Proceedings of the 18th ACM conference on Information and knowledge management最新文献_第4页

Named entity disambiguation by leveraging wikipedia semantic knowledge 利用维基百科语义知识的命名实体消歧

Proceedings of the 18th ACM conference on Information and knowledge management Pub Date : 2009-11-02 DOI: 10.1145/1645953.1645983

Xianpei Han, Jun Zhao

{"title":"Named entity disambiguation by leveraging wikipedia semantic knowledge","authors":"Xianpei Han, Jun Zhao","doi":"10.1145/1645953.1645983","DOIUrl":"https://doi.org/10.1145/1645953.1645983","url":null,"abstract":"Name ambiguity problem has raised an urgent demand for efficient, high-quality named entity disambiguation methods. The key problem of named entity disambiguation is to measure the similarity between occurrences of names. The traditional methods measure the similarity using the bag of words (BOW) model. The BOW, however, ignores all the semantic relations such as social relatedness between named entities, associative relatedness between concepts, polysemy and synonymy between key terms. So the BOW cannot reflect the actual similarity. Some research has investigated social networks as background knowledge for disambiguation. Social networks, however, can only capture the social relatedness between named entities, and often suffer the limited coverage problem. To overcome the previous methods' deficiencies, this paper proposes to use Wikipedia as the background knowledge for disambiguation, which surpasses other knowledge bases by the coverage of concepts, rich semantic information and up-to-date content. By leveraging Wikipedia's semantic knowledge like social relatedness between named entities and associative relatedness between concepts, we can measure the similarity between occurrences of names more accurately. In particular, we construct a large-scale semantic network from Wikipedia, in order that the semantic knowledge can be used efficiently and effectively. Based on the constructed semantic network, a novel similarity measure is proposed to leverage Wikipedia semantic knowledge for disambiguation. The proposed method has been tested on the standard WePS data sets. Empirical results show that the disambiguation performance of our method gets 10.7% improvement over the traditional BOW based methods and 16.7% improvement over the traditional social network based methods.","PeriodicalId":286251,"journal":{"name":"Proceedings of the 18th ACM conference on Information and knowledge management","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132844693","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: 189

M-COPE: a multiple continuous query processing engine M-COPE:多个连续查询处理引擎

Proceedings of the 18th ACM conference on Information and knowledge management Pub Date : 2009-11-02 DOI: 10.1145/1645953.1646303

H. Park, S. Shin, Sang Hyuck Na, W. Lee

引用次数: 2

Event detection from flickr data through wavelet-based spatial analysis 基于小波空间分析的flickr事件检测

Proceedings of the 18th ACM conference on Information and knowledge management Pub Date : 2009-11-02 DOI: 10.1145/1645953.1646021

Ling Chen, Abhishek Roy

{"title":"Event detection from flickr data through wavelet-based spatial analysis","authors":"Ling Chen, Abhishek Roy","doi":"10.1145/1645953.1646021","DOIUrl":"https://doi.org/10.1145/1645953.1646021","url":null,"abstract":"Detecting events from web resources has attracted increasing research interests in recent years. Our focus in this paper is to detect events from photos on Flickr, an Internet image community website. The results can be used to facilitate user searching and browsing photos by events. The problem is challenging considering: (1) Flickr data is noisy, because there are photos unrelated to real-world events; (2) It is not easy to capture the content of photos. This paper presents our effort in detecting events from Flickr photos by exploiting the tags supplied by users to annotate photos. In particular, the temporal and locational distributions of tag usage are analyzed in the first place, where a wavelet transform is employed to suppress noise. Then, we identify tags related with events, and further distinguish between tags of aperiodic events and those of periodic events. Afterwards, event-related tags are clustered such that each cluster, representing an event, consists of tags with similar temporal and locational distribution patterns as well as with similar associated photos. Finally, for each tag cluster, photos corresponding to the represented event are extracted. We evaluate the performance of our approach using a set of real data collected from Flickr. The experimental results demonstrate that our approach is effective in detecting events from the Flickr photo collection.","PeriodicalId":286251,"journal":{"name":"Proceedings of the 18th ACM conference on Information and knowledge management","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128822803","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: 248

XQGen: an algebra-based XPath query generator for micro-benchmarking XQGen:用于微基准测试的基于代数的XPath查询生成器

Proceedings of the 18th ACM conference on Information and knowledge management Pub Date : 2009-11-02 DOI: 10.1145/1645953.1646328

Yuqing Wu, N. Lele, Rashmi Aroskar, Sharanya Chinnusamy, Sofia Brenes

引用次数: 5

A unified relevance model for opinion retrieval 意见检索的统一关联模型

Proceedings of the 18th ACM conference on Information and knowledge management Pub Date : 2009-11-02 DOI: 10.1145/1645953.1646075

Xuanjing Huang, W. Bruce Croft

引用次数: 93

Context sensitive synonym discovery for web search queries 上下文敏感的同义词发现web搜索查询

Proceedings of the 18th ACM conference on Information and knowledge management Pub Date : 2009-11-02 DOI: 10.1145/1645953.1646178

Xing Wei, Fuchun Peng, Huihsin Tseng, Yumao Lu, Benoît Dumoulin

引用次数: 36

Efficient processing of twig pattern matching in fuzzy XML 模糊XML中小枝模式匹配的高效处理

Proceedings of the 18th ACM conference on Information and knowledge management Pub Date : 2009-11-02 DOI: 10.1145/1645953.1645971

Jian Liu, Z. Ma, Li Yan

引用次数: 24

A framework for semantic link discovery over relational data 用于发现关系数据上的语义链接的框架

Proceedings of the 18th ACM conference on Information and knowledge management Pub Date : 2009-11-02 DOI: 10.1145/1645953.1646084

Oktie Hassanzadeh, Anastasios Kementsietsidis, Lipyeow Lim, Renée J. Miller, Min Wang

引用次数: 66

Dissemination of heterogeneous XML data in publish/subscibe systems 发布/订阅系统中异构XML数据的传播

Proceedings of the 18th ACM conference on Information and knowledge management Pub Date : 2009-11-02 DOI: 10.1145/1645953.1645972

Y. Ni, C. Chan

引用次数: 3

HDDBrs middleware for implementing highly available distributed databases 用于实现高可用性分布式数据库的hddbr中间件

Proceedings of the 18th ACM conference on Information and knowledge management Pub Date : 2009-11-02 DOI: 10.1145/1645953.1646308

Rim Moussa

引用次数: 0