Higher order Floquet mode scattering radiating elements address the packaging, cost, and performance requirements of low cost phased array antennas, antenna radome integration, and small AESA systems.
Fast and Noise Robust Depth from Focus using Ring Difference Filter with Your...NAVER Engineering
발표자: 서재흥 (KIST 연구원)
발표일: 17.9.
He is currently a researcher at the Center for Human-centered Interaction for Coexistence (CHIC), located in KIST.
개요:
Depth from focus (DfF) is a method of estimating depth of a scene by using the information acquired through the change of the focus of a camera.
Within the framework of DfF, the focus measure (FM) forms the foundation on which the accuracy of the output is determined. With the result from the FM, the role of a DfF pipeline is to determine and recalculate unreliable measurements while enhancing those that are reliable.
In this paper, we propose a new FM that more accurately and robustly measures focus, which we call the "ring difference filter" (RDF). FMs can usually be categorized as confident local methods or noise robust non-local methods. RDF’s unique ring-and-disk structure allows it to have the advantageous sides of both local and non-local FMs. We then describe an efficient pipeline that utilizes the properties that the RDF brings.
Our method is able to reproduce results that are on par with or even better than those of the state-of-the-art, while spending less time in computation.
On 8 November 2013 dean Karin Laglas hosted the annual Town Hall meeting of the faculty of Architecture. The mission, vision and ambition of the faculty were affirmed. The faculty's goals can be realised through the various examples giving in this presentation.
Undisclosed Recharge Company - A Market Analytics PerspectiveNiviya Vas
To complete the course requirements of the paper of Market Analystics, a project was conducted to evaluate the campaign performance of a reputed online recharge company based on campaing data provided. Graphical Analysis, Classification (Naive Bayes) and Predictive (Multiple Linear Regression) Analysis techniques were employed to identify successful campaigns, to identify pain points and devise a model for future campaigns.
Higher order Floquet mode scattering radiating elements address the packaging, cost, and performance requirements of low cost phased array antennas, antenna radome integration, and small AESA systems.
Fast and Noise Robust Depth from Focus using Ring Difference Filter with Your...NAVER Engineering
발표자: 서재흥 (KIST 연구원)
발표일: 17.9.
He is currently a researcher at the Center for Human-centered Interaction for Coexistence (CHIC), located in KIST.
개요:
Depth from focus (DfF) is a method of estimating depth of a scene by using the information acquired through the change of the focus of a camera.
Within the framework of DfF, the focus measure (FM) forms the foundation on which the accuracy of the output is determined. With the result from the FM, the role of a DfF pipeline is to determine and recalculate unreliable measurements while enhancing those that are reliable.
In this paper, we propose a new FM that more accurately and robustly measures focus, which we call the "ring difference filter" (RDF). FMs can usually be categorized as confident local methods or noise robust non-local methods. RDF’s unique ring-and-disk structure allows it to have the advantageous sides of both local and non-local FMs. We then describe an efficient pipeline that utilizes the properties that the RDF brings.
Our method is able to reproduce results that are on par with or even better than those of the state-of-the-art, while spending less time in computation.
On 8 November 2013 dean Karin Laglas hosted the annual Town Hall meeting of the faculty of Architecture. The mission, vision and ambition of the faculty were affirmed. The faculty's goals can be realised through the various examples giving in this presentation.
Undisclosed Recharge Company - A Market Analytics PerspectiveNiviya Vas
To complete the course requirements of the paper of Market Analystics, a project was conducted to evaluate the campaign performance of a reputed online recharge company based on campaing data provided. Graphical Analysis, Classification (Naive Bayes) and Predictive (Multiple Linear Regression) Analysis techniques were employed to identify successful campaigns, to identify pain points and devise a model for future campaigns.
Annex 15 - Пособие по территориальному маркетингуSergey Koltun
В начале 2015 года под авторством Анатолия Акантинова и Алексея Колика
свет вышло информационно-методическое пособие «Территориальный маркетинг: отечественный и зарубежный опыт» (пока только в электронном виде). Пособие создано в рамках проекта международной технической помощи «Поддержка регионального и местного развития в Беларуси» финансируемого Европейским Союзом.
Цель данного пособия - поделиться зарубежным опытом территориального маркетинга, показать проявление его элементов в Беларуси, указать на ограничения и возможности его развития, показать алгоритм его реализации. Пособие отличается методической глубиной рассматриваемых вопросов территориального маркетинга, написано доступным языком. В пособии впервые обобщен белорусский опыт территориального маркетинга.
Информационно-методическое пособие раскрывает сущность территориального маркетинга (брендинга), оказывает методологию его использования для городов, регионов, стран по различным направлениям: туризм, отрасли, инвестиции, продвижение, брендирование. Пособие предназначено для органов государственного управления, общественных объединений, бизнеса, инфраструктурного сектора территорий, высших учебных заведений, а также для специалистов в области маркетинга, PR и рекламы.
Come check out Multi-Peer Connectivity, a brand new framework for connecting multiple devices in a peer-to-peer network. We'll learn how to get a basic application up and running and take advantage of these new APIs to create a whole new interactive dynamic in your apps.
It's difficult to find any app that doesn't connect to the network to get data. If you have used NSURLConnection you know that fetching data is easy, but can be fraught with a messy implementation. AFNetworking is delightful networking library for iOS and Mac that can simplify the process of getting JSON data, XML, or even images.
A Study on Consumer Behaviour and Purchase Decisions with respect to Feminine...Niviya Vas
As part of the course requirement for the paper on Consumer Behaviour, we undertook a sampled research on the awareness levels of Indian consumer on the various feminine hygiene products available, the usage patterns and the factors governing purchase decisions. This study was conducted in September 2014 using random sampling and survey techniques.
The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly...Angelo Salatino
Classifying research papers according to their research topics is an important task to improve their retrievability, assist the creation of smart analytics, and support a variety of approaches for analysing and making sense of the research environment. In this paper, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers according to the Computer Science Ontology (CSO), a comprehensive ontology of re-search areas in the field of Computer Science. The CSO Classifier takes as input the metadata associated with a research paper (title, abstract, keywords) and returns a selection of research concepts drawn from the ontology. The approach was evaluated on a gold standard of manually annotated articles yielding a significant improvement over alternative methods.
Fairport domain specific metadata using w3 c dcat & skos w ontology viewsTim Clark
FAIRPORT is an international project to develop a lightweight interoperability architecture for biomedical - and potentially other - data repositories.
This slide deck is a presentation to the FAIRPORT technical team. It describes a proposed model for supporting domain-specific search metadata using a common schema model across all repositories.
The proposal makes use of the following existing technologies, with minor extensions:
- the W3C DCAT model for dataset description
- the W3C SKOS knowledge organization system
- OWL2 Ontology Language
- Dublin Core Vocabulary
- NCBO Bioportal biomedical ontologies collection
Rulelog is in process of industry standardization via RuleML and W3C:
RIF-Rulelog specification, version of of May 24, 2013, Michael Kifer, ed. RIF-Rulelog is a powerful dialect of W3C Rule Interchange Format (RIF) that is in draft as a submission from RuleML to W3C.
Several industry standards in the areas are based heavily on our team’s contributions to the authoring/editing of the specifications and conducting the underlying research and earlier-phase standards design. These include most notably the two most important industry standards on rules knowledge:
W3C Rule Interchange Format (RIF), which is primarily based on the RuleML standards design (semantic web rules)
W3C OWL 2 RL Profile (rule-based web ontologies)
The team has also contributed to the development of W3C SPARQL and ISO Common Logic, and been strongly involved in other related standardization efforts at OMG and Oasis.
Deduplication and Author-Disambiguation of Streaming Records via Supervised M...Spark Summit
Here we present a general supervised framework for record deduplication and author-disambiguation via Spark. This work differentiates itself by – Application of Databricks and AWS makes this a scalable implementation. Compute resources are comparably lower than traditional legacy technology using big boxes 24/7. Scalability is crucial as Elsevier’s Scopus data, the biggest scientific abstract repository, covers roughly 250 million authorships from 70 million abstracts covering a few hundred years. – We create a fingerprint for each content by deep learning and/or word2vec algorithms to expedite pairwise similarity calculation. These encoders substantially reduce compute time while maintaining semantic similarity (unlike traditional TFIDF or predefined taxonomies). We will briefly discuss how to optimize word2vec training with high parallelization. Moreover, we show how these encoders can be used to derive a standard representation for all our entities namely such as documents, authors, users, journals, etc. This standard representation can simplify the recommendation problem into a pairwise similarity search and hence it can offer a basic recommender for cross-product applications where we may not have a dedicate recommender engine designed. – Traditional author-disambiguation or record deduplication algorithms are batch-processing with small to no training data. However, we have roughly 25 million authorships that are manually curated or corrected upon user feedback. Hence, it is crucial to maintain historical profiles and hence we have developed a machine learning implementation to deal with data streams and process them in mini batches or one document at a time. We will discuss how to measure the accuracy of such a system, how to tune it and how to process the raw data of pairwise similarity function into final clusters. Lessons learned from this talk can help all sort of companies where they want to integrate their data or deduplicate their user/customer/product databases.
Annex 15 - Пособие по территориальному маркетингуSergey Koltun
В начале 2015 года под авторством Анатолия Акантинова и Алексея Колика
свет вышло информационно-методическое пособие «Территориальный маркетинг: отечественный и зарубежный опыт» (пока только в электронном виде). Пособие создано в рамках проекта международной технической помощи «Поддержка регионального и местного развития в Беларуси» финансируемого Европейским Союзом.
Цель данного пособия - поделиться зарубежным опытом территориального маркетинга, показать проявление его элементов в Беларуси, указать на ограничения и возможности его развития, показать алгоритм его реализации. Пособие отличается методической глубиной рассматриваемых вопросов территориального маркетинга, написано доступным языком. В пособии впервые обобщен белорусский опыт территориального маркетинга.
Информационно-методическое пособие раскрывает сущность территориального маркетинга (брендинга), оказывает методологию его использования для городов, регионов, стран по различным направлениям: туризм, отрасли, инвестиции, продвижение, брендирование. Пособие предназначено для органов государственного управления, общественных объединений, бизнеса, инфраструктурного сектора территорий, высших учебных заведений, а также для специалистов в области маркетинга, PR и рекламы.
Come check out Multi-Peer Connectivity, a brand new framework for connecting multiple devices in a peer-to-peer network. We'll learn how to get a basic application up and running and take advantage of these new APIs to create a whole new interactive dynamic in your apps.
It's difficult to find any app that doesn't connect to the network to get data. If you have used NSURLConnection you know that fetching data is easy, but can be fraught with a messy implementation. AFNetworking is delightful networking library for iOS and Mac that can simplify the process of getting JSON data, XML, or even images.
A Study on Consumer Behaviour and Purchase Decisions with respect to Feminine...Niviya Vas
As part of the course requirement for the paper on Consumer Behaviour, we undertook a sampled research on the awareness levels of Indian consumer on the various feminine hygiene products available, the usage patterns and the factors governing purchase decisions. This study was conducted in September 2014 using random sampling and survey techniques.
The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly...Angelo Salatino
Classifying research papers according to their research topics is an important task to improve their retrievability, assist the creation of smart analytics, and support a variety of approaches for analysing and making sense of the research environment. In this paper, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers according to the Computer Science Ontology (CSO), a comprehensive ontology of re-search areas in the field of Computer Science. The CSO Classifier takes as input the metadata associated with a research paper (title, abstract, keywords) and returns a selection of research concepts drawn from the ontology. The approach was evaluated on a gold standard of manually annotated articles yielding a significant improvement over alternative methods.
Fairport domain specific metadata using w3 c dcat & skos w ontology viewsTim Clark
FAIRPORT is an international project to develop a lightweight interoperability architecture for biomedical - and potentially other - data repositories.
This slide deck is a presentation to the FAIRPORT technical team. It describes a proposed model for supporting domain-specific search metadata using a common schema model across all repositories.
The proposal makes use of the following existing technologies, with minor extensions:
- the W3C DCAT model for dataset description
- the W3C SKOS knowledge organization system
- OWL2 Ontology Language
- Dublin Core Vocabulary
- NCBO Bioportal biomedical ontologies collection
Rulelog is in process of industry standardization via RuleML and W3C:
RIF-Rulelog specification, version of of May 24, 2013, Michael Kifer, ed. RIF-Rulelog is a powerful dialect of W3C Rule Interchange Format (RIF) that is in draft as a submission from RuleML to W3C.
Several industry standards in the areas are based heavily on our team’s contributions to the authoring/editing of the specifications and conducting the underlying research and earlier-phase standards design. These include most notably the two most important industry standards on rules knowledge:
W3C Rule Interchange Format (RIF), which is primarily based on the RuleML standards design (semantic web rules)
W3C OWL 2 RL Profile (rule-based web ontologies)
The team has also contributed to the development of W3C SPARQL and ISO Common Logic, and been strongly involved in other related standardization efforts at OMG and Oasis.
Deduplication and Author-Disambiguation of Streaming Records via Supervised M...Spark Summit
Here we present a general supervised framework for record deduplication and author-disambiguation via Spark. This work differentiates itself by – Application of Databricks and AWS makes this a scalable implementation. Compute resources are comparably lower than traditional legacy technology using big boxes 24/7. Scalability is crucial as Elsevier’s Scopus data, the biggest scientific abstract repository, covers roughly 250 million authorships from 70 million abstracts covering a few hundred years. – We create a fingerprint for each content by deep learning and/or word2vec algorithms to expedite pairwise similarity calculation. These encoders substantially reduce compute time while maintaining semantic similarity (unlike traditional TFIDF or predefined taxonomies). We will briefly discuss how to optimize word2vec training with high parallelization. Moreover, we show how these encoders can be used to derive a standard representation for all our entities namely such as documents, authors, users, journals, etc. This standard representation can simplify the recommendation problem into a pairwise similarity search and hence it can offer a basic recommender for cross-product applications where we may not have a dedicate recommender engine designed. – Traditional author-disambiguation or record deduplication algorithms are batch-processing with small to no training data. However, we have roughly 25 million authorships that are manually curated or corrected upon user feedback. Hence, it is crucial to maintain historical profiles and hence we have developed a machine learning implementation to deal with data streams and process them in mini batches or one document at a time. We will discuss how to measure the accuracy of such a system, how to tune it and how to process the raw data of pairwise similarity function into final clusters. Lessons learned from this talk can help all sort of companies where they want to integrate their data or deduplicate their user/customer/product databases.
Application of Ontology in Semantic Information Retrieval by Prof Shahrul Azm...Khirulnizam Abd Rahman
Application of Ontology in Semantic Information Retrieval
by Prof Shahrul Azman from FSTM, UKM
Presentation for MyREN Seminar 2014
Berjaya Hotel, Kuala Lumpur
27 November 2014
Architecture is a comprehensive, consistent set of design rules by which a specified set of components achieves a specified set of functions in products and services that evolve through multiple design points over time
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
The Evolution of Science Education PraxiLabs’ Vision- Presentation (2).pdfmediapraxi
The rise of virtual labs has been a key tool in universities and schools, enhancing active learning and student engagement.
💥 Let’s dive into the future of science and shed light on PraxiLabs’ crucial role in transforming this field!
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Nucleophilic Addition of carbonyl compounds.pptxSSR02
Nucleophilic addition is the most important reaction of carbonyls. Not just aldehydes and ketones, but also carboxylic acid derivatives in general.
Carbonyls undergo addition reactions with a large range of nucleophiles.
Comparing the relative basicity of the nucleophile and the product is extremely helpful in determining how reversible the addition reaction is. Reactions with Grignards and hydrides are irreversible. Reactions with weak bases like halides and carboxylates generally don’t happen.
Electronic effects (inductive effects, electron donation) have a large impact on reactivity.
Large groups adjacent to the carbonyl will slow the rate of reaction.
Neutral nucleophiles can also add to carbonyls, although their additions are generally slower and more reversible. Acid catalysis is sometimes employed to increase the rate of addition.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
1. Ontology Design Pattern
Property Specialisation
Strategies
Karl Hammar
Jönköping University / Linköping University
2. ODP Specialisation
• Typically a Content ODP contains/is packaged
as a small reusable OWL ontology.
• Using that general/abstract ODP in a specific
use case requires specialisation.
• Often done via import and mapping of original
OWL ontology.
3. Research Question
• How are Content Ontology Design Patterns
(ODPs) used or specialised in Ontology
Engineering projects for the Semantic web, and
what are the effects of such usage?
• Motivation: to develop better understanding of
ODP usage, supporting development of
improved (guided?) tooling for such use.
4. Method Overview
1. Gather OWL ontologies that reference known
ODP namespaces.
2. Extract mapping axioms (e.g. subsumption or
equivalency mappings b/w ontology and ODP).
3. Find recurring patterns in mapping axiom
structure.
5. Understanding ODP
Specialisation
• 347 non-trivial ontologies gathered through Google Search,
LODStats, LOV, OntologyDesignPatterns.org, IKS project
• 41 ODP-using ontologies found, with 107 mapping axioms.
• 85 % of mapping axioms are one-way subsumption of
classes or properties. ODP classes/properties are nearly
always superclasses/superproperties.
• 20 ODP specialisation modules that specialise object
properties.
• Three distinct ways of specialising properties were noted.
6. Property-Oriented Strategy
• Most common way of modeling
property specialisation.
• New subproperties are
created.
• Domains and ranges of sub
properties narrower than
domains and ranges of
superproperties.
• Can be partially instantiated
(e.g., domain or range are
linked to more general term)
rdfs:domain rdfs:range
ce:Collection ce:hasMember owl:Thing
rdfs:subClassOf rdfs:subPropertyOf rdfs:subClassOf
cc:Content
Collection
cc:Content
Item
rdfs:domain rdfs:range
cc:hasContentMember
7. Class-Oriented Strategy
ir:Information
Realization
ir:Informati
rdfs:domain rdfs:range
ir:realizes onObject
wf:Weather
Forecast
wf:Weather
Information
rdfs:subClassOf
rdfs:subClassOf
ir:realizes some
wf:Weather
Information
owl:equivalentClass
ir:realizes only
wf:Weather
Information
rdfs:subClassOf
• Reuses original property;
constrains the use of that
property by class restriction
axioms.
• Restricts which (specialised)
classes that may be related via
a given property, i.e. locally
emulates domain/range.
• Not logically equivalent to
property-oriented strategy -
but can be used to solve
similar modeling problem.
8. Hybrid Strategy
• Does both: new subproperties are defined with
domains and ranges and property restrictions on
participating classes are also put in place
(possibly redundantly).
10. RQs Evolved
• To what degree are the class-oriented, property-oriented,
or hybrid property specialisation
strategies used in published ontologies?
• What are the reasoning performance effects of
specialising in accordance with the class-oriented
or property-oriented strategies?
11. Strategy Use
Specialisation
strategy
Occurrences Distribution
ODP specialisation
distribution
Property-oriented 193 78 % 45 %
Class-oriented 33 13 % 30 %
Hybrid 23 9 % 25 %
12. Strategy Effects
• Property-Oriented strategy treats properties as first-order
citizens that can be annotated and typed.
• Property-Oriented strategy possibly more intuitive for non-expert
users?
• Class-Oriented strategy makes resulting ontologies and
datasets interoperable to greater degree.
• Class-Oriented strategy causes computationally unfavorable
conditions and places ontology outside OWL2 EL.
13. Strategy Effects
Reasoning task Benchmark Reasoner PO time CO time
Consistency checking BSBM Pellet 1.274 s 1.897 s
Consistency checking BSBM HermIT 1.984 s 27.193 s
Consistency checking LUBM Pellet 8.230 s 42.887 s
Consistency checking LUBM HermIT 10.097 s 46 min
Realising individuals BSBM Pellet 2.389 s 9.482 s
Realising individuals LUBM Pellet 1.801 s 4+ hours
14. Conclusion
• Three strategies for property specialisation are
found both amongst ODPs and ontologies in
general.
• Pure Property-Oriented strategy less common
among ODP-using ontologies than among
ontologies in general.
• There may be tradeoffs between performance and
interoperability that ODP users and tooling need
be aware of.
15. INTERESTED IN ONTOLOGY
ENGINEERING?
Participate in our survey, contribute to
science, and win Amazon gift cards!
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