Search (5 results, page 1 of 1)

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Abstract

The Web has become the world's largest database, with search being the main tool that allows organizations and individuals to exploit its huge amount of information. Search on the Web has been traditionally based on textual and structural similarities, ignoring to a large degree the semantic dimension, i.e., understanding the meaning of the query and of the document content. Combining search and semantics gives birth to the idea of semantic search. Traditional search engines have already advertised some semantic dimensions. Some of them, for instance, can enhance their generated result sets with documents that are semantically related to the query terms even though they may not include these terms. Nevertheless, the exploitation of the semantic search has not yet reached its full potential. In this book, Roberto De Virgilio, Francesco Guerra and Yannis Velegrakis present an extensive overview of the work done in Semantic Search and other related areas. They explore different technologies and solutions in depth, making their collection a valuable and stimulating reading for both academic and industrial researchers. The book is divided into three parts. The first introduces the readers to the basic notions of the Web of Data. It describes the different kinds of data that exist, their topology, and their storing and indexing techniques. The second part is dedicated to Web Search. It presents different types of search, like the exploratory or the path-oriented, alongside methods for their efficient and effective implementation. Other related topics included in this part are the use of uncertainty in query answering, the exploitation of ontologies, and the use of semantics in mashup design and operation. The focus of the third part is on linked data, and more specifically, on applying ideas originating in recommender systems on linked data management, and on techniques for the efficiently querying answering on linked data.

Content

Inhalt: Introduction.- Part I Introduction to Web of Data.- Topology of the Web of Data.- Storing and Indexing Massive RDF Data Sets.- Designing Exploratory Search Applications upon Web Data Sources.- Part II Search over the Web.- Path-oriented Keyword Search query over RDF.- Interactive Query Construction for Keyword Search on the SemanticWeb.- Understanding the Semantics of Keyword Queries on Relational DataWithout Accessing the Instance.- Keyword-Based Search over Semantic Data.- Semantic Link Discovery over Relational Data.- Embracing Uncertainty in Entity Linking.- The Return of the Entity-Relationship Model: Ontological Query Answering.- Linked Data Services and Semantics-enabled Mashup.- Part III Linked Data Search engines.- A Recommender System for Linked Data.- Flint: from Web Pages to Probabilistic Semantic Data.- Searching and Browsing Linked Data with SWSE.

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Abstract

As the World Wide Web continues to expand, it becomes increasingly difficult for users to obtain information efficiently. Because most search engines read format languages such as HTML or SGML, search results reflect formatting tags more than actual page content, which is expressed in natural language. Spinning the Semantic Web describes an exciting new type of hierarchy and standardization that will replace the current "Web of links" with a "Web of meaning." Using a flexible set of languages and tools, the Semantic Web will make all available information - display elements, metadata, services, images, and especially content - accessible. The result will be an immense repository of information accessible for a wide range of new applications. This first handbook for the Semantic Web covers, among other topics, software agents that can negotiate and collect information, markup languages that can tag many more types of information in a document, and knowledge systems that enable machines to read Web pages and determine their reliability. The truly interdisciplinary Semantic Web combines aspects of artificial intelligence, markup languages, natural language processing, information retrieval, knowledge representation, intelligent agents, and databases.

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Content

Inhalt: I. Wie funktionieren Social Software-Angebote? II. Welchen Erklärungsbeitrag leisten bestehende Organisationsansätze und welche Schlüsse muss die Organisationslehre aus den Erfahrungen ziehen? III. Welches sind die Erfolgsfaktoren von Social Software und wie lassen sich Technologie und Erfolgsfaktoren in das Management übertragen und in Unternehmen nutzen?

RSWK

Management / Soziale Software / Leitbild

Subject

Management / Soziale Software / Leitbild

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Date

22. 3.2008 14:24:08

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Abstract

Web Analytics bezeichnet die Sammlung, Analyse und Auswertung von Daten der Website-Nutzung mit dem Ziel, diese Informationen zum besseren Verständnis des Besucherverhaltens sowie zur Optimierung der Website zu nutzen. Je nach Ziel der eigenen Website - z.B. die Vermittlung eines Markenwerts oder die Vermehrung von Kontaktanfragen, Bestellungen oder Newsletter-Abonnements - können Sie anhand von Web Analytics herausfinden, wo sich Schwachstellen Ihrer Website befinden und wie Sie Ihre eigenen Ziele durch entsprechende Optimierungen besser erreichen. Dabei ist Web Analytics nicht nur für Website-Betreiber und IT-Abteilungen interessant, sondern wird insbesondere auch mehr und mehr für Marketing und Management nutzbar. Mit diesem Buch lernen Sie, wie Sie die Nutzung Ihrer Website analysieren. Sie können z. B. untersuchen, welche Traffic-Quelle am meisten Umsatz bringt oder welche Bereiche der Website besonders häufig genutzt werden und vieles mehr. Auf diese Weise werden Sie Ihre Besucher, ihr Verhalten und ihre Motivation besser kennen lernen, Ihre Website darauf abstimmen und somit Ihren Erfolg steigern können. Um aus Web Analytics einen wirklichen Mehrwert ziehen zu können, benötigen Sie fundiertes Wissen. Marco Hassler gibt Ihnen in seinem Buch einen umfassenden Einblick in Web Analytics. Er zeigt Ihnen detailliert, wie das Verhalten der Besucher analysiert wird und welche Metriken Sie wann sinnvoll anwenden können. Im letzten Teil des Buches zeigt Ihnen der Autor, wie Sie Ihre Auswertungsergebnisse dafür nutzen, über Conversion-Messungen die Website auf ihre Ziele hin zu optimieren. Ziel dieses Buches ist es, konkrete Web-Analytics-Kenntnisse zu vermitteln und wertvolle praxisorientierte Tipps zu geben. Dazu schlägt das Buch die Brücke zu tangierenden Themenbereichen wie Usability, User-Centered-Design, Online Branding, Online-Marketing oder Suchmaschinenoptimierung. Marco Hassler gibt Ihnen klare Hinweise und Anleitungen, wie Sie Ihre Ziele erreichen.