Jouis C., Biskri I., Ganascia J.-G., Roux M. (eds.) Next Generation Search Engines. Advanced Models for Information Retrieval

IGI Global, 2012. — 561 p.With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like Wikipedia and ODP. These metadata have to provide classification information for a wide range of topics, as well as for social networking sites like Twitter, and Facebook, each of which provides additional preferences, tagging information and social contexts. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied.
The main goal of this book is to transfer new research results from the fields of advanced computer sciences and information science to the design of new search engines. The readers will have a better idea of the new trends in applied research. The achievement of relevant, organized, sorted, and workable answers – to name but a few – from a search is becoming a daily need for enterprises and organizations, and, to a greater extent, for anyone. It does not consist of getting access to structural information as in standard databases; nor does it consist of searching information strictly by way of a combination of key words. It goes far beyond that. Whatever its modality, the information sought should be identified by the topics it contains, that is to say by its textual, audio, video or graphical contents. This is not a new issue. However, recent technological advances have completely changed the techniques being used. New Web technologies, the emergence of Intranet systems and the abundance of information on the Internet have created the need for efficient search and information access tools.
This book is intended for scientists and decision-makers who wish to gain working knowledge of searches in order to evaluate available solutions and to dialogue with software and data providers. It also targets intranet or Web server designers, developers and administrators who wish to understand how to integrate search technology into their applications according to their needs. This book is further designed for designers, developers and administrators of databases, groupware applications and document management systems (EDM), as well as directors of libraries or documentation centers who seek a deeper understanding of the tools they use, and how to set up new information systems. Lastly, this book is aimed at all professionals in technology or competitive intelligence and, more generally, the specialists of the information market.Section 1 Indexation.
Indexing the World Wide Web: The Journey So Far.
Decentralized Search and the Clustering Paradox in Large Scale Information Networks.
Metadata for Search Engines: What can be Learned from e-Sciences?
Crosslingual Access to Photo Databases.
Fuzzy Ontologies Building Platform for Semantic Web: FOB Platform.
Section 2 Data Mining for Information Retrieval.
Searching and Mining with Semantic Categories.
Semantic Models in Information Retrieval.
The Use of Text Mining Techniques in Electronic Discovery for Legal Matters.
Intelligent Semantic Search Engines for Opinion and Sentiment Mining.
Section 3 Interface.
Human-Centred Web Search.
Extensions of Web Browsers Useful to Knowledge Workers.
Next Generation Search Engine for the Result Clustering Technology.
Using Association Rules for Query Reformulation.
Question Answering.
Finding Answers to Questions, in Text Collections or Web, in Open Domain or Specialty Domains.
Context-Aware Mobile Search Engine.
Spatio-Temporal Based Personalization for Mobile Search.
Section 4 Evaluation.
Studying Web Search Engines from a User Perspective: Key Concepts and Main Approaches.
Artificial Intelligence Enabled Search Engines (AIESE) and the Implications.
A Framework for Evaluating the Retrieval Effectiveness of Search Engines.