Process-oriented Semantic Web Search ( Studies on the Semantic Web )

Publication series :Studies on the Semantic Web

Author: Tran   D.T.;  

Publisher: Ios Press‎

Publication year: 2011

E-ISBN: 9781614993445

P-ISBN(Hardback):  9781607507161

Subject: TP Automation Technology , Computer Technology

Keyword: null 自动化技术、计算机技术

Language: ENG

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Description

The book is composed of two main parts. The first part is a general study of Semantic Web Search. The second part specifically focuses on the use of semantics throughout the search process, compiling a big picture of Process-oriented Semantic Web Search from different pieces of work that target specific aspects of the process.In particular, this book provides a rigorous account of the concepts and technologies proposed for searching resources and semantic data on the Semantic Web. To collate the various approaches and to better understand what the notion of Semantic Web Search entails, this book presents a general Semantic Web Search model. With respect to this model, the book provides a comprehensive discussion of the state-of-the-art. It elaborates on approaches for crawling, managing and searching Semantic Web resources as well as the various schemes proposed for ranking search results. Besides these specific approaches, search is also studied in a general multi-data-source scenario. This shall demonstrate how this work on search is extended and applied to the Web setting.A major feature of the book is that it considers search and the use of semantics for search also from a process point of view. Extending the general model, the book introduces the notion of Process-oriented Semantic Web Search, where semantics is exploited throughout the entire search process – from query construction to query processing up to result presentation and query refinement. Specific pieces of work targeting these individual steps of the process are combined to form a coherent and consistent picture of Process-oriented Semantic Web Search. In order to convey this general notion as well as the specific concepts and technologies developed for supporting the search process, this book presents a compilation of work called SemSearchPro and provides detailed descriptions on the underlying approaches.

Chapter

Data Retrieval

Document Retrieval

Data on the Semantic Web

Data and Metadata

Data and Document Models

Semantics and Semantic Data

Ontologies

Linked Data

Embedded Semantic Data

Queries on the Semantic Web

Keyword Queries

Conjunctive Queries

SPARQL Queries

Semantic Search

Basic Semantic Search Model

Process-Oriented Semantic Search Model

Semantic Web Search

Conclusions

Chapter 3. The State of the Art of Semantic Web Search

Introduction

Objectives and Challenges

Crawling Semantic Data

Managing and Querying Semantic Data

IR-based Approaches

DB-based Approaches

Native Approaches

Ranking Semantic Data

Query-independent Ranking

Query-dependent Ranking

Semantic Data Retrieval on the Web

Federated Query Processing

Data Integration

Conclusions

Chapter 4. Supporting the Semantic Web Search Process

Introduction

Data and Queries in SemSearchPro

System Resource Model

System Query Model

Semantic Model

Process-oriented Schema-agnostic Search With SemSearch-Pro

The Search Process in SemSearchPro

Offline Pseudo-Schema Construction in SemSearch-Pro

Query Construction in SemSearchPro

Query Processing in SemSearchPro

Result Presentation in SemSearchPro

Query Refinement in SemSearchPro

Process-oriented Schema-agnostic Search Systems

Close Environment: Single-Source Search in Semantic Wiki

Open Environment: Multi-Source Search on Linked Open Data

Beyond Search: Interacting with Linked Open Data

Process-oriented Schema-agnostic Search User Study

Evaluation Setting

Tasks

System and Data

Effectiveness

Efficiency

Usefulness

Conclusions

Chapter 5. Query Construction and Refinement

Introduction

Schema-agnostic Query Construction and Refinement Approaches

Keyword-driven Schema-agnostic Search

Keyword-driven Schema-agnostic Search Process

Keyword Search and Resource-based Browsing

Keyword Search and Facet-based Browsing & Search

Keyword Search and Result Completion

Keyword Search and Query Completion

Schema-agnostic Query Construction in SemSearchPro

Overview of the Approach

Offline Data Indexing

Offline Data Scoring

Online Query Translation

Comparison to Related Work

An Empirical Study of Query Construction and Refinement

Evaluation of Query Construction in SemSearchPro

Evaluation of Schema-agnostic Construction & Refinement Approaches

Conclusions

Chapter 6. Query Processing

Introduction

Schema-agnostic Query Processing Approaches

Schema-agnostic Query Processing Using Structure Index

Optimized Query Processing Using Structure Index

Schema-agnostic Query Processing in SemSearchPro

The Query Processing Problem

The State of the Art in RDF Data Management

Overview and Main Contributions

Structure-based Approach

Optimized Query Processing

Algorithm Analysis

Comparison to Related Work

An Empirical Study of Query Processing in SemSearchPro

Datasets and Indexes

Queries

Systems

Evaluation Setting

Structure-based Approach vs. Baseline

The Results of Optimization

Conclusions

Chapter 7. Conclusions

Bibliography

Index

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