Scalable semantic aware context storage
The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several conte...
Ausführliche Beschreibung
Autor*in: |
Antunes, Mário [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2016transfer abstract |
---|
Schlagwörter: |
---|
Umfang: |
9 |
---|
Übergeordnetes Werk: |
Enthalten in: Surgeon-patient matching based on pairwise comparisons information for elective surgery - Jiang, Yan-Ping ELSEVIER, 2020, Amsterdam [u.a.] |
---|---|
Übergeordnetes Werk: |
volume:56 ; year:2016 ; pages:675-683 ; extent:9 |
Links: |
---|
DOI / URN: |
10.1016/j.future.2015.09.008 |
---|
Katalog-ID: |
ELV01911317X |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | ELV01911317X | ||
003 | DE-627 | ||
005 | 20230625125338.0 | ||
007 | cr uuu---uuuuu | ||
008 | 180603s2016 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.future.2015.09.008 |2 doi | |
028 | 5 | 2 | |a GBVA2016004000022.pica |
035 | |a (DE-627)ELV01911317X | ||
035 | |a (ELSEVIER)S0167-739X(15)00288-5 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | |a 004 | |
082 | 0 | 4 | |a 004 |q DE-600 |
082 | 0 | 4 | |a 004 |q VZ |
084 | |a 85.35 |2 bkl | ||
084 | |a 54.80 |2 bkl | ||
100 | 1 | |a Antunes, Mário |e verfasserin |4 aut | |
245 | 1 | 0 | |a Scalable semantic aware context storage |
264 | 1 | |c 2016transfer abstract | |
300 | |a 9 | ||
336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
337 | |a nicht spezifiziert |b z |2 rdamedia | ||
338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
520 | |a The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction. | ||
520 | |a The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction. | ||
650 | 7 | |a M2M |2 Elsevier | |
650 | 7 | |a Context information |2 Elsevier | |
650 | 7 | |a IoT |2 Elsevier | |
700 | 1 | |a Gomes, Diogo |4 oth | |
700 | 1 | |a Aguiar, Rui L. |4 oth | |
773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Jiang, Yan-Ping ELSEVIER |t Surgeon-patient matching based on pairwise comparisons information for elective surgery |d 2020 |g Amsterdam [u.a.] |w (DE-627)ELV004280385 |
773 | 1 | 8 | |g volume:56 |g year:2016 |g pages:675-683 |g extent:9 |
856 | 4 | 0 | |u https://doi.org/10.1016/j.future.2015.09.008 |3 Volltext |
912 | |a GBV_USEFLAG_U | ||
912 | |a GBV_ELV | ||
912 | |a SYSFLAG_U | ||
936 | b | k | |a 85.35 |j Fertigung |q VZ |
936 | b | k | |a 54.80 |j Angewandte Informatik |q VZ |
951 | |a AR | ||
952 | |d 56 |j 2016 |h 675-683 |g 9 | ||
953 | |2 045F |a 004 |
author_variant |
m a ma |
---|---|
matchkey_str |
antunesmriogomesdiogoaguiarruil:2016----:clbeeatcwrcn |
hierarchy_sort_str |
2016transfer abstract |
bklnumber |
85.35 54.80 |
publishDate |
2016 |
allfields |
10.1016/j.future.2015.09.008 doi GBVA2016004000022.pica (DE-627)ELV01911317X (ELSEVIER)S0167-739X(15)00288-5 DE-627 ger DE-627 rakwb eng 004 004 DE-600 004 VZ 85.35 bkl 54.80 bkl Antunes, Mário verfasserin aut Scalable semantic aware context storage 2016transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction. The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction. M2M Elsevier Context information Elsevier IoT Elsevier Gomes, Diogo oth Aguiar, Rui L. oth Enthalten in Elsevier Science Jiang, Yan-Ping ELSEVIER Surgeon-patient matching based on pairwise comparisons information for elective surgery 2020 Amsterdam [u.a.] (DE-627)ELV004280385 volume:56 year:2016 pages:675-683 extent:9 https://doi.org/10.1016/j.future.2015.09.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.35 Fertigung VZ 54.80 Angewandte Informatik VZ AR 56 2016 675-683 9 045F 004 |
spelling |
10.1016/j.future.2015.09.008 doi GBVA2016004000022.pica (DE-627)ELV01911317X (ELSEVIER)S0167-739X(15)00288-5 DE-627 ger DE-627 rakwb eng 004 004 DE-600 004 VZ 85.35 bkl 54.80 bkl Antunes, Mário verfasserin aut Scalable semantic aware context storage 2016transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction. The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction. M2M Elsevier Context information Elsevier IoT Elsevier Gomes, Diogo oth Aguiar, Rui L. oth Enthalten in Elsevier Science Jiang, Yan-Ping ELSEVIER Surgeon-patient matching based on pairwise comparisons information for elective surgery 2020 Amsterdam [u.a.] (DE-627)ELV004280385 volume:56 year:2016 pages:675-683 extent:9 https://doi.org/10.1016/j.future.2015.09.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.35 Fertigung VZ 54.80 Angewandte Informatik VZ AR 56 2016 675-683 9 045F 004 |
allfields_unstemmed |
10.1016/j.future.2015.09.008 doi GBVA2016004000022.pica (DE-627)ELV01911317X (ELSEVIER)S0167-739X(15)00288-5 DE-627 ger DE-627 rakwb eng 004 004 DE-600 004 VZ 85.35 bkl 54.80 bkl Antunes, Mário verfasserin aut Scalable semantic aware context storage 2016transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction. The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction. M2M Elsevier Context information Elsevier IoT Elsevier Gomes, Diogo oth Aguiar, Rui L. oth Enthalten in Elsevier Science Jiang, Yan-Ping ELSEVIER Surgeon-patient matching based on pairwise comparisons information for elective surgery 2020 Amsterdam [u.a.] (DE-627)ELV004280385 volume:56 year:2016 pages:675-683 extent:9 https://doi.org/10.1016/j.future.2015.09.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.35 Fertigung VZ 54.80 Angewandte Informatik VZ AR 56 2016 675-683 9 045F 004 |
allfieldsGer |
10.1016/j.future.2015.09.008 doi GBVA2016004000022.pica (DE-627)ELV01911317X (ELSEVIER)S0167-739X(15)00288-5 DE-627 ger DE-627 rakwb eng 004 004 DE-600 004 VZ 85.35 bkl 54.80 bkl Antunes, Mário verfasserin aut Scalable semantic aware context storage 2016transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction. The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction. M2M Elsevier Context information Elsevier IoT Elsevier Gomes, Diogo oth Aguiar, Rui L. oth Enthalten in Elsevier Science Jiang, Yan-Ping ELSEVIER Surgeon-patient matching based on pairwise comparisons information for elective surgery 2020 Amsterdam [u.a.] (DE-627)ELV004280385 volume:56 year:2016 pages:675-683 extent:9 https://doi.org/10.1016/j.future.2015.09.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.35 Fertigung VZ 54.80 Angewandte Informatik VZ AR 56 2016 675-683 9 045F 004 |
allfieldsSound |
10.1016/j.future.2015.09.008 doi GBVA2016004000022.pica (DE-627)ELV01911317X (ELSEVIER)S0167-739X(15)00288-5 DE-627 ger DE-627 rakwb eng 004 004 DE-600 004 VZ 85.35 bkl 54.80 bkl Antunes, Mário verfasserin aut Scalable semantic aware context storage 2016transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction. The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction. M2M Elsevier Context information Elsevier IoT Elsevier Gomes, Diogo oth Aguiar, Rui L. oth Enthalten in Elsevier Science Jiang, Yan-Ping ELSEVIER Surgeon-patient matching based on pairwise comparisons information for elective surgery 2020 Amsterdam [u.a.] (DE-627)ELV004280385 volume:56 year:2016 pages:675-683 extent:9 https://doi.org/10.1016/j.future.2015.09.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.35 Fertigung VZ 54.80 Angewandte Informatik VZ AR 56 2016 675-683 9 045F 004 |
language |
English |
source |
Enthalten in Surgeon-patient matching based on pairwise comparisons information for elective surgery Amsterdam [u.a.] volume:56 year:2016 pages:675-683 extent:9 |
sourceStr |
Enthalten in Surgeon-patient matching based on pairwise comparisons information for elective surgery Amsterdam [u.a.] volume:56 year:2016 pages:675-683 extent:9 |
format_phy_str_mv |
Article |
bklname |
Fertigung Angewandte Informatik |
institution |
findex.gbv.de |
topic_facet |
M2M Context information IoT |
dewey-raw |
004 |
isfreeaccess_bool |
false |
container_title |
Surgeon-patient matching based on pairwise comparisons information for elective surgery |
authorswithroles_txt_mv |
Antunes, Mário @@aut@@ Gomes, Diogo @@oth@@ Aguiar, Rui L. @@oth@@ |
publishDateDaySort_date |
2016-01-01T00:00:00Z |
hierarchy_top_id |
ELV004280385 |
dewey-sort |
14 |
id |
ELV01911317X |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV01911317X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625125338.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.future.2015.09.008</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2016004000022.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV01911317X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0167-739X(15)00288-5</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">004</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">85.35</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.80</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Antunes, Mário</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Scalable semantic aware context storage</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">9</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">M2M</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Context information</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">IoT</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gomes, Diogo</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Aguiar, Rui L.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Jiang, Yan-Ping ELSEVIER</subfield><subfield code="t">Surgeon-patient matching based on pairwise comparisons information for elective surgery</subfield><subfield code="d">2020</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV004280385</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:56</subfield><subfield code="g">year:2016</subfield><subfield code="g">pages:675-683</subfield><subfield code="g">extent:9</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.future.2015.09.008</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">85.35</subfield><subfield code="j">Fertigung</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.80</subfield><subfield code="j">Angewandte Informatik</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">56</subfield><subfield code="j">2016</subfield><subfield code="h">675-683</subfield><subfield code="g">9</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">004</subfield></datafield></record></collection>
|
author |
Antunes, Mário |
spellingShingle |
Antunes, Mário ddc 004 bkl 85.35 bkl 54.80 Elsevier M2M Elsevier Context information Elsevier IoT Scalable semantic aware context storage |
authorStr |
Antunes, Mário |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV004280385 |
format |
electronic Article |
dewey-ones |
004 - Data processing & computer science |
delete_txt_mv |
keep |
author_role |
aut |
collection |
elsevier |
remote_str |
true |
illustrated |
Not Illustrated |
topic_title |
004 004 DE-600 004 VZ 85.35 bkl 54.80 bkl Scalable semantic aware context storage M2M Elsevier Context information Elsevier IoT Elsevier |
topic |
ddc 004 bkl 85.35 bkl 54.80 Elsevier M2M Elsevier Context information Elsevier IoT |
topic_unstemmed |
ddc 004 bkl 85.35 bkl 54.80 Elsevier M2M Elsevier Context information Elsevier IoT |
topic_browse |
ddc 004 bkl 85.35 bkl 54.80 Elsevier M2M Elsevier Context information Elsevier IoT |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
zu |
author2_variant |
d g dg r l a rl rla |
hierarchy_parent_title |
Surgeon-patient matching based on pairwise comparisons information for elective surgery |
hierarchy_parent_id |
ELV004280385 |
dewey-tens |
000 - Computer science, knowledge & systems |
hierarchy_top_title |
Surgeon-patient matching based on pairwise comparisons information for elective surgery |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)ELV004280385 |
title |
Scalable semantic aware context storage |
ctrlnum |
(DE-627)ELV01911317X (ELSEVIER)S0167-739X(15)00288-5 |
title_full |
Scalable semantic aware context storage |
author_sort |
Antunes, Mário |
journal |
Surgeon-patient matching based on pairwise comparisons information for elective surgery |
journalStr |
Surgeon-patient matching based on pairwise comparisons information for elective surgery |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
000 - Computer science, information & general works |
recordtype |
marc |
publishDateSort |
2016 |
contenttype_str_mv |
zzz |
container_start_page |
675 |
author_browse |
Antunes, Mário |
container_volume |
56 |
physical |
9 |
class |
004 004 DE-600 004 VZ 85.35 bkl 54.80 bkl |
format_se |
Elektronische Aufsätze |
author-letter |
Antunes, Mário |
doi_str_mv |
10.1016/j.future.2015.09.008 |
dewey-full |
004 |
title_sort |
scalable semantic aware context storage |
title_auth |
Scalable semantic aware context storage |
abstract |
The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction. |
abstractGer |
The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction. |
abstract_unstemmed |
The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
title_short |
Scalable semantic aware context storage |
url |
https://doi.org/10.1016/j.future.2015.09.008 |
remote_bool |
true |
author2 |
Gomes, Diogo Aguiar, Rui L. |
author2Str |
Gomes, Diogo Aguiar, Rui L. |
ppnlink |
ELV004280385 |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth oth |
doi_str |
10.1016/j.future.2015.09.008 |
up_date |
2024-07-06T20:36:13.239Z |
_version_ |
1803863377302257664 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV01911317X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625125338.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.future.2015.09.008</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2016004000022.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV01911317X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0167-739X(15)00288-5</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">004</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">85.35</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.80</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Antunes, Mário</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Scalable semantic aware context storage</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">9</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes’ diversity and propose a novel d -dimension organization model. Our evaluation shows that d -dimension model improves scalability and semantic extraction.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">M2M</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Context information</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">IoT</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gomes, Diogo</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Aguiar, Rui L.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Jiang, Yan-Ping ELSEVIER</subfield><subfield code="t">Surgeon-patient matching based on pairwise comparisons information for elective surgery</subfield><subfield code="d">2020</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV004280385</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:56</subfield><subfield code="g">year:2016</subfield><subfield code="g">pages:675-683</subfield><subfield code="g">extent:9</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.future.2015.09.008</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">85.35</subfield><subfield code="j">Fertigung</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.80</subfield><subfield code="j">Angewandte Informatik</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">56</subfield><subfield code="j">2016</subfield><subfield code="h">675-683</subfield><subfield code="g">9</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">004</subfield></datafield></record></collection>
|
score |
7.399722 |