A conceptual-model-based computational alembic for a web of knowledge

David W. Embley, Stephen W. Liddle, Deryle Lonsdale, George Nagy, Yuri Tijerino, Robert Clawson, Jordan Crabtree, Yihong Ding, Piyushee Jha, Zonghui Lian, Stephen Lynn, Raghav K. Padmanabhan, Jeff Peters, Cui Tao, Robby Watts, Charla Woodbury, Andrew Zitzelberger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The current web is a web of linked pages. Frustrated users search for facts by guessing which keywords or keyword phrases might lead them to pages where they can find facts. Can we make it possible for users to search directly for facts embedded in web pages? Instead of a web of human-readable pages containing machine-inaccessible facts, can the web be a web of machine-accessible facts superimposed over a web of human-readable pages? Ultimately, can the web be a WoK (a Web of Knowledge) that can provide direct answers to factual questions and support these answers by referencing and highlighting relevant base facts embedded in source pages?

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages532-533
Number of pages2
Volume5231 LNCS
DOIs
StatePublished - 2008
Externally publishedYes
Event27th International Conference on Conceptual Modeling, ER 2008 - Barcelona, Spain
Duration: Oct 20 2008Oct 24 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5231 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other27th International Conference on Conceptual Modeling, ER 2008
CountrySpain
CityBarcelona
Period10/20/0810/24/08

Fingerprint

Conceptual Model
World Wide Web
Websites
Model-based
Knowledge

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Embley, D. W., Liddle, S. W., Lonsdale, D., Nagy, G., Tijerino, Y., Clawson, R., ... Zitzelberger, A. (2008). A conceptual-model-based computational alembic for a web of knowledge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5231 LNCS, pp. 532-533). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5231 LNCS). https://doi.org/10.1007/978-3-540-87877-3-47

A conceptual-model-based computational alembic for a web of knowledge. / Embley, David W.; Liddle, Stephen W.; Lonsdale, Deryle; Nagy, George; Tijerino, Yuri; Clawson, Robert; Crabtree, Jordan; Ding, Yihong; Jha, Piyushee; Lian, Zonghui; Lynn, Stephen; Padmanabhan, Raghav K.; Peters, Jeff; Tao, Cui; Watts, Robby; Woodbury, Charla; Zitzelberger, Andrew.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5231 LNCS 2008. p. 532-533 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5231 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Embley, DW, Liddle, SW, Lonsdale, D, Nagy, G, Tijerino, Y, Clawson, R, Crabtree, J, Ding, Y, Jha, P, Lian, Z, Lynn, S, Padmanabhan, RK, Peters, J, Tao, C, Watts, R, Woodbury, C & Zitzelberger, A 2008, A conceptual-model-based computational alembic for a web of knowledge. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5231 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5231 LNCS, pp. 532-533, 27th International Conference on Conceptual Modeling, ER 2008, Barcelona, Spain, 10/20/08. https://doi.org/10.1007/978-3-540-87877-3-47
Embley DW, Liddle SW, Lonsdale D, Nagy G, Tijerino Y, Clawson R et al. A conceptual-model-based computational alembic for a web of knowledge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5231 LNCS. 2008. p. 532-533. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-87877-3-47
Embley, David W. ; Liddle, Stephen W. ; Lonsdale, Deryle ; Nagy, George ; Tijerino, Yuri ; Clawson, Robert ; Crabtree, Jordan ; Ding, Yihong ; Jha, Piyushee ; Lian, Zonghui ; Lynn, Stephen ; Padmanabhan, Raghav K. ; Peters, Jeff ; Tao, Cui ; Watts, Robby ; Woodbury, Charla ; Zitzelberger, Andrew. / A conceptual-model-based computational alembic for a web of knowledge. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5231 LNCS 2008. pp. 532-533 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{22895dcf4c044225aeeace503d932e77,
title = "A conceptual-model-based computational alembic for a web of knowledge",
abstract = "The current web is a web of linked pages. Frustrated users search for facts by guessing which keywords or keyword phrases might lead them to pages where they can find facts. Can we make it possible for users to search directly for facts embedded in web pages? Instead of a web of human-readable pages containing machine-inaccessible facts, can the web be a web of machine-accessible facts superimposed over a web of human-readable pages? Ultimately, can the web be a WoK (a Web of Knowledge) that can provide direct answers to factual questions and support these answers by referencing and highlighting relevant base facts embedded in source pages?",
author = "Embley, {David W.} and Liddle, {Stephen W.} and Deryle Lonsdale and George Nagy and Yuri Tijerino and Robert Clawson and Jordan Crabtree and Yihong Ding and Piyushee Jha and Zonghui Lian and Stephen Lynn and Padmanabhan, {Raghav K.} and Jeff Peters and Cui Tao and Robby Watts and Charla Woodbury and Andrew Zitzelberger",
year = "2008",
doi = "10.1007/978-3-540-87877-3-47",
language = "English (US)",
isbn = "3540878769",
volume = "5231 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "532--533",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - A conceptual-model-based computational alembic for a web of knowledge

AU - Embley, David W.

AU - Liddle, Stephen W.

AU - Lonsdale, Deryle

AU - Nagy, George

AU - Tijerino, Yuri

AU - Clawson, Robert

AU - Crabtree, Jordan

AU - Ding, Yihong

AU - Jha, Piyushee

AU - Lian, Zonghui

AU - Lynn, Stephen

AU - Padmanabhan, Raghav K.

AU - Peters, Jeff

AU - Tao, Cui

AU - Watts, Robby

AU - Woodbury, Charla

AU - Zitzelberger, Andrew

PY - 2008

Y1 - 2008

N2 - The current web is a web of linked pages. Frustrated users search for facts by guessing which keywords or keyword phrases might lead them to pages where they can find facts. Can we make it possible for users to search directly for facts embedded in web pages? Instead of a web of human-readable pages containing machine-inaccessible facts, can the web be a web of machine-accessible facts superimposed over a web of human-readable pages? Ultimately, can the web be a WoK (a Web of Knowledge) that can provide direct answers to factual questions and support these answers by referencing and highlighting relevant base facts embedded in source pages?

AB - The current web is a web of linked pages. Frustrated users search for facts by guessing which keywords or keyword phrases might lead them to pages where they can find facts. Can we make it possible for users to search directly for facts embedded in web pages? Instead of a web of human-readable pages containing machine-inaccessible facts, can the web be a web of machine-accessible facts superimposed over a web of human-readable pages? Ultimately, can the web be a WoK (a Web of Knowledge) that can provide direct answers to factual questions and support these answers by referencing and highlighting relevant base facts embedded in source pages?

UR - http://www.scopus.com/inward/record.url?scp=57049102912&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=57049102912&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-87877-3-47

DO - 10.1007/978-3-540-87877-3-47

M3 - Conference contribution

AN - SCOPUS:57049102912

SN - 3540878769

SN - 9783540878766

VL - 5231 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 532

EP - 533

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -