2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC)最新文献

{"title":"A Common Base of Knowledge for Japanese Historical Materials and its Application","authors":"Taizo Yamada, Satoshi Inoue","doi":"10.23919/PNC.2018.8579468","DOIUrl":"https://doi.org/10.23919/PNC.2018.8579468","url":null,"abstract":"In the paper we describe the fundamental elements for handling and managing Japanese historical information such as catalogue, image, text, spatial, temporal, personal name, and introduce an application using the fundamental elements. Our Institution (The Historiographical Institute, the University of Tokyo) has been constructing and providing the information related to Japanese history and Japanese historical materials for more than 130 years. There is a diversity of data items for the materials, because data items added by some factors such as collections, eras and types are different. In order to make it easy to use the collected historical materials, we set fundamental items of them. We explain the features of each element. We will also describe the applications using that elements and their effects.","PeriodicalId":409931,"journal":{"name":"2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132772662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PNC 2018 Conference Committee","authors":"","doi":"10.23919/pnc.2018.8579451","DOIUrl":"https://doi.org/10.23919/pnc.2018.8579451","url":null,"abstract":"","PeriodicalId":409931,"journal":{"name":"2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131283766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Representation and Comparison of Uncertain Temporal Data Based on Duration","authors":"T. Sekino","doi":"10.23919/PNC.2018.8579465","DOIUrl":"https://doi.org/10.23919/PNC.2018.8579465","url":null,"abstract":"Although temporal data are often uncertain, especially in humanities, an appropriate standard method has not been established for operating them for retrievals and analysis. This study considered representing uncertainty of temporal data based on duration. Uncertain duration, which is a continuous range, was applied to represent duration of an uncertain time interval and temporal distance between two time intervals. Additionally, this study examined relation between two values of uncertain duration and observed that the relation portrayed three states, namely reliable, possible, and impossible. If these representations and relations are implemented using semantic Web technology and provided as Linked Data, uncertain temporal data are expected to be effectively used for retrieval, analysis, and other purposes.","PeriodicalId":409931,"journal":{"name":"2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129103847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Current Movement of \"Digital Archives in Japan\" and \"khirin (Knowledgebase of Historical Resources in Institutes)\"","authors":"M. Goto","doi":"10.23919/PNC.2018.8579461","DOIUrl":"https://doi.org/10.23919/PNC.2018.8579461","url":null,"abstract":"This paper describes the overall picture of digital humanities in Japan and explains the significance of \"Integrated Studies of Cultural and Research Resources (ISCRR) \"and \"khirin (Knowledgebase of Historical Resources in Institutes)\", the database of the findings of the ISCRR. One of the essential functions that \"khirin\" has but Japan Search does not is spatial search based on geographical information. \"khirin\" can be said to deliver excellent user experience in terms of browsing individual regional information. We must recognize that information infrastructure is not, as it were, \"browsing as an exit\", rather it is \"an entrance that provides input for understanding the community.\"","PeriodicalId":409931,"journal":{"name":"2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123306242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Robust Approach to Open Vocabulary Image Retrieval with Deep Convolutional Neural Networks and Transfer Learning","authors":"Vishakh Padmakumar, Rishab Ranga, Srivalya Elluru, S. Kamath S","doi":"10.23919/PNC.2018.8579473","DOIUrl":"https://doi.org/10.23919/PNC.2018.8579473","url":null,"abstract":"Enabling computer systems to respond to conversational human language is a challenging problem with wideranging applications in the field of robotics and human computer interaction. Specifically, in image searches, humans tend to describe objects in fine-grained detail like color or company, for which conventional retrieval algorithms have shown poor performance. In this paper, a novel approach for open vocabulary image retrieval, capable of selecting the correct candidate image from among a set of distractions given a query in natural language form, is presented. Our methodology focuses on generating a robust set of image-text projections capable of accurately representing any image, with an objective of achieving high recall. To this end, an ensemble of classifiers is trained on ImageNet for representing high-resolution objects, Cifar 100 for smaller resolution images of objects and Caltech 256 for challenging views of everyday objects, for generating category-based projections. In addition to category based projections, we also make use of an image captioning model trained on MS COCO and Google Image Search (GISS) to capture additional semantic/latent information about the candidate images. To facilitate image retrieval, the natural language query and projection results are converted to a common vector representation using word embeddings, with which query-image similarity is computed. The proposed model when benchmarked on the RefCoco dataset, achieved an accuracy of 68.8%, while retrieving semantically meaningful candidate images.","PeriodicalId":409931,"journal":{"name":"2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126682049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A QoS and QoE based Integrated Model for Bidirectional Web Service Recommendation","authors":"Sneh S. Jhaveri, Pooja Soundalgekar, Kevin George, S. Kamath S","doi":"10.23919/PNC.2018.8579474","DOIUrl":"https://doi.org/10.23919/PNC.2018.8579474","url":null,"abstract":"For a given requirement, identifying relevant Web services and recommending the best ones is an important task in Service-oriented application development. In this paper, a composite model that leverages Quality of Service (QoS) and Quality of Experience (QoE) for bidirectional Web service recommendation (bi-WSR) is proposed. The QoS based recommendation model is built on degree of user satisfaction, calculated using a special normalization technique and user satisfaction functions like response time and throughput. The QoE model is trained on a dataset containing positive, negative and neutral textual reviews of web services for sentiment analysis and mapped to each service's QoS values using a clustering method. This further optimizes the recommendation of web services to consumers, as the sentiment score of reviews is integrated with the user satisfaction using weighted average scoring. To describe the relationship between both web services & consumers and providers & consumers, a cube model is built. For recommending services to consumers and recommending potential consumers to service providers, hybrid collaborative filtering based techniques were used. The results obtained when only QoS is used, and when QoS and sentiment analysis scores are integrated to form QoE showed significant improvement in the quality of recommendation.","PeriodicalId":409931,"journal":{"name":"2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131521761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human Rights Components of an eBook Portfolio","authors":"A. Potkin","doi":"10.23919/PNC.2018.8579470","DOIUrl":"https://doi.org/10.23919/PNC.2018.8579470","url":null,"abstract":"Selected out of those fifteen interactive eBooks from our work in South and Southeast Asia (1988–2018) now online, this paper annotates and excerpts from those in which \"Human Rights in Cyberspace\" figures in part, conceptually. Some 8 GB of content —about half of which we personally created— is accessible directly through these pages. They should ordinarily open and run consistent with our authoring styles, provided that the configuration instructions for the operating system (Mac 10.6 or better and Windows 10); the web browser; and the requisite helper apps are followed for the end-users' playback platforms. High bandwidth and relatively large displays (no handheld devices running IOS or Android will work) are obligatory.","PeriodicalId":409931,"journal":{"name":"2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115568472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Linking the Getty Vocabularies: The Content Perspective, Including an Update on CONA","authors":"Patricia Harpring","doi":"10.23919/PNC.2018.8579460","DOIUrl":"https://doi.org/10.23919/PNC.2018.8579460","url":null,"abstract":"This paper focuses on issues surrounding the rich content of the Getty vocabularies, [1] particularly as they have transitioned from more traditional data releases to become optimized for release as LOD and beyond. The Getty vocabularies have been a mainstay of cataloging, indexing, and access for art, architecture, and other cultural heritage information since the 1980s. They are compiled resources that grow through contributions from the expert user community. They are multicultural and multilingual, currently being translated in several languages. With the release of the AAT (Art & Architecture Thesaurus®), ULAN (Union List of Artist Names ®), and TGN (Getty Thesaurus of Geographic Names®) as Linked Open Data (LOD), [2] the Getty vocabularies are entering a new world of seemingly limitless possibilities in digital scholarship. With the addition of new resources, CONA (Cultural Objects Name Authority®) and the Getty Iconography Authority (IA), the Getty vocabularies are poised to truly become linchpins in joining disparate resources from diverse disciplines, including art museums, special collections, libraries, archives, conservation, archaeology, visual resources, universities, and other researchers. The Getty vocabularies may serve as conduits through which data about art, architecture, and other cultural heritage are created and accessed for research and discovery. From their inception, the Getty vocabularies were designed to be linkable to each other and to the broader realm of cultural heritage information. For example, in the AAT, concepts are linked to each other through hierarchical and associative relationships with defined relationship types that inform the user that a rhyta (http://vocab.getty.edu/page/aat/300198841) is a type of ancient drinking vessel having an animal shape and is distinguished from vessels in other cultures having a similar purpose or appearance, such as stirrup cups and sturzbechers. In ULAN, the record for a person such as Katsushika Hokusai (http://vocab.getty.edu/page/ulan/500060426) may include various go names and aliases, and links to records for his teachers, family, and a novelist with whom he collaborated. In TGN, a geographic place record for Siena (http://vocab.getty.edu/page/tgn/7011179) may include ancient names, as well as links to multiple broader hierarchical contexts, for the modern nation of Italy as well as the ancient confederation of states, Etruria. In the IA, an Aztec character Ometecuhtli (http://vocab.getty.edu/page/ia/901002056) may be linked to named legends in which he is a character, as well as to other characters or places to which he is related. In CONA, titles/names and other information for works of art, including architecture, movable works (paintings, sculptures, textiles), and conceptual works (multiples) are linked to AAT, ULAN, TGN, IA and external sources, linking rich information from multiple sources to describe works whether extant, destroyed, or designed but never built","PeriodicalId":409931,"journal":{"name":"2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131131054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"One in a Million: The M9 Mestre Museum — a Unique Experiment in Italy","authors":"Michelangela Di Giacomo, Livio Karrer","doi":"10.23919/pnc.2018.8579472","DOIUrl":"https://doi.org/10.23919/pnc.2018.8579472","url":null,"abstract":"M9 is Italy's first attempt to create a new cultural institution as the drive behind a larger project to regenerate a post-industrial city. It will be centred on an interactive museum, specialized in spreading knowledge of 20th-century Italian history to a young audience using advanced edutainment techniques and new technologies. This paper will describe the \"making of\" the permanent exhibition, which opens on 1 December 2018, and describes its most impressive visitor experiences.","PeriodicalId":409931,"journal":{"name":"2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129594685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Effective CNN Approach for Vertebrae Segmentation from 3D CT Images","authors":"Chan-Pang Kuok, Jin-Yuan Hsue, Ting-Li Shen, Bing-Feng Huang, Chi-Yeh Chen, Yung-Nien Sun","doi":"10.23919/PNC.2018.8579455","DOIUrl":"https://doi.org/10.23919/PNC.2018.8579455","url":null,"abstract":"Spine surgery is risky when treating spinal diseases or injuries. In order to decrease the damage of tissue and accelerate the recovery, minimally invasive surgery is strongly desired. Because of this, the preoperative planning and intraoperative guidance become very important. A 3D vertebrae model of the surgical site will be built for these purposes from the computer tomography (CT) images. The segmentation methods of vertebrae from the CT images for modeling are widely concerned. The conventional methods were satisfactory but they usually required prior knowledge of the vertebrae. Recently, the deep learning convolutional neural network (CNN) showed an outstanding performance on the end-to-end semantic image segmentation. Benefit from this, we propose an effective and simple convolution neural network based approach for vertebrae segmentation. Different from training and testing on large 3D data, the axial view images are used effectively in this study. A sequence of simple image processing steps are applied for the intervertebral plane detection. Five CT cases are used on this study and the segmentation results are highly accurate with average dice similarity coefficient over 0.95.","PeriodicalId":409931,"journal":{"name":"2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123594121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}