Seed, a Natural Language Interface to Knowledge Bases

Eldesouky, Bahaa; Maus, Heiko; Schwarz, Sven; Dengel, Andreas

doi:10.1007/978-3-319-20612-7_27

Cited by 4 publications

(4 citation statements)

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“…Writing textual annotations (comments, notes, etc.) is possible using Seed [4], a semantic text editor (see Figure 2). While typing, Seed scans the text for entities found in the user's PIMO or other sources like DBpedia 8 .…”

Section: Semantic Desktop and Managed Forgettingmentioning

confidence: 99%

“…who were the mentioned persons, terms, topics, etc. An application in this regard is the aforementioned semantic text editor Seed [4] that allows for data contextualization while typing. Last not least, the project introduced the concept of Managed Forgetting (MF), by which we understand an escalating set of measures overcoming the binary keep-or-delete paradigm.…”

Section: Semantic Desktop and Managed Forgettingmentioning

confidence: 99%

“…Knowledge workers face an ever increasing flood of information in their daily lives, which is even intensified by technological trends like digital transformation. To counter this and provide better support for information management and knowledge work in general, we have been investigating solutions inspired by human forgetting since 2013, starting with the EU-project ForgetIT 3 and continuing in the Managed Forgetting project 4 , which is part of the recent priority program on "Intentional Forgetting in Organizations" by the German Research Foundation (DFG). On the one hand, these solutions are based on semantic technologies, especially semantic graphs/networks, in a knowledge work scenario consisting of a Semantic Desktop (SD) ecosystem for individual users embedded in an evolutionary organizational memory for groups.…”

Section: Introductionmentioning

confidence: 99%

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Advanced Memory Buoyancy for Forgetful Information Systems

Jilek

Chwalek

Schwarz

et al. 2019

AIS-TES

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Knowledge workers face an ever increasing flood of informa- tion in their daily lives. To counter this and provide better support for information management and knowledge work in general, we have been investigating solutions inspired by human forgetting since 2013. These solutions are based on Semantic Desktop (SD) and Managed Forgetting(MF) technology. A key concept of the latter is the so-called Memory Buoyancy (MB), which is intended to represent an information item’s current value for the user and allows to employ forgetting mechanisms. The SD thus continuously performs information value assessment up- dating MB and triggering respective MF measures. We extended an SD- based organizational memory system, which we have been using in daily work for over seven years now, with MF mechanisms directly embedding them in daily activities, too, and enabling us to test and optimize them in real-world scenarios. In this paper, we first present our initial version of MB and discuss success and failure stories we have been experiencing with it during three years of practical usage. We learned from cognitive psychology that our previous research on context can be beneficial for MF. Thus, we created an advanced MB version especially taking user context, and in particular context switches, into account. These enhancements as well as a first prototypical implementation are presented, too.

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Section: Semantic Desktop and Managed Forgettingmentioning

confidence: 99%

Section: Semantic Desktop and Managed Forgettingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Advanced Memory Buoyancy for Forgetful Information Systems

Jilek

Chwalek

Schwarz

et al. 2019

AIS-TES

View full text Add to dashboard Cite

show abstract

“…Writing textual annotations (comments, notes, etc.) is possible using Seed [4], a semantic text editor (see Figure 3). While typing, Seed scans Fig.…”

Section: Semantic Desktop and Managed Forgettingmentioning

confidence: 99%

Advanced Memory Buoyancy for Forgetful Information Systems

Jilek,

Chwalek,

Schwarz

et al. 2018

Preprint

Self Cite

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Knowledge workers face an ever increasing flood of information in their daily lives. To counter this and provide better support for information management and knowledge work in general, we have been investigating solutions inspired by human forgetting since 2013. These solutions are based on Semantic Desktop (SD) and Managed Forgetting (MF) technology. A key concept of the latter is the so-called Memory Buoyancy (MB), which is intended to represent an information item's current value for the user and allows to employ forgetting mechanisms. The SD thus continuously performs information value assessment updating MB and triggering respective MF measures. We extended an SDbased organizational memory system, which we have been using in daily work for over seven years now, with MF mechanisms directly embedding them in daily activities, too, and enabling us to test and optimize them in real-world scenarios. In this paper, we first present our initial version of MB and discuss success and failure stories we have been experiencing with it during three years of practical usage. We learned from cognitive psychology that our previous research on context can be beneficial for MF. Thus, we created an advanced MB version especially taking user context, and in particular context switches, into account. These enhancements as well as a first prototypical implementation are presented, too.

show abstract