Document Similarity and Structure
Author | : Zainal Arifin Hasibuan |
Publisher | : |
Total Pages | : 276 |
Release | : 1995 |
Genre | : Bibliographical citations |
ISBN | : |
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Author | : Zainal Arifin Hasibuan |
Publisher | : |
Total Pages | : 276 |
Release | : 1995 |
Genre | : Bibliographical citations |
ISBN | : |
Author | : D. Buttler |
Publisher | : |
Total Pages | : 9 |
Release | : 2004 |
Genre | : |
ISBN | : |
This paper provides a brief survey of document structural similarity algorithms, including the optimal Tree Edit Distance algorithm and various approximation algorithms. The approximation algorithms include the simple weighted tag similarity algorithm, Fourier transforms of the structure, and a new application of the shingle technique to structural similarity. We show three surprising results. First, the Fourier transform technique proves to be the least accurate of any of approximation algorithms, while also being slowest. Second, optimal Tree Edit Distance algorithms may not be the best technique for clustering pages from different sites. Third, the simplest approximation to structure may be the most effective and efficient mechanism for many applications.
Author | : Waraporn Viyanon |
Publisher | : |
Total Pages | : 246 |
Release | : 2010 |
Genre | : XML (Document markup language) |
ISBN | : |
"XML (eXtensible Mark-up Language) has become the fundamental standard for efficient data management and exchange. Due to the widespread use of XML for describing and exchanging data on the web, XML-based comparison is central issues in database management and information retrieval. In fact, although many heterogeneous XML sources have similar content, they may be described using different tag names and structures. This work proposes a series of algorithms for detection of structural and content changes among XML data. The first is an algorithm called XDoI (XML Data Integration Based on Content and Structure Similarity Using Keys) that clusters XML documents into subtrees using leaf-node parents as clustering points. This algorithm matches subtrees using the key concept and compares unmatched subtrees for similarities in both content and structure. The experimental results show that this approach finds much more accurate matches with or without the presence of keys in the subtrees. A second algorithm proposed here is called XDI-CSSK (a system for detecting xml similarity in content and structure using relational database); it eliminates unnecessary clustering points using instance statistics and a taxonomic analyzer. As the number of subtrees to be compared is reduced, the overall execution time is reduced dramatically. Semantic similarity plays a crucial role in precise computational similarity measures. A third algorithm, called XML-SIM (structure and content semantic similarity detection using keys) is based on previous work to detect XML semantic similarity based on structure and content. This algorithm is an improvement over XDI-CSSK and XDoI in that it determines content similarity based on semantic structural similarity. In an experimental evaluation, it outperformed previous approaches in terms of both execution time and false positive rates. Information changes periodically; therefore, it is important to be able to detect changes among different versions of an XML document and use that information to identify semantic similarities. Finally, this work introduces an approach to detect XML similarity and thus to join XML document versions using a change detection mechanism. In this approach, subtree keys still play an important role in order to avoid unnecessary subtree comparisons within multiple versions of the same document. Real data sets from bibliographic domains demonstrate the effectiveness of all these algorithms"--Abstract, leaves iv-v.
Author | : Initiative for the Evaluation of XML Retrieval (Project). International Workshop |
Publisher | : Springer Science & Business Media |
Total Pages | : 564 |
Release | : 2007-08-22 |
Genre | : Computers |
ISBN | : 3540738878 |
This book constitutes the thoroughly refereed post-proceedings of the 5th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2006, held at Dagstuhl Castle, Germany, in December 2006. The papers are organized in topical sections on methodology and seven additional tracks on ad-hoc, natural language processing, heterogeneous collection, multimedia, interactive, use case, as well as document mining.
Author | : Heather Christo |
Publisher | : Penguin |
Total Pages | : 354 |
Release | : 2016-05-10 |
Genre | : Cooking |
ISBN | : 0553459260 |
2017 James Beard Foundation Book Award nominee The most beautiful and comprehensive resource available for anyone facing food allergies — or cooking for someone who does — with 150 shockingly tasty recipes. Allergen-free cooking has never been easier or more appealing than in these recipes made entirely without dairy, soy, nuts, peanuts, gluten, seafood, cane sugar, or eggs. Created by a mother (and power blogger) whose young children were diagnosed with severe food allergies and herself has multiple food sensitivities, this collection of family-friendly recipes means no more need to make multiple meals; everyone can enjoy every single dish because all are free of the major allergy triggers. With an 8-week elimination diet to help readers identify allergens and a game plan for transitioning to a cleaner, safer way of eating that is kid-tested and parent-approved, Pure Delicious changes cooking for the family from a minefield to an act of love.
Author | : Laurent Amsaleg |
Publisher | : Springer |
Total Pages | : 344 |
Release | : 2016-09-26 |
Genre | : Computers |
ISBN | : 331946759X |
This book constitutes the proceedings of the 9th International Conference on Similarity Search and Applications, SISAP 2016, held in Tokyo, Japan, in October 2016. The 18 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 47 submissions. The program of the conference was grouped in 8 categories as follows: graphs and networks; metric and permutation-based indexing; multimedia; text and document similarity; comparisons and benchmarks; hashing techniques; time-evolving data; and scalable similarity search.
Author | : Mohand-Said Hacid |
Publisher | : Springer |
Total Pages | : 626 |
Release | : 2003-08-02 |
Genre | : Computers |
ISBN | : 3540480501 |
This book constitutes the refereed proceedings of the 13th International Symposium on Methodologies for Intelligent Systems, ISMIS 2002, held in Lyon, France, in June 2002. The 63 revised full papers presented were carefully reviewed and selected from around 160 submissions. The book offers topical sections on learning and knowledge discovery, intelligent user interfaces and ontologies, logic for AI, knowledge representation and reasoning, intelligent information retrieval, soft computing, intelligent information systems, and methodologies.
Author | : Benjamin Bengfort |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 328 |
Release | : 2018-06-11 |
Genre | : Computers |
ISBN | : 1491962992 |
From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity
Author | : Zhengxin Chen |
Publisher | : CRC Press |
Total Pages | : 408 |
Release | : 1999-11-24 |
Genre | : Computers |
ISBN | : 9781420049145 |
Intelligent decision support relies on techniques from a variety of disciplines, including artificial intelligence and database management systems. Most of the existing literature neglects the relationship between these disciplines. By integrating AI and DBMS, Computational Intelligence for Decision Support produces what other texts don't: an explanation of how to use AI and DBMS together to achieve high-level decision making. Threading relevant disciplines from both science and industry, the author approaches computational intelligence as the science developed for decision support. The use of computational intelligence for reasoning and DBMS for retrieval brings about a more active role for computational intelligence in decision support, and merges computational intelligence and DBMS. The introductory chapter on technical aspects makes the material accessible, with or without a decision support background. The examples illustrate the large number of applications and an annotated bibliography allows you to easily delve into subjects of greater interest. The integrated perspective creates a book that is, all at once, technical, comprehensible, and usable. Now, more than ever, it is important for science and business workers to creatively combine their knowledge to generate effective, fruitful decision support. Computational Intelligence for Decision Support makes this task manageable.
Author | : Kam-Pui Chow |
Publisher | : Springer |
Total Pages | : 317 |
Release | : 2010-11-26 |
Genre | : Computers |
ISBN | : 3642155065 |
Advances in Digital Forensics VI describes original research results and innovative applications in the discipline of digital forensics. In addition, it highlights some of the major technical and legal issues related to digital evidence and electronic crime investigations. The areas of coverage include: Themes and Issues, Forensic Techniques, Internet Crime Investigations, Live Forensics, Advanced Forensic Techniques, and Forensic Tools. This book is the sixth volume in the annual series produced by the International Federation for Information Processing (IFIP) Working Group 11.9 on Digital Forensics, an international community of scientists, engineers and practitioners dedicated to advancing the state of the art of research and practice in digital forensics. The book contains a selection of twenty-one edited papers from the Sixth Annual IFIP WG 11.9 International Conference on Digital Forensics, held at the University of Hong Kong, Hong Kong, China, in January 2010.