Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Björn Buchhold"'
Autor:
Markus Bayer, Marc-André Kaufhold, Björn Buchhold, Marcel Keller, Jörg Dallmeyer, Christian Reuter
In many cases of machine learning, research suggests that the development of training data might have a higher relevance than the choice and modelling of classifiers themselves. Thus, data augmentation methods have been developed to improve classifie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2afd9dd2a9aea879a26bd96a37879e91
http://arxiv.org/abs/2103.14453
http://arxiv.org/abs/2103.14453
Publikováno v:
KI - Künstliche Intelligenz. 32:19-26
We provide a quality evaluation of KB+Text search, a deep integration of knowledge base search and standard full-text search. A knowledge base (KB) is a set of subject–predicate–object triples with a common naming scheme. The standard query langu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3b3f65fa5643a659a88bca229a28b4c
https://doi.org/10.1007/s13218-017-0513-9
https://doi.org/10.1007/s13218-017-0513-9
Publikováno v:
Foundations and Trends® in Information Retrieval. 10:119-271
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecd5dd376e1cdcd377ed3c759d37adae
https://doi.org/10.1561/1500000032
https://doi.org/10.1561/1500000032
Autor:
Björn Buchhold, Hannah Bast
Publikováno v:
CIKM
We present QLever, a query engine for efficient combined search on a knowledge base and a text corpus, in which named entities from the knowledge base have been identified (that is, recognized and disambiguated). The query language is SPARQL extended
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fe93976c2503abfdfd15c41ce43c117
https://doi.org/10.1145/3132847.3132921
https://doi.org/10.1145/3132847.3132921
Publikováno v:
WSDM
The WSDM Cup 2017 was a data mining challenge held in conjunction with the 10th International Conference on Web Search and Data Mining (WSDM). It addressed key challenges of knowledge bases today: quality assurance and entity search. For quality assu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f179a574039ef284d083c2f0a62b4040
https://doi.org/10.1145/3018661.3022762
https://doi.org/10.1145/3018661.3022762
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: understanding th
Publikováno v:
SIGIR
We compute and evaluate relevance scores for knowledge-base triples from type-like relations. Such a score measures the degree to which an entity "belongs" to a type. For example, Quentin Tarantino has various professions, including Film Director, Sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f019fb643a999da92553d699a6a70cd
https://doi.org/10.1145/2766462.2767734
https://doi.org/10.1145/2766462.2767734
Publikováno v:
WWW (Companion Volume)
We demonstrate a system for fast and intuitive exploration of the Freebase dataset. This required solving several non-trivial problems, including: entity scores for proper ranking and name disambiguation, a unique meaningful name for every entity and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bd6952956745bd56fd86aae32c1be81
https://doi.org/10.1145/2567948.2577016
https://doi.org/10.1145/2567948.2577016
Autor:
Björn Buchhold, Hannah Bast
Publikováno v:
CIKM
In this paper we present a novel index data structure tailored towards semantic full-text search. Semantic full-text search, as we call it, deeply integrates keyword-based full-text search with structured search in ontologies. Queries are SPARQL-like
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c98c03ab262e6d0b93cf42d6d54df08
https://doi.org/10.1145/2505515.2505689
https://doi.org/10.1145/2505515.2505689
Publikováno v:
Proceedings of the 1st Joint International Workshop on Entity-Oriented and Semantic Search.
We discuss the advantages and shortcomings of full-text search on the one hand and search in ontologies/triple stores on the other hand. We argue that both techniques have an important quality missing from the other. We advocate a deep integration of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d10786ccda57a7065678d246ce21e811
https://doi.org/10.1145/2379307.2379311
https://doi.org/10.1145/2379307.2379311