Semantic Search On Text And Knowledge Bases

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Semantic Search on Text and Knowledge Bases

Author : Hannah Bast
Publisher :
ISBN 13 : 9781680831658
Total Pages : 152 pages
Book Rating : 4.8/5 (316 download)

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Book Synopsis Semantic Search on Text and Knowledge Bases by : Hannah Bast

Download or read book Semantic Search on Text and Knowledge Bases written by Hannah Bast and published by . This book was released on 2016 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This article provides a comprehensive overview of the broad area of semantic search on text and knowledge bases. In a nutshell, semantic search is "search with meaning". This "meaning" can refer to various parts of the search process: understanding the query (instead of just finding matches of its components in the data), understanding the data (instead of just searching it for such matches), or representing knowledge in a way suitable for meaningful retrieval. Semantic search is studied in a variety of different communities with a variety of different views of the problem. In this survey, we classify this work according to two dimensions: the type of data (text, knowledge bases, combinations of these) and the kind of search (keyword, structured, natural language). We consider all nine combinations. The focus is on fundamental techniques, concrete systems, and benchmarks. The survey also considers advanced issues: ranking, indexing, ontology matching and merging, and inference. It also provides a succinct overview of natural language processing techniques that are useful for semantic search: POS tagging, named-entity recognition and disambiguation, sentence parsing, and word vectors. The survey is as self-contained as possible, and should thus also serve as a good tutorial for newcomers to this fascinating and highly topical field.

Semantic Search on Text and Knowledge Bases

Author : Hannah Bast
Publisher :
ISBN 13 : 9781680831641
Total Pages : 170 pages
Book Rating : 4.8/5 (316 download)

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Book Synopsis Semantic Search on Text and Knowledge Bases by : Hannah Bast

Download or read book Semantic Search on Text and Knowledge Bases written by Hannah Bast and published by . This book was released on 2016-06-07 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a comprehensive overview of the broad area of semantic search on text and knowledge bases. It is as self-contained as possible, and serves as a good tutorial for newcomers to this fascinating and highly topical field.

Towards Precise and Convenient Semantic Search on Text and Knowledge Bases

Author : Elmar Haussmann
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (14 download)

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Book Synopsis Towards Precise and Convenient Semantic Search on Text and Knowledge Bases by : Elmar Haussmann

Download or read book Towards Precise and Convenient Semantic Search on Text and Knowledge Bases written by Elmar Haussmann and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: In this dissertation, we consider the problem of making semantic search on text and knowledge bases more precise and convenient. In a nutshell, semantic search is search with meaning. To this respect, text and knowledge bases have different advantages and disadvantages. Large amounts of text are easily available on the web, and they contain a wealth of information in natural language. However, text represents information in an unstructured form. It follows no pre-defined schema, and without further processing, a machine can understand its meaning only on a superficial level. Knowledge bases, on the other hand, contain structured information in the form of subject-predicate-object triples. The meaning of triples is well defined, and triples can be retrieved precisely via a query language. However, formulating queries in this language is inconvenient and compared to text only a small fraction of information is currently available in knowledge bases. In this document, we summarize our contributions on making semantic search on text and knowledge bases more precise and convenient. For knowledge bases, we introduce an approach to answer natural language questions. A user can pose questions conveniently in natural language and ask, for example, "who is the ceo of apple?", instead of having to learn and use a specific query language. Our approach applies learning-to-rank strategies and improved the state of the art on two widely used benchmarks at the time of publication. For knowledge bases, we also describe a novel approach to compute relevance scores for triples from type-like relations like profession and nationality. For example, on a large knowledge base, a query for "american actors" can return a list of more than 60 thousand actors in no particular order. Relevance scores allow to sort this list so that, e.g., frequent lead actors appear before those who only had single cameo roles. In a benchmark that we generated via crowdsourcing, we show that our rankings are closer to human judgments than approaches from the literature. Finally, for text, we introduce a novel natural language processing technique that identifies which words in a sentence "semantically belong together". For example, in the sentence "Bill Gates, founder of Microsoft, and Jeff Bezos, founder of Amazon, are among the wealthiest persons in the world", the words "Bill Gates", "founder", and "Amazon" do not belong together, but the words "Bill Gates", "founder", and "Micros ...

Linked Lexical Knowledge Bases

Author : Iryna Gurevych
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681731843
Total Pages : 202 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Linked Lexical Knowledge Bases by : Iryna Gurevych

Download or read book Linked Lexical Knowledge Bases written by Iryna Gurevych and published by Morgan & Claypool Publishers. This book was released on 2016-07-19 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book conveys the fundamentals of Linked Lexical Knowledge Bases (LLKB) and sheds light on their different aspects from various perspectives, focusing on their construction and use in natural language processing (NLP). It characterizes a wide range of both expert-based and collaboratively constructed lexical knowledge bases. Only basic familiarity with NLP is required and this book has been written for both students and researchers in NLP and related fields who are interested in knowledge-based approaches to language analysis and their applications. Lexical Knowledge Bases (LKBs) are indispensable in many areas of natural language processing, as they encode human knowledge of language in machine readable form, and as such, they are required as a reference when machines attempt to interpret natural language in accordance with human perception. In recent years, numerous research efforts have led to the insight that to make the best use of available knowledge, the orchestrated exploitation of different LKBs is necessary. This allows us to not only extend the range of covered words and senses, but also gives us the opportunity to obtain a richer knowledge representation when a particular meaning of a word is covered in more than one resource. Examples where such an orchestrated usage of LKBs proved beneficial include word sense disambiguation, semantic role labeling, semantic parsing, and text classification. This book presents different kinds of automatic, manual, and collaborative linkings between LKBs. A special chapter is devoted to the linking algorithms employing text-based, graph-based, and joint modeling methods. Following this, it presents a set of higher-level NLP tasks and algorithms, effectively utilizing the knowledge in LLKBs. Among them, you will find advanced methods, e.g., distant supervision, or continuous vector space models of knowledge bases (KB), that have become widely used at the time of this book's writing. Finally, multilingual applications of LLKB's, such as cross-lingual semantic relatedness and computer-aided translation are discussed, as well as tools and interfaces for exploring LLKBs, followed by conclusions and future research directions.

Semantic Search for Novel Information

Author : M. Färber
Publisher : IOS Press
ISBN 13 : 1614997756
Total Pages : 214 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Semantic Search for Novel Information by : M. Färber

Download or read book Semantic Search for Novel Information written by M. Färber and published by IOS Press. This book was released on 2017-07-18 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, new approaches are presented for detecting and extracting simultaneously relevant and novel information from unstructured text documents. A major contribution of these approaches is that the information already provided and the extracted information are modeled semantically. This leads to the following benefits: (a) ambiguities in the language can be resolved; (b) the exact information needs regarding relevance and novelty can be specified; and (c) knowledge graphs can be incorporated. More specifically, this book presents the following scientific contributions: 1. An assessment of the suitability of existing large knowledge graphs (namely, DBpedia, Freebase, OpenCyc, Wikidata, and YAGO) for the task of detecting novel information in text documents. 2. A description of an approach by which emerging entities that are missing in a knowledge graph are detected in a stream of text documents. 3. A suggestion for an approach to extracting novel, relevant, semantically-structured statements from text documents. The developed approaches are suitable for the recommendation of emerging entities and novel statements respectively, for the purpose of knowledge graph population, and for providing assistance to users requiring novel information, such as journalists and technology scouts.

Entity-Oriented Search

Author : Krisztian Balog
Publisher : Springer
ISBN 13 : 3319939351
Total Pages : 358 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Entity-Oriented Search by : Krisztian Balog

Download or read book Entity-Oriented Search written by Krisztian Balog and published by Springer. This book was released on 2018-10-02 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers all facets of entity-oriented search—where “search” can be interpreted in the broadest sense of information access—from a unified point of view, and provides a coherent and comprehensive overview of the state of the art. It represents the first synthesis of research in this broad and rapidly developing area. Selected topics are discussed in-depth, the goal being to establish fundamental techniques and methods as a basis for future research and development. Additional topics are treated at a survey level only, containing numerous pointers to the relevant literature. A roadmap for future research, based on open issues and challenges identified along the way, rounds out the book. The book is divided into three main parts, sandwiched between introductory and concluding chapters. The first two chapters introduce readers to the basic concepts, provide an overview of entity-oriented search tasks, and present the various types and sources of data that will be used throughout the book. Part I deals with the core task of entity ranking: given a textual query, possibly enriched with additional elements or structural hints, return a ranked list of entities. This core task is examined in a number of different variants, using both structured and unstructured data collections, and numerous query formulations. In turn, Part II is devoted to the role of entities in bridging unstructured and structured data. Part III explores how entities can enable search engines to understand the concepts, meaning, and intent behind the query that the user enters into the search box, and how they can provide rich and focused responses (as opposed to merely a list of documents)—a process known as semantic search. The final chapter concludes the book by discussing the limitations of current approaches, and suggesting directions for future research. Researchers and graduate students are the primary target audience of this book. A general background in information retrieval is sufficient to follow the material, including an understanding of basic probability and statistics concepts as well as a basic knowledge of machine learning concepts and supervised learning algorithms.

Google Semantic Search

Author : Dave Amerland
Publisher : Pearson Education
ISBN 13 : 0789751348
Total Pages : 240 pages
Book Rating : 4.7/5 (897 download)

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Book Synopsis Google Semantic Search by : Dave Amerland

Download or read book Google Semantic Search written by Dave Amerland and published by Pearson Education. This book was released on 2013 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimize Your Sites for Today's Radically New Semantic Search Breakthrough "semantic search" techniques are already transforming Google(tm)'s search results. If you want to be found, yesterday's SEO techniques won't cut it anymore. Google Semantic Search tells you what to do instead--in plain English. David Amerland demystifies Knowledge Graph(tm), TrustRank(tm), AuthorityRank(tm), personalized and mobile search, social media activity, and much more. Drawing on deep knowledge of Google's internal workings and newest patents, he also reveals the growing impact of social networks on your SEO performance. Whether you do it yourself or supervise an agency, this is your complete playbook for next-generation SEO! * Learn how Google is delivering answers, not just links--and what it means to you * Profit from Google Now(tm) and the fragmented, personalized future of search * Prepare for Knowledge Graph(tm) by growing your online reputation, authority, and trust * Stop using 10 common SEO techniques that no longer work * Discover the truth about Trust Ranking(tm)--and 10 steps to take right now * Go way beyond keywords in today's new era of content marketing * Strengthen the "social signal" you create on Twitter, Facebook, Google+, and LinkedIn * See why the "First Page of Google" is rapidly become obsolete * Drive unprecedented business value from your online identity and influence * Learn how Google captures meaning in unstructured data--and give it what it wants * Plan for all "4 Vs" of semantic search: Volume, Velocity, Variety, and Veracity * Rapidly transition from technical to strategic search optimization http://helpmyseo.com/google-semantic-search.html

Semantic Applications

Author : Thomas Hoppe
Publisher : Springer
ISBN 13 : 366255433X
Total Pages : 284 pages
Book Rating : 4.6/5 (625 download)

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Book Synopsis Semantic Applications by : Thomas Hoppe

Download or read book Semantic Applications written by Thomas Hoppe and published by Springer. This book was released on 2018-04-13 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes methodologies for developing semantic applications. Semantic applications are software applications which explicitly or implicitly use the semantics, i.e. the meaning of a domain terminology, in order to improve usability, correctness, and completeness. An example is semantic search, where synonyms and related terms are used for enriching the results of a simple text-based search. Ontologies, thesauri or controlled vocabularies are the centerpiece of semantic applications. The book includes technological and architectural best practices for corporate use. The authors are experts from industry and academia with experience in developing semantic applications.

Reasoning Web. Learning, Uncertainty, Streaming, and Scalability

Author : Claudia d’Amato
Publisher : Springer
ISBN 13 : 3030003388
Total Pages : 248 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Reasoning Web. Learning, Uncertainty, Streaming, and Scalability by : Claudia d’Amato

Download or read book Reasoning Web. Learning, Uncertainty, Streaming, and Scalability written by Claudia d’Amato and published by Springer. This book was released on 2018-09-14 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains lecture notes of the 14th Reasoning Web Summer School (RW 2018), held in Esch-sur-Alzette, Luxembourg, in September 2018. The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can make RDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.

Semantics in Data and Knowledge Bases

Author : Klaus-Dieter Schewe
Publisher : Springer
ISBN 13 : 3642360084
Total Pages : 207 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Semantics in Data and Knowledge Bases by : Klaus-Dieter Schewe

Download or read book Semantics in Data and Knowledge Bases written by Klaus-Dieter Schewe and published by Springer. This book was released on 2013-01-03 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Workshop on Semantics in Data and Knowledge Bases, SDKB 2011, held in July 2011 in Zürich, Switzerland. The 8 revised full papers presented were carefully selected from numerous submissions covering topics of formal models for data and knowledge bases, integrity constraints maintenance and dependency theory, formal methods for data and knowledge base design, reasoning about data and knowledge base dynamics, adaptivity for personalised data and knowledge bases view-centered data- and knowledge-intensive systems, information integration in data and knowledge bases, knowledge discovery in data and knowledge bases, validation and verification of data and knowledge base designs, formal linguistics for data and knowledge bases, logical and mathematical foundations of semantics, semantics in data- and knowledge-intensive applications.

Information Modelling and Knowledge Bases XX

Author : Yasushi Kiyoki
Publisher : IOS Press
ISBN 13 : 1586039571
Total Pages : 464 pages
Book Rating : 4.5/5 (86 download)

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Book Synopsis Information Modelling and Knowledge Bases XX by : Yasushi Kiyoki

Download or read book Information Modelling and Knowledge Bases XX written by Yasushi Kiyoki and published by IOS Press. This book was released on 2009 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on theoretical disciplines including cognitive science, artificial intelligence, logic, linguistics and analytical philosophy.

The Semantic Web: Research and Applications

Author : Asuncion Gómez-Pérez
Publisher : Springer Science & Business Media
ISBN 13 : 3540261249
Total Pages : 743 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis The Semantic Web: Research and Applications by : Asuncion Gómez-Pérez

Download or read book The Semantic Web: Research and Applications written by Asuncion Gómez-Pérez and published by Springer Science & Business Media. This book was released on 2005-05-20 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second European Semantic Web Conference, ESWC 2005, heldin Heraklion, Crete, Greece in May/June 2005. The 48 revised full papers presented were carefully reviewed and selected from 148 submissions. The papers are organized in topical sections on semantic Web services, languages, ontologies, reasoning and querying, search and information retrieval, user and communities, natural language for the semantic Web, annotation tools, and semantic Web applications.

Semantics in Data and Knowledge Bases

Author : Klaus-Dieter Schewe
Publisher : Springer
ISBN 13 : 3642234410
Total Pages : 142 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Semantics in Data and Knowledge Bases by : Klaus-Dieter Schewe

Download or read book Semantics in Data and Knowledge Bases written by Klaus-Dieter Schewe and published by Springer. This book was released on 2011-09-06 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Semantics in Data and Knowledge Bases, SDKB 2010, held in Bordeaux, France in July 2010. The 6 revised full papers presented together with an introductory survey by the volume editors were carefully reviewed and selected during two rounds of revision and improvement. The papers reflect a variety of approaches to semantics in data and knowledge bases.

Database and Expert Systems Applications

Author : Sven Hartmann
Publisher : Springer
ISBN 13 : 303027618X
Total Pages : 480 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Database and Expert Systems Applications by : Sven Hartmann

Download or read book Database and Expert Systems Applications written by Sven Hartmann and published by Springer. This book was released on 2019-08-19 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set of LNCS 11706 and LNCS 11707 constitutes the refereed proceedings of the 30th International Conference on Database and Expert Systems Applications, DEXA 2019, held in Linz, Austria, in August 2019. The 32 full papers presented together with 34 short papers were carefully reviewed and selected from 157 submissions. The papers are organized in the following topical sections: Part I: Big data management and analytics; data structures and data management; management and processing of knowledge; authenticity, privacy, security and trust; consistency, integrity, quality of data; decision support systems; data mining and warehousing. Part II: Distributed, parallel, P2P, grid and cloud databases; information retrieval; Semantic Web and ontologies; information processing; temporal, spatial, and high dimensional databases; knowledge discovery; web services.

The Semantic Web for Knowledge and Data Management

Author : Ma, Zongmin
Publisher : IGI Global
ISBN 13 : 1605660299
Total Pages : 386 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis The Semantic Web for Knowledge and Data Management by : Ma, Zongmin

Download or read book The Semantic Web for Knowledge and Data Management written by Ma, Zongmin and published by IGI Global. This book was released on 2008-08-31 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a single record of technologies and practices of the Semantic approach to the management, organization, interpretation, retrieval, and use of Web-based data.

Semantic Systems. The Power of AI and Knowledge Graphs

Author : Maribel Acosta
Publisher : Springer Nature
ISBN 13 : 3030332209
Total Pages : 400 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Semantic Systems. The Power of AI and Knowledge Graphs by : Maribel Acosta

Download or read book Semantic Systems. The Power of AI and Knowledge Graphs written by Maribel Acosta and published by Springer Nature. This book was released on 2019-11-04 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book constitutes the refereed proceedings of the 15th International Conference on Semantic Systems, SEMANTiCS 2019, held in Karlsruhe, Germany, in September 2019. The 20 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 88 submissions. They cover topics such as: web semantics and linked (open) data; machine learning and deep learning techniques; semantic information management and knowledge integration; terminology, thesaurus and ontology management; data mining and knowledge discovery; semantics in blockchain and distributed ledger technologies.

Semantic Keyword-Based Search on Structured Data Sources

Author : Julian Szymański
Publisher : Springer
ISBN 13 : 3319744976
Total Pages : 273 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Semantic Keyword-Based Search on Structured Data Sources by : Julian Szymański

Download or read book Semantic Keyword-Based Search on Structured Data Sources written by Julian Szymański and published by Springer. This book was released on 2018-02-07 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Third COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2017, held in Gdańsk, Poland, in September 2017. The 13 revised full papers and 5 short papers included in the first part of the book were carefully reviewed and selected from numerous submissions. The second part contains reports that summarize the major activities and achievements that have taken place in the context of the action: the short term scientific missions, the outcome of the summer schools, and the results achieved within the following four work packages: representation of structured data sources; keyword search; user interaction and keyword query interpretation; and research integration, showcases, benchmarks and evaluations. Also included is a short report generated by the chairs of the action. The papers cover a broad range of topics in the area of keyword search combining expertise from many different related fields such as information retrieval, natural language processing, ontology management, indexing, semantic web and linked data.