Collaboration and the Semantic Web最新文献

The Reflexive Practitioner 反身实践者

Collaboration and the Semantic Web Pub Date : 2012-10-01 DOI: 10.4018/978-1-4666-0894-8.CH008

S. Dobson

引用次数: 1

Collaborative Mediation 合作的中介

Collaboration and the Semantic Web Pub Date : 1900-01-01 DOI: 10.4018/978-1-4666-0894-8.CH002

Brian Gerard Goodman

引用次数: 0

Ontological Collaboration Engineering 本体协同工程

Collaboration and the Semantic Web Pub Date : 1900-01-01 DOI: 10.4018/978-1-4666-0894-8.CH012

S. Knoll, Till Plumbaum, E. W. D. Luca, L. Predoiu

引用次数: 2

Exploiting Social Media Features for Automated Tag Recommendation 利用社交媒体功能进行自动标签推荐

Collaboration and the Semantic Web Pub Date : 1900-01-01 DOI: 10.4018/978-1-4666-0894-8.CH006

R. Abbasi

{"title":"Exploiting Social Media Features for Automated Tag Recommendation","authors":"R. Abbasi","doi":"10.4018/978-1-4666-0894-8.CH006","DOIUrl":"https://doi.org/10.4018/978-1-4666-0894-8.CH006","url":null,"abstract":"In today's social media platforms, when users upload or share their media (photos, videos, bookmarks, etc.), they often annotate it with keywords (called tags). Annotating the media helps in retrieving and browsing resources, and also allows the users to search and browse annotated media. In many social media platforms like Flickr or Youtube, users have to manually annotate their resources, which is inconvenient and time consuming. Tag recommendation is the process of suggesting relevant tags for a given resource and a tag recommender is a system which recommends the tags. A tag recommender system is important for social media platforms to help users in annotating their resources. Many of the existing tag recommendation methods exploit only the tagging information [Jaschke et al., 2007, Marinho and Schmidt-Thieme, 2008, Sigurbjornsson and van Zwol, 2008]. However, many social media platforms support other media features like geographical coordinates. These features can be exploited for improving tag recommendation. In this chapter, a comparison of three types of social media features for tag recommendation is presented and evaluated. The features presented in this chapter include geographical-coordinates, low-level image descriptors and tags.","PeriodicalId":332320,"journal":{"name":"Collaboration and the Semantic Web","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114558656","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: 2

Hidden Markov Models for Context-Aware Tag Query Prediction in Folksonomies 大众分类法中上下文感知标签查询预测的隐马尔可夫模型

Collaboration and the Semantic Web Pub Date : 1900-01-01 DOI: 10.4018/978-1-4666-0894-8.CH010

C. Trabelsi, Bilel Moulahi, S. Yahia

{"title":"Hidden Markov Models for Context-Aware Tag Query Prediction in Folksonomies","authors":"C. Trabelsi, Bilel Moulahi, S. Yahia","doi":"10.4018/978-1-4666-0894-8.CH010","DOIUrl":"https://doi.org/10.4018/978-1-4666-0894-8.CH010","url":null,"abstract":"Recently, social bookmarking systems have received surging attention in academic and industrial communities. In fact, social bookmarking systems share with the Semantic Web vision the idea of facilitating the collaborative organization and sharing of knowledge on the web. The reason for the apparent success of the upcoming tools for resource sharing (social bookmarking systems, photo sharing systems, etc.) lies mainly in the fact that no specific skills are needed for publishing and editing, and an immediate benefit is yielded to each individual user, e.g., organizing one’s bookmarks in a browser-independent, persistent fashion, without too much overhead. As these systems grow larger, however, the users address the need of enhanced search facilities. Today, full-text search is supported, but the results are usually simply listed decreasingly by their upload date. The challenging research issue is, therefore, the development of a suitable prediction framework to support users in effectively retrieving the resources matching their real search intents. The primary focus of this chapter is to propose a new, context aware tag query prediction approach. Specifically, the authors adopted Hidden Markov Models and formal concept analysis to predict users’ search intentions based on a real folksonomy. Carried out experiments emphasize the relevance of the proposal and open many issues. DOI: 10.4018/978-1-4666-0894-8.ch010","PeriodicalId":332320,"journal":{"name":"Collaboration and the Semantic Web","volume":"470 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123388275","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: 0

Data Mining, Validation, and Collaborative Knowledge Capture 数据挖掘、验证和协作知识获取

Collaboration and the Semantic Web Pub Date : 1900-01-01 DOI: 10.4018/978-1-4666-0894-8.CH009

M. Atzmüller, Stephanie Beer, F. Puppe

{"title":"Data Mining, Validation, and Collaborative Knowledge Capture","authors":"M. Atzmüller, Stephanie Beer, F. Puppe","doi":"10.4018/978-1-4666-0894-8.CH009","DOIUrl":"https://doi.org/10.4018/978-1-4666-0894-8.CH009","url":null,"abstract":"For large-scale data mining, utilizing data from ubiquitous and mixed-structured data sources, the extraction and integration into a comprehensive data-warehouse is usually of prime importance. Then, appropriate methods for validation and potential refinement are essential. This chapter describes an approach for integrating data mining, information extraction, and validation with collaborative knowledge management and capture in order to improve the data acquisition processes. For collaboration, a semantic wiki-enabled system for knowledge and experience management is presented. The proposed approach applies information extraction techniques together with pattern mining methods for initial data validation and is applicable for heterogeneous sources, i.e., capable of integrating structured and unstructured data. The methods are integrated into an incremental process providing for continuous validation options. The approach has been developed in a health informatics context: The results of a medical application demonstrate that pattern mining and the applied rule-based information extraction methods are well suited for discovering, extracting and validating clinically relevant knowledge, as well as the applicability of the knowledge capture approach. The chapter presents experiences using a case-study in the medical domain of sonography.","PeriodicalId":332320,"journal":{"name":"Collaboration and the Semantic Web","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124328901","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: 5

Enhancing Social Networks with Agent and Semantic Web Technologies 利用代理和语义Web技术增强社交网络

Collaboration and the Semantic Web Pub Date : 1900-01-01 DOI: 10.4018/978-1-4666-0894-8.CH005

F. Bergenti, E. Franchi, A. Poggi

引用次数: 9

Developing a Web-Based Cooperative Environment to Software Project Development 基于web的协同软件项目开发环境研究

Collaboration and the Semantic Web Pub Date : 1900-01-01 DOI: 10.4018/978-1-4666-0894-8.CH013

S. M. Babamir

引用次数: 3

Dealing with Structure Heterogeneity in Semantic Collaborative Information Systems 语义协同信息系统中结构异构的处理

Collaboration and the Semantic Web Pub Date : 1900-01-01 DOI: 10.4018/978-1-4666-0894-8.CH001

Eva Zangerle, W. Gassler

引用次数: 1

Knowledge Worker Performance in a Cross-Industrial Perspective 跨行业视角下的知识工作者绩效

Collaboration and the Semantic Web Pub Date : 1900-01-01 DOI: 10.4018/978-1-4666-0894-8.CH015

Rainer Erne

{"title":"Knowledge Worker Performance in a Cross-Industrial Perspective","authors":"Rainer Erne","doi":"10.4018/978-1-4666-0894-8.CH015","DOIUrl":"https://doi.org/10.4018/978-1-4666-0894-8.CH015","url":null,"abstract":"Knowledge workers in specific professional domains form the fastest increasing workforce in OECD countries. Since this fact has been realised by management researchers, they have focussed on the question of how to measure and enhance the productivity of said workforce. According to the author’s cross-industrial research undertaken in five different knowledge-intensive organisations, it is, however, not productivity in the traditional meaning of the term which is to be regarded as the crucial performance indicator in knowledge work. There rather exist multiple performance indicators, each of which is, moreover, differently graded as to its importance by different stakeholders. These findings, firstly, indicate the need for an alternative definition of productivity when the term is applied to knowledge work. Secondly, they indicate the need for alternative definitions of the specific challenges that might be involved in making knowledge workers productive. Thirdly, they imply different consequences for the management of knowledge workers. This chapter closes abovementioned research gaps by summarising the indicators employed in five knowledge-intensive organisations from different business sectors for the assessment of knowledge workers’ performance, by subsequently deducing the specific challenges involved in the management of knowledge workers and by further delineating consequences for the management of knowledge workers – consequences affecting various knowledge-intensive industries.","PeriodicalId":332320,"journal":{"name":"Collaboration and the Semantic Web","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130247625","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: 0