International Workshop on Location and the Web最新文献

Two Ways of Thinking About Where People Go 思考人们去向的两种方式

International Workshop on Location and the Web Pub Date : 2014-11-03 DOI: 10.1145/2663713.2664429

Vanessa Murdock

引用次数: 1

HMM-based Address Parsing with Massive Synthetic Training Data Generation 基于hmm的大规模综合训练数据生成的地址解析

International Workshop on Location and the Web Pub Date : 2014-11-03 DOI: 10.1145/2663713.2664430

Xiang Li, Hakan Kardes, Xin Wang, Ang Sun

引用次数: 14

On the Semantic Annotation of Daily Places: A Machine-Learning Approach 日常地点的语义标注:一种机器学习方法

International Workshop on Location and the Web Pub Date : 2014-11-03 DOI: 10.1145/2663713.2664424

C. Chang, Yao-Chung Fan, Kuo-Chen Wu, Arbee L. P. Chen

{"title":"On the Semantic Annotation of Daily Places: A Machine-Learning Approach","authors":"C. Chang, Yao-Chung Fan, Kuo-Chen Wu, Arbee L. P. Chen","doi":"10.1145/2663713.2664424","DOIUrl":"https://doi.org/10.1145/2663713.2664424","url":null,"abstract":"Over the recent years smart devices have become a ubiquitous medium supporting various forms of functionality and are widely accepted for common users. One distinguishing feature for smart devices is the ability of positioning the physical location of a device, and numerous applications based on user location information have been proposed. While the potentials have been foreseen, location based services fundamentally suffer from the problem of lacking an effective and scalable mechanism to bridge the gap between the machine-observed locations and the human understandable places. In this study, we contribute on this fundamental problem. Differing from the existing solutions on this subject, we start from a novel perspective; we propose to address the place semantic understanding problem by casting it as a classification problem and employ machine learning techniques to automatically infer the types of the places. The key observation is that human behaviors are not random, e.g., people visit restaurants around noon, go for work in the daytime, and stay at home at night. Namely, by properly selecting features, a mechanism for automatically inferring place type semantics can be achieved. This paper summarizes our treatment and findings of leveraging the human behaviors patterns to infer the type of a place. Experiments using month-long trace logs from the recruited participants are conducted, and the experiment results demonstrate the effectiveness of the proposed method.","PeriodicalId":320466,"journal":{"name":"International Workshop on Location and the Web","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131961592","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}

引用次数: 12

Automatic Identification of Locative Expressions from Social Media Text: A Comparative Analysis 社交媒体文本中位置表达的自动识别:比较分析

International Workshop on Location and the Web Pub Date : 2014-11-03 DOI: 10.1145/2663713.2664426

Fei Liu, M. Vasardani, Timothy Baldwin

引用次数: 60

Considering Common Data Model for Indoor Location-aware Services 考虑室内位置感知服务的通用数据模型

International Workshop on Location and the Web Pub Date : 2014-11-03 DOI: 10.1145/2663713.2664423

L. Niu, S. Matsumoto, S. Saiki, Masahide Nakamura

引用次数: 5

Automatic Zoom Level Prediction for Informal Location Descriptions 非正式位置描述的自动缩放级别预测

International Workshop on Location and the Web Pub Date : 2014-11-03 DOI: 10.1145/2663713.2664427

Igor Tytyk, Timothy Baldwin

引用次数: 2

Hybrid Quantized Resource Descriptions for Geospatial Source Selection 地理空间资源选择的混合量化资源描述

International Workshop on Location and the Web Pub Date : 2014-11-03 DOI: 10.1145/2663713.2664428

Stefan Kufer, A. Henrich

{"title":"Hybrid Quantized Resource Descriptions for Geospatial Source Selection","authors":"Stefan Kufer, A. Henrich","doi":"10.1145/2663713.2664428","DOIUrl":"https://doi.org/10.1145/2663713.2664428","url":null,"abstract":"Location nowadays is an important aspect of the Web. One scenario in this respect are archives or collections of geo-tagged media items. More concretely, we can think of collections in the arts and humanities available via OAI-PMH (a protocol for metadata harvesting) on the web or web accessible personal media archives maintained in a peer-to-peer manner. In such scenarios for search problems, source selection becomes an important aspect. For example, we would like to access only those collections containing media items in a certain geospatial region (maybe we are interested in images from Shanghai only). Here, the geospatial search criterion allows for a high selectivity. What is needed in such a scenario are expressive and nevertheless compact representations or descriptions of the ``geospatial footprint'' of each collection. A minimum bounding rectangle would be a trivial but not very accurate option. Generally, summarization techniques for this purpose can be distinguished into three categories, geometric approaches, space partitioning approaches and hybrid approaches. In this work, we present novel hybrid techniques, which mostly apply a set of approximating minimum area rectangles for subspace description together with quantization techniques in order to increase the selectivity of the summaries and, at the same time, keep the storage requirements small.","PeriodicalId":320466,"journal":{"name":"International Workshop on Location and the Web","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130384690","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}

引用次数: 11

LocWeb 2010: Third International Workshop on Location and the Web 地点网络2010:第三届地点与网络国际研讨会

International Workshop on Location and the Web Pub Date : 2010-11-29 DOI: 10.1145/1899662.1899663

Erik Wilde, Susanne CJ Boll, Johannes Schöning

引用次数: 0

TimeTable.Locky: nation wide WiFi location information system based on user contributed information 时间表。Locky:基于用户贡献信息的全国WiFi位置信息系统

International Workshop on Location and the Web Pub Date : 2010-11-29 DOI: 10.1145/1899662.1899669

Motoki Yano, K. Kaji, Nobuo Kawaguchi

引用次数: 2

What aspects do people search in geo-referenced text? 人们在地理参考文本中搜索哪些方面?

International Workshop on Location and the Web Pub Date : 2010-11-29 DOI: 10.1145/1899662.1899666

Gwan Jang, Keun-Chan Park, Kyung-min Kim, Yoonjae Jeong, Sung-Hyon Myaeng

{"title":"What aspects do people search in geo-referenced text?","authors":"Gwan Jang, Keun-Chan Park, Kyung-min Kim, Yoonjae Jeong, Sung-Hyon Myaeng","doi":"10.1145/1899662.1899666","DOIUrl":"https://doi.org/10.1145/1899662.1899666","url":null,"abstract":"In providing a service to mobile users, it would be critical to know what types of information they would look for in association with geo-referenced entities that may be extractable from queries or contexts. While understanding high-level user intentions in accessing the Web, such as informational, navigational, and transactional, is useful, a finer-level classification of user interests would further help adapting mobile search results to user intensions. Our research focuses on understanding what aspects of geo-referenced entities are mentioned in user queries in an attempt to create a model for user intents in geo-referenced Web searching. By collecting and analyzing geo-referenced questions posed to operational question answering systems, we delineated major aspects of non-topical information that people would seek in association with geographic information. The identified aspects were further conceptualized to develop a user interest model with three dimensions, which was validated with two sets of data. The model can be a basis for identifying user's intent in a mobile search context as well as classifying geo-related text to be retrieved for its aspectual category.","PeriodicalId":320466,"journal":{"name":"International Workshop on Location and the Web","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130362864","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}

引用次数: 1