for Bibliographic records (FRBR) and Information visualization, the paper proposes a model and user interface design that could support a more efficient and user-friendly presentation and navigation in Bibliographic Information systems. Findings – The proposed design brings together all versions of a work, related works, and other works by and about the author and shows how the model was implemented into a FrbrVis prototype system using hierarchical visualization layout. Research limitations/implications – Although issues related to discovery and expl...
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coding frbr structured Bibliographic Information in marc
International Conference on Asian Digital Libraries, 2011Co-Authors: Trond Aalberg, Tanja Mercun, Maja žumerAbstract:The lack of support for the FRBR model in current Bibliographic standards has been a major bottleneck for the implementation and use of this model in library databases. In this paper we present solutions for coding FRBR structures using MARC and show that it is possible to code even more complex FRBR structures within the current format. This solution promises a migration path for library systems without losing the compatibility with existing standards.