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Attributional and Relational Similarity on the Web
79,00 € *
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Measuring similarity is an important first step in numerous tasks in natural language processing. This book investigates two aspects of similarity: attributional similarity and relational similarity. Numerous methods to measure both those types of similarities using the text data available on the World Wide Web are presented in this book. In addition to describing theoretical work on similarity measures, the book demonstrates two interesting application tasks: person name disambiguation and name alias detection. This book can be used as an introductory reading material for students who are interested in conducting research in Web data mining or Web-based statistical natural language processing. The book should also be useful as a comprehensive reference for practitioners in Web data mining because it summarizes numerous similarity measures proposed for the purpose of measuring attributional and relational similarity between word pairs on the Web.

Anbieter: Dodax
Stand: 05.04.2020
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Clustering Information Entities Based On Statis...
61,90 € *
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The booming growth of the World Wide Web has made more and more information available digitally at unprecedented rates and levels of popularity. Also, the Web itself can be considered unprecedented in the almost complete lack of coordination in its creation and in the diversity of backgrounds and motives of its participants. Each of these contributes in making exploratory data analysis hard. In particular, we will focus on one of the steps in exploratory data analysis that is the clustering phase. Clustering is the unsupervised classification of patterns into groups (clusters). In this book, we provide useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners. We describe three important applications of clustering algorithms in Information Retrieval: (1) Similarity Search for High Dimensional Data Points, with the purpose to find Near Duplicate Images, (2) Measuring Latent Variable in Social Sciences, with the aim to visualize Research Communities, and (3) Generative Model for Content Analysis of Natural Language Documents to detect Events.

Anbieter: Dodax
Stand: 05.04.2020
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Semantic Similarity Measures for Knowledge Engi...
130,00 CHF *
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Knowledge management has been considered in the past decades applying techniques to cope with organizing data, information and knowledge. It implements methods to manage knowledge on papers as well as digital ones. Meanwhile, birth of the World Wide Web despite all of its advantages has initiated a number of issues for the researchers due to massiveness of the data on the Web. Therefore, the new knowledge engineering techniques must be automated to save time and effort of man power with considering the Web with a shared understanding of the data among all of its components. To achieve accurate and integrated definition of all available data, machines need to make a unique understanding of all discrete data sources. This book is aimed at presenting existing Measures of Semantic Similarity for resolving foregoing issue. These measures are also useful in tasks such as text categorizing, machine translation and information retrieval. Furthermore, this book introduces two new normalized functions for measuring semantic similarity between two concepts based on first and second order context and information content vectors computed from MEDLINE as the biomedical corpus, UMLS and WordNet.

Anbieter: Orell Fuessli CH
Stand: 05.04.2020
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Attributional and Relational Similarity on the Web
134,00 CHF *
ggf. zzgl. Versand

Measuring similarity is an important first step in numerous tasks in natural language processing. This book investigates two aspects of similarity: attributional similarity and relational similarity. Numerous methods to measure both those types of similarities using the text data available on the World Wide Web are presented in this book. In addition to describing theoretical work on similarity measures, the book demonstrates two interesting application tasks: person name disambiguation and name alias detection. This book can be used as an introductory reading material for students who are interested in conducting research in Web data mining or Web-based statistical natural language processing. The book should also be useful as a comprehensive reference for practitioners in Web data mining because it summarizes numerous similarity measures proposed for the purpose of measuring attributional and relational similarity between word pairs on the Web.

Anbieter: Orell Fuessli CH
Stand: 05.04.2020
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Ontology Alignment
181,90 CHF *
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A large number of information systems use many different individual schemas to represent data. Semantically linking these schemas is a necessary precondition to establish interoperability between agents and services. Consequently, ontology alignment and mapping for data integration has become central to building a world-wide semantic web. Ontology Alignment: Bridging the Semantic Gap introduces novel methods and approaches for semantic integration. In addition to developing new methods for ontology alignment, the author provides extensive explanations of up-to-date case studies. The topic of this book, coupled with the application-focused methodology, will appeal to professionals from a number of different domains. Designed for practitioners and researchers in industry, Ontology Alignment: Bridging the Semantic Web Gap is also suitable for advanced-level students in computer science and electrical engineering. TOC:Introduction and Overview: Motivation, Contribution, Overview.- Foundations: Ontology, Ontology Alignment, Further Terms, Ontology Similarity, Use Cases, Requirements.- Related Work: Theory of Alignment, Existing Alignment Approaches.- Alignment Process: General Ontology Alignment Process, Alignment Approach, Process for Related Approaches, Evaluation.- Advanced Novel Methods: Efficiency, Machine Learning, Active Alignment, Adaptive Alignment, Integrated Approach.- Tools and Applications: Basic Infrastructure, Ontology Mapping Based on Axioms, Ontology Engineering Platform, Semantic Web and Peer-to-Peer (SWAP), Semantically Enabled Knowledge Technologies (SEKT).- Next Steps: Generalization, Complex Alignments, Completeness of Alignments, Outlook.- Conclusion: Content Summary, Assessment of Contributions, Final Statements.

Anbieter: Orell Fuessli CH
Stand: 05.04.2020
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Attributional and Relational Similarity on the Web
71,99 € *
ggf. zzgl. Versand

Measuring similarity is an important first step in numerous tasks in natural language processing. This book investigates two aspects of similarity: attributional similarity and relational similarity. Numerous methods to measure both those types of similarities using the text data available on the World Wide Web are presented in this book. In addition to describing theoretical work on similarity measures, the book demonstrates two interesting application tasks: person name disambiguation and name alias detection. This book can be used as an introductory reading material for students who are interested in conducting research in Web data mining or Web-based statistical natural language processing. The book should also be useful as a comprehensive reference for practitioners in Web data mining because it summarizes numerous similarity measures proposed for the purpose of measuring attributional and relational similarity between word pairs on the Web.

Anbieter: Thalia AT
Stand: 05.04.2020
Zum Angebot
Ontology Alignment
154,00 € *
ggf. zzgl. Versand

A large number of information systems use many different individual schemas to represent data. Semantically linking these schemas is a necessary precondition to establish interoperability between agents and services. Consequently, ontology alignment and mapping for data integration has become central to building a world-wide semantic web. Ontology Alignment: Bridging the Semantic Gap introduces novel methods and approaches for semantic integration. In addition to developing new methods for ontology alignment, the author provides extensive explanations of up-to-date case studies. The topic of this book, coupled with the application-focused methodology, will appeal to professionals from a number of different domains. Designed for practitioners and researchers in industry, Ontology Alignment: Bridging the Semantic Web Gap is also suitable for advanced-level students in computer science and electrical engineering. TOC:Introduction and Overview: Motivation, Contribution, Overview.- Foundations: Ontology, Ontology Alignment, Further Terms, Ontology Similarity, Use Cases, Requirements.- Related Work: Theory of Alignment, Existing Alignment Approaches.- Alignment Process: General Ontology Alignment Process, Alignment Approach, Process for Related Approaches, Evaluation.- Advanced Novel Methods: Efficiency, Machine Learning, Active Alignment, Adaptive Alignment, Integrated Approach.- Tools and Applications: Basic Infrastructure, Ontology Mapping Based on Axioms, Ontology Engineering Platform, Semantic Web and Peer-to-Peer (SWAP), Semantically Enabled Knowledge Technologies (SEKT).- Next Steps: Generalization, Complex Alignments, Completeness of Alignments, Outlook.- Conclusion: Content Summary, Assessment of Contributions, Final Statements.

Anbieter: Thalia AT
Stand: 05.04.2020
Zum Angebot