Semantic search on text and knowledge bases:
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Boston
NOW
[2016]
|
| Schriftenreihe: | Foundations and trends in information retrieval
volume 10, issue 2-3 |
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029248910&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029248910&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | x, 159 Seiten Illustrationen |
| ISBN: | 9781680831641 |
Internformat
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Datensatz im Suchindex
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|---|---|
| adam_text | Semantic Search on Text and Knowledge Bases
Hannah Bast, Björn Buchhold and Elmar Haussmann
This monograph 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: under-
standing 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 differ-
ent views of the problem. Semantic Search on Text and Knowledge Bases classifies
this work according to two dimensions: the type of data (text, knowledge bases, com-
binations of these) and the kind of search (keyword, structured, natural language). All
nine combinations are considered. The focus is on fundamental techniques, concrete
systems, and benchmarks. The monograph also considers advanced issues: rank-
ing, indexing, ontology matching and merging, and inference. It also provides a suc-
cinct overview of fundamental natural language processing techniques: POS-tagging,
named-entity recognition and disambiguation, sentence parsing, and distributional
semantics.
Semantic Search on Text and Knowledge Bases is as seif-contained as possible, and
should thus also serve as a good tutorial for newcomers to this fascinating and highly
topical field
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Contents
Introduction
1.1 Motivation for this Survey..................
1.2 Scope of this Survey........................
1.3 Overview of this Survey.....................
1.4 Glossary....................................
Classification by Data Type and Search Paradigm
2.1 Data Types and Common Datasets..............
2.2 Search Paradigms............................
2.3 Other Aspects...............................
Basic NLP Tasks in Semantic Search
3.1 Part-of-Speech Tagging and Chunking.........
3.2 Named-Entity Recognition and Disambiguation
3.3 Sentence Parsing ...........................
3.4 Word Vectors................................
Approaches and Systems for Semantic Search
4.1 Keyword Search in Text......................
4.2 Structured Search in Knowledge Bases........
4.3 Structured Data Extraction from Text........
4.4 Keyword Search on Knowledge Bases...........
ix
X
4.5 Keyword Search on Combined Data ..................... 82
4.6 Semi-Structured Search on Combined Data .............. 89
4.7 Question Answering on Text ........................... 93
4.8 Question Answering on Knowledge Bases................. 98
4.9 Question Answering on Combined Data ..................106
5 Advanced Techniques used for Semantic Search 113
5.1 Ranking..............................................113
5.2 Indexing..............................................120
5.3 Ontology Matching and Merging.........................125
5.4 Inference.............................................129
6 The Future of Semantic Search 133
6.1 The Present...........................................133
6.2 The Near Future.......................................135
6.3 The Not So Near Future ...............................136
Acknowledgements 139
Appendices 141
A Datasets..............................................141
B Standards.............................................143
References 145
|
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| id | DE-604.BV043838316 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T17:46:31Z |
| institution | BVB |
| isbn | 9781680831641 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029248910 |
| oclc_num | 965137703 |
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| owner | DE-355 DE-BY-UBR |
| owner_facet | DE-355 DE-BY-UBR |
| physical | x, 159 Seiten Illustrationen |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | NOW |
| record_format | marc |
| series2 | Foundations and trends in information retrieval |
| spellingShingle | Bast, Hannah 1970- Buchhold, Björn Haussmann, Elmar Semantic search on text and knowledge bases Semantik (DE-588)4054490-4 gnd Information Retrieval (DE-588)4072803-1 gnd |
| subject_GND | (DE-588)4054490-4 (DE-588)4072803-1 |
| title | Semantic search on text and knowledge bases |
| title_auth | Semantic search on text and knowledge bases |
| title_exact_search | Semantic search on text and knowledge bases |
| title_full | Semantic search on text and knowledge bases Hannah Bast, Björn Buchhold, Elmar Haussmann |
| title_fullStr | Semantic search on text and knowledge bases Hannah Bast, Björn Buchhold, Elmar Haussmann |
| title_full_unstemmed | Semantic search on text and knowledge bases Hannah Bast, Björn Buchhold, Elmar Haussmann |
| title_short | Semantic search on text and knowledge bases |
| title_sort | semantic search on text and knowledge bases |
| topic | Semantik (DE-588)4054490-4 gnd Information Retrieval (DE-588)4072803-1 gnd |
| topic_facet | Semantik Information Retrieval |
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