E-Commerce and Web Technologies : 15th International Conference, EC-Web 2014, Munich, Germany, September 1-4, 2014, Proceedings (Lecture Notes in Business Information Processing)

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E-Commerce and Web Technologies : 15th International Conference, EC-Web 2014, Munich, Germany, September 1-4, 2014, Proceedings (Lecture Notes in Business Information Processing)

Hepp, Martin (EDT)/ Hoffner, Yigal (EDT)

ウェブストア価格 ¥11,535（本体¥10,487）
Springer International Publishing AG（2014/08発売）
外貨定価 US$ 54.99
ポイント 104pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 194 p.
言語 ENG
商品コード 9783319104904
DDC分類 005.7

Full Description

This book constitutes the refereed proceedings of the 15th International Conference on Electronic Commerce and Web Technologies (EC-Web) held in Munich, Germany, in September 2014.

The 11 full and 8 short papers included in this volume were carefully reviewed and selected from 46 submissions. The papers are organized in topical sections on data, information, and knowledge management for e-business; Semantic Web and linked open data for e-business; search, matchmaking, recommender and comparison systems; economics, management, and law; and social interaction in e-business.

Part: Data, Information, and Knowledge Management for E-Business.- Implementing the WiPo Architecture.- Effective Web Crawling for Chinese Addresses and Associated Information.- Information Need in Cloud Service Procurement - An Exploratory Case Study (Short Paper).- Part: Semantic Web and Linked Open Data for E-Business.- Exploiting Freebase to Obtain GoodRelations-Based Product Ontologies.- Modelling and Linking Transformations in EPCIS Governing Supply Chain Business Processes.- Validator and Preview for the JobPosting Data Model of Schema.org (Short Paper).- Automotive Ranges as eCommerce Data (Short Paper).- Linked Data-Based Conceptual Modelling for Recommendation: A FCA-Based Approach (Short Paper).- Part: Search, Matchmaking, Recommender and Comparison Systems.- A Linked Data Recommender System Using a Neighborhood-Based Graph Kernel.- Resource Recommendation in Social Annotation Systems Based on User Partitioning.- Resource Recommendation in Social Annotation Systems Based on User Partitioning.- Active Learning in Collaborative Filtering Recommender Systems.- Personality-Aware Collaborative Filtering: An Empirical Study in Multiple Domains with Facebook Data.- Modelling User Preferences from Implicit Preference Indicators via Compensational Aggregations (Short Paper).- Using Dependency Bigrams and Discourse Connectives for Predicting the Helpfulness of Online Reviews (Short Paper).- Part: Economics, Management, and Law.- Customer Load Strategies for Demand Response in Bilateral Contracting of Electricity.- An Inductive Approach to Reconceptualizing and Theorizing about Digital Services (Short Paper).- How to Create an E-Advertising Adaptation Strategy: The AEADS Approach (Short Paper).- Part: Social Interaction in E-Business.- Modelling User Behaviour in Online Q&A Communities for Customer Support.