000 06560nam a22006851i 4500
001 8436567
003 IEEE
005 20200413152927.0
006 m eo d
007 cr cn |||m|||a
008 180829s2018 caua foab 001 0 eng d
020 _a9781681734095
_qebook
020 _z9781681734101
_qhardcover
020 _z9781681734088
_qpaperback
024 7 _a10.2200/S00866ED1V01Y201807DTM049
_2doi
035 _a(CaBNVSL)swl000408651
035 _a(OCoLC)1050333994
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQA76.9.N38
_bL55 2018
082 0 4 _a006.35
_223
100 1 _aLi, Yunyao,
_eauthor.
245 1 0 _aNatural language data management and interfaces /
_cYunyao Li, Davood Rafiei.
264 1 _a[San Rafael, California] :
_bMorgan & Claypool,
_c2018.
300 _a1 PDF (xix, 136 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aSynthesis lectures on data management,
_x2153-5426 ;
_v# 49
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader.
500 _aPart of: Synthesis digital library of engineering and computer science.
504 _aIncludes bibliographical references (pages 113-129) and index.
505 0 _a1. Introduction --
505 8 _a2. Background -- 2.1 Part-of-speech tagging -- 2.2 Morphological analysis -- 2.3 Syntactic and dependency parsing -- 2.4 Semantic parsing -- 2.5 Question answering -- 2.6 Dialog system --
505 8 _a3. Natural language data management -- 3.1 Overview -- 3.2 Data sources -- 3.3 Data models -- 3.3.1 Interpreting context as schema -- 3.3.2 Mapping content to more formal models -- 3.4 Queries -- 3.4.1 Boolean keyword queries -- 3.4.2 Grammar-based searches -- 3.4.3 Text pattern queries -- 3.4.4 Tree pattern queries -- 3.4.5 Combining text and tree pattern queries -- 3.4.6 Summary -- 3.5 Indexing natural language text -- 3.5.1 Indexing for text pattern queries -- 3.5.2 Indexing for tree pattern queries -- 3.5.3 Summary -- 3.6 Transforming natural language text -- 3.6.1 Meaning Representation -- 3.6.2 Meaning of words -- 3.6.3 Computing word semantics -- 3.6.4 Meaning of sentences -- 3.6.5 Information extraction -- 3.6.6 Entity linking -- 3.6.7 Summary and discussions -- 3.7 Summary --
505 8 _a4. Natural language interfaces to databases -- 4.1 Overview -- 4.1.1 Anatomy -- 4.1.2 Challenges -- 4.1.3 Summary -- 4.2 Query understanding -- 4.2.1 Scope -- 4.2.2 Stateless vs. stateful -- 4.2.3 Parser error handling -- 4.3 Query translation -- 4.3.1 Bridging the semantic gap -- 4.3.2 Query construction -- 4.4 User interactions -- 4.4.1 Design considerations -- 4.4.2 User interaction models -- 4.4.3 Stateless vs. stateful -- 4.5 Notable systems -- 4.5.1 PRECISE -- 4.5.2 NLPQC -- 4.5.3 NaLIX -- 4.5.4 FREyA -- 4.5.5 NaLIR -- 4.5.6 NL2CM -- 4.5.7 ATHANA -- 4.5.8 SQLizer -- 4.5.9 Seq2SQL -- 4.5.10 Summary -- 4.6 Relationship to other areas -- 4.6.1 Relationship to question answering -- 4.6.2 Relationship to semantic parsing -- 4.7 Summary --
505 8 _a5. Open challenges and opportunities -- 5.1 Resolving references -- 5.2 Understanding natural language text and queries -- 5.3 Mobile natural language data management -- 5.4 Multilingual/cross-lingual support -- 5.5 Evaluation --
505 8 _a6. Conclusions -- Bibliography -- Authors' biographies -- Index.
506 _aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0 _aCompendex
510 0 _aINSPEC
510 0 _aGoogle scholar
510 0 _aGoogle book search
520 3 _aThe volume of natural language text data has been rapidly increasing over the past two decades, due to factors such as the growth of the Web, the low cost associated with publishing, and the progress on the digitization of printed texts. This growth combined with the proliferation of natural language systems for search and retrieving information provides tremendous opportunities for studying some of the areas where database systems and natural language processing systems overlap. This book explores two interrelated and important areas of overlap: (1) managing natural language data and (2) developing natural language interfaces to databases. It presents relevant concepts and research questions, state-of-the-art methods, related systems, and research opportunities and challenges covering both areas. Relevant topics discussed on natural language data management include data models, data sources, queries, storage and indexing, and transforming natural language text. Under natural language interfaces, it presents the anatomy of these interfaces to databases, the challenges related to query understanding and query translation, and relevant aspects of user interactions. Each of the challenges is covered in a systematic way: first starting with a quick overview of the topics, followed by a comprehensive view of recent techniques that have been proposed to address the challenge along with illustrative examples. It also reviews some notable systems in details in terms of how they address different challenges and their contributions. Finally, it discusses open challenges and opportunities for natural language management and interfaces. The goal of this book is to provide an introduction to the methods, problems, and solutions that are used in managing natural language data and building natural language interfaces to databases. It serves as a starting point for readers who are interested in pursuing additional work on these exciting topics in both academic and industrial environments.
530 _aAlso available in print.
588 _aTitle from PDF title page (viewed on August 29, 2018).
650 0 _aNatural language processing (Computer science)
653 _anatural language data
653 _anatural language interfaces
653 _anatural language queries
653 _aquerying natural language text
653 _asemantic parsing
653 _ahuman computer interaction
653 _aconversational natural language interfaces
700 1 _aRafiei, Davood,
_eauthor.
776 0 8 _iPrint version:
_z9781681734088
_z9781681734101
830 0 _aSynthesis digital library of engineering and computer science.
830 0 _aSynthesis lectures on data management ;
_v# 49.
_x2153-5426
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/servlet/opac?bknumber=8436567
999 _c562314
_d562314