Template:All proposed content OP
From Odp
There are no proposed content OPs
| Intent | Domain | |
|---|---|---|
| AOS AGROVOC Concept Server fundation ontology model | Act as a basic model for Agricultural Related Ontologies, in particular for the AGROVOC Concept Server. The model clearly identify concepts (domain concepts) from terms (which are represented as instances). Both concepts and terms have specific relationships connecting them. | |
| ActingFor | To represent that some agent is acting in order to forward the action of a social (non-physical) agent. | |
| Action | The purpose of the pattern is to model actions that are proposed, planned, and performed or abandoned, together with their status and durations in time. | |
| ActivitySpecification | This work is concerned with supporting a correct and meaningful representation of activities on the Semantic Web, with the potential to support tasks such as activity recognition and reasoning about causation. This requires an ontology capable of more than simply documenting and annotating individual activity occurrences; definitions of activity specifications are required.
Current representations of activities in OWL do not meet the basic requirements for activity specifications. Detailed definitions of an activity's preconditions and effects are lacking, in particular with respect to a consideration of change over time. This pattern leverages existing work to fill this void with an ontology design pattern for activity specifications in OWL. |
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| Actuation-Actuator-Effect | This ODP intents to model the relationship between an Actuator and the Effect it has on its environment through Actuations. It structures an Actuator ontology : http://www.irit.fr/recherches/MELODI/ontologies/SAN.owl | |
| AffectedBy | To represent properties/qualities that may affect the status of a feature of interest. | |
| Affordance | To represent the model for supporting the action selection mechanism. | |
| AgentRole | To represent agents and the roles they play. | |
| Airline | To represent the encyclopedic knowledge expressed by an object typed as Airline | |
| Airline.owl | To represent the encyclopedic knowledge expressed by an object typed as Airline | |
| AlgorithmImplementationExecution | To model algorithm specifications, their implementations and executions, together with parameters of implementations, settings of the parameters for the execution, and inputs the execution consumes (e.g., data) and outputs the execution produces (e.g., models, reports). | |
| An Ontology Design Pattern for Activity Reasoning | To incorporate the general two perspectives of activities: a workflow perspective, which are often observed in planning-related applications, and a spatiotemporal perspective, which are often found in geographic activity analysis. | |
| AquaticResourceObservation | To represent the aquatic observation data extracted from factsheet application. An aquatic observation refers to a specific year, is about an aquatic resource, and is situated in a given habitat, in which the aquatic species from the resource live. Observations can have a reporting year that is different from the observation time. | |
| AquaticResources | To represent aquatic resources or stocks as composed of aquatic organisms from one or more species, and living in a water area. | |
| Auriol Degbelo | The goal of the pattern is to model the when, what, who, how and scope of insight capture during an interaction session with a geovisualization. | |
| Bag | To model bags of items (elements). The Bag is characterized by a collection that can have multiple copies of each object. | |
| BasicPlan | - | |
| BasicPlanExecution | - | |
| Bias Event Pattern | An Ontology Design Pattern to Document Bias Events in Machine Learning Pipelines | |
| Biological Entities | To represent biological species and relations between them. | |
| Born Digital Archives | The pattern intends to model the domain of born digital archives. This pattern has been developed by MKLab at CERTH/ITI for the PERICLES FP7 project. | |
| Complaint Design Pattern | To represent core constituents found commonly in complaints across domains. | |
| CatchRecord | To represent the catch records from time series FIGIS application, which contain temporally-indexed aggregated information about aquatic species cacthing. | |
| ChessGame | To model a flexible schema to allow exposing chess games as linked data. | |
| City Resident Pattern | This file defines an ontology design pattern for City "Resident.” Why is the development a Resident pattern important for the development of a city data on-tology? In the PolisGnosis project (Fox, 2017), where ontologies have been developed for measuring city performance across the 17 themes defined in ISO37120:2104 (e.g., Education, Public Safety, Health, Water & Sanitation), one of the concepts that recurs across themes is “(city) Resident”. The provisioning of city services is often contingent upon whether the person is a resident of the city. Whether it is access to swimming lessons provided by Parks and Recreation, or affordable housing provided by Shelters and Housing, many are contingent upon satisfying the residency requirement. This ontology pattern make it possible to define the semantics of residency for a city, and use the definition to automate the classification of a person as a resident or not of a city. | |
| Classification | To represent the relations between concepts (roles, task, parameters) and entities (person, events, values), which concepts can be assigned to. To formalize the application (e.g. tagging) of informal knowledge organization systems such as lexica, thesauri, subject directories, folksonomies, etc., where concepts are first-order elements. | |
| ClimaticZone | The intent of the pattern is to be able to represent climatic zones for aquatic resources. | |
| Co-participation | To represent two objects that both participate in a same event. | |
| MicroblogEntry | Provide a core pattern for capturing information related to microblog entries (e.g. twitter, instagram, facebook, etc.) | |
| Collection | To represent domain (not set theory) membership. | |
| CollectionEntity | To represent collections, and their entities, i.e. to represent membership. | |
| CommunicationEvent | To model communication events, such as phone calls, e-mails and meetings, their involved parties and the roles and relations of the parties in the context of the communication events. | |
| Communities | - | |
| Componency | To represent (non-transitively) that objects either are proper parts of other objects, or have proper parts. | |
| ComputationalEnvironment | The pattern is intended to support comparison and reproducibility of computational analyses. | |
| Computer System | The pattern intends to model computer systems based on a hardware/software approach. This pattern has been developed by MKLab at CERTH/ITI and Tate for the PERICLES FP7 project. | |
| ConceptGroup | This CP allows designers to represent concept group defined by intention (all concepts satisfying group membership condition) or by extension (all concepts referring a group). | |
| ConceptTerms | This CP allows designers to represent jointly conceptual and linguistic part of a vocabulary. The pattern purpose is not to encompass all linguistic complexity as Linginfo or LMF does, but to describe linguistic information in more details than SKOS which names concept whith simple labels. | |
| Constituency | To represent the constituents of a layered structure. | |
| ContextualizedWinstonPartWhole | To provide a contextualized version of the WinstonPartWhole pattern. | |
| Controlflow | To represent control flows: activation, branching, decisions, concurrency, etc. | |
| CountingAs | - | |
| Course | The aim of this content ontology design patterns-Course Pattern- is to model the core attributes of a course and the basic relationships of the course in an educational institution. | |
| Criterion | The purpose of this pattern is to provide a basis for criteria modeling. For more advanced use see the 'criterion setter' pattern that enables describing entities that define criteria (such as requirements, constraints etc.). | |
| CriterionS | ||
| CriterionSetter | The purpose of this pattern is to provide a broader context for criteria modeling. Possible specializations could introduce new kinds of criteria setters representing criteria in detailed contexts (for example: a pattern for describing the success/failure condition for some actions). Possible criteria setters may include requirements, recommendations, constraints etc. | |
| DataTransformationPattern | TBD | |
| Description | To formally represent a conceptualization or a descriptive context. | |
| Description in Range | This pattern allows one to range the conceptualization of a descriptive context within specific borders defined by means of literal values. | |
| DescriptionAndSituation | ||
| DetectorFinalState | This pattern represent schematic model for high-energy physics experiment data. | |
| DigitalVideo | The pattern intends to model digital video files, their components and other associated entities, such as codecs and containers. This pattern has been developed by MKLab at CERTH/ITI for the PERICLES FP7 project. | |
| Disposition | This pattern allow the representation of non-probabilistic dispositions with unique triggering and realization process types. | |
| EEP | To represent executions made by executors that implement procedures. Executions are events like observations or actuations. Executors are systems like sensors or actuators that produce executions. Executors implement procedures to carry out their goals. Executions and executors are taken over features of interest and their intrinsic properties/qualities. | |
| EthnicGroup | To represent the encyclopedic knowledge expressed by an object typed as EthnicGroup | |
| EventCore | The purpose of this pattern is to provide a minimalistic model of event where it is not always possible to separate its spatial and the temporal aspects, thus can model events that move or possess discontinuous temporal extent. Events according to this model has at least one participant, attached via a participant-role, and may have additional descriptive information through its information object. | |
| EventProcessing | To model event objects (in the context of complex event processing), their attributes, and their relations actual events, and sensor readings producing the events. Different types of event objects, such as complex, composite, and simple events are modelled, preoperties for expressing relations between event objects, such as constituency and componency are expressed, and attributes of event objects, such as timestamps and other data values. This pattern is aligned both to the SSN (Semantic Sensor Network) ontology, and the Event-F model, which in turn both use DUL as an upper layer. | |
| Experience & Observation | to represent the epistemological "missing link" between a cognitive activity, e.g. the interaction with a cultural object, and any evidence of the effects this activity has on the individuals that are engaged with it; what can collectively be considered as an experience. | |
| ExperimentalParadigmData | to provide a minimal pattern for the integration and exploration of data from heterogeneous experimental paradigms in the biomedical domain | |
| ExplanationODP | Describing the process and components of an explanation in different disciplines. | |
| FIEST-IoT | See paper R. Agarwal, D. Fernandez, T. Elsaleh, A. Gyrard, J. Lanza, L. Sanchez, N. Georgantas, V. Issarny, "Unified IoT Ontology to Enable Interoperability and Federation of Testbeds", 3rd IEEE World Forum on IoT, pp. 70-75, Reston, USA, 12-14 December 2016. DOI: 10.1109/WF-IoT.2016.7845470, IEEE, HAL | |
| Food Recipe Ingredient Substitution ODP | ||
| Food Recipe Ingredient Substitution Ontology Design Pattern | To model substitutes for ingredients in food recipes. Essential aspects of modelling substitutes are their quantity in a recipe, the constraints and the qualitative and quantitative conditions for the substitutions, and other nutrition values, e.g. containing a number of calories or technological effects, and substitution objectives. The pattern should allow to represent different types of food substitutes in recipes, and recipe process, and overall notion of food substitution. | |
| GO Top | To represent types of gene-related entities and their parts. | |
| GearSpecies | to represent types of fishing gear with respect to the aquatic species they either are targeted to catch or can accidentally catch | |
| GearVessel | to represent types of fishing gear with regard to the types of vessel they can be mounted on | |
| GearWaterArea | to represent gear types in terms of the water areas where they can be employed to collect aquatic resources | |
| Gesture Interaction | The Gesture Interaction Pattern aims to model the pose and movement of human body that are used to interact with devices (particularly with device affordances). This helps to describe a human gesture with its relationship between certain device affordances, related body parts and the temporal components associated with those. This might be helpful in creating user specific gesture profiles. This ontology pattern is geared at mapping the ubiquitousness in gesture vocabularies by linking them appropriately and does not enforce designers and manufacturers to follow a standard. | |
| HasPest | Define the relationship between a concept and an organism which has characteristics that are regarded by other organisms as injurious or unwanted. Generally causing damages. | |
| HazardousSituation | To model hazardous situations and their associated hazardous events with events' participating objects and the hazards the objects are exposed to with the exposure value. | |
| HistoricalMap | The ontology's intent is to describe a historical map and its attributes. | |
| Information realization | To represent information objects and their physical realization. | |
| InformationObjectsAndRepresentationLanguages | - | |
| IntensionExtension | To represent the meaning of an information object: the concepts it expresses, the things it is about. | |
| Interest | Used for capturing the interest of a user, as well as capturing the provenance of interest predictions. | |
| Invoice | To represent the core attributes of an invoice | |
| LCA Pattern | Life Cycle Assessment (LCA) studies the environmental impact of products taking into account their entire life-span and production chain. This ontology design pattern specifies key aspects of LCA/LCI data models, namely the notions of flows, activities, agents, and products, as well as their properties. | |
| LicenseLinkedDataResources | To provide a pattern for expressing rights on Linked Data Resources, understood as RDF triples, datasets or mappings.
These rights include intellectual property rights, database rights and the right of access, which can be limited by personal data protection laws and others. Rights expressions may assert, waive and license the rights, either conditionally or inconditionally, either to the public or to agents in particular. |
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| LinnaeanTaxonomy | - | |
| List | To represent ordered collections, i.e. lists. | |
| Literal Reification | This pattern promotes any literal as “first class object” in OWL by reifying it as a proper individual of the class litre:Literal. | |
| Logistics Service (LoSe ODP) | ||
| LogisticsService | ||
| Map Legend Ontology | Map legends are keys to the understanding of symbols used on maps. Without such legends and the knowledge to interpret them, maps are reduced to mere pictures.From an information retrieval perspective, facts such as that a certain map contains transportation features organized in a hierarchy of highways, streets, trails, and so forth, remain hidden and therefore can neither be used by machines nor humans to enable a richer search for map contents. | |
| Material Transformation | To contextualize the transformation process from raw components and the required equipment to a final manufactured artifact. | |
| MaterialsProperty | To capture the provenance an assertion about a material's properties as well as capture the particulars of the property itself. | |
| Metonymy-species-commodity | To establish a link between species exploitation and consumer goods.
This pattern has been observed in WordNet, where words share the following metonymic or regular polysemic patterns: animal-food, animal-commodity and life form-consumer goods. This is why the pattern has been named "metonymy". Regular polysemy is a metonymic phenomenon in that it describes the substitution of one word sense by another related sense. It establishes a semantic relation between two concepts that are associated with the same word. Regular polysemy is regular in that it captures conventionalized and therefore recurrent processes of sense extension, which have been captured in lexical resources such as dictionaries and thesauri. |
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| ModifiedHazardousSituation | To modify the existing HazardousSituation ODP to additionally support proactive questions central to risk assessment and mitigation planning. | |
| Move | -- | |
| Musicalobject | This content ODP models the acoustic features of a music note played in a performance. | |
| Nary Participation | To represent events with their participants, time, space, etc. | |
| NewsReportingEvent | The pattern can be used for modelling situations in which we are not certain that a particular actual event has the properties which were described in a news message. We want to define the properties of an actual event which were reported (time, place, actors, subevents, cause, effect etc.), but not to treat them as universal, verified knowledge. The pattern also allows to define who is responsible for a particular description of an event and how this description is dealt with. | |
| Notepattern | The Music Note ODP models a symbolic note and its symbolic attributes. | |
| OOPMetrics | To represent software metrics especially for the purpose of detecting design-flaws in software systems based on these metrics. This is useful for re-engineering the software system., De a reprezenta metricile soft in special in scopul detectarii defectelor de proiectare din sistemele soft pe baza acestor metrici. Acest lucru este folositor pentru reingineria sistemului soft. | |
| Object with states | An object can have different states for which different restrictions apply. The goal of the pattern is to allow modelling the different states of an object and the restrictions on such object for its different states. | |
| Objectrole | To represents objects and the roles they play. | |
| Observation | The intent of this pattern is to represent observations of things, under a set of parameters. Common parameters may be the time and place of the observation, but may be any feature that is observed concerning the specific thing being observed. | |
| Parameter | To represent parameters to be used for a certain concept. | |
| PartOf | To represents entities and their parts. | |
| ParticipantRole | To represent participants in events holding specific roles in that particular event. | |
| Participation | To represent participation of an object in an event. | |
| PeriodicInterval | The goal of this pattern is to represent non-convex intervals where the duration of each internal interval and the duration of the gaps between intervals are constant. These intervals are called periodic intervals within the context of this pattern. | |
| Persons | ||
| PharmaInnova | To describe invoices with the PharmaInnova Model. This schema can be applied to other invoice models. | |
| Place | To talk about places of things. | |
| PlanConditions | -- | |
| Policy | The pattern intends to model policies, their characteristics and their associated entities, such as processes and agents. This pattern has been developed by MKLab at CERTH/ITI and the University of Liverpool for the PERICLES FP7 project. | |
| Pollution | The Pollution ontology design pattern (ODP) intends to model the pollution, the pollutants and their observations at various spatio-temporal points. It also captures the information about the various direct and indirect sources of pollution. The Pollution ODP makes use of Trajectory, Observation and Stub-Metapattern ODPs. | |
| Price | -- | |
| PrivacyPolicyPersonalData | Provides a model for personal data information within privacy policies | |
| Professor | ||
| Provenance | Extracted core of PROV-O | |
| RTMSmapping | to represent mappings between FSDAS application ontology network, and RTMS ontologies | |
| Reaction | To model dynamic situations, tracking agents and actions they produce, events that are results of some action(s), and consequences as new actions, i.e. reactions | |
| Reactor pattern | The remit of the reactor pattern is to enable the modelling of reactive processes that consume inputs and produce outputs under specific environmental conditions and on being triggered by certain events. | |
| RecurrentEventSeries | To represent recurrent event series as situations and collections of consecutive events, with a regular time period between events and unifying factors. | |
| RecurrentSituationSeries | To represent recurrent situation series as situations and collections of consecutive situations, with a regular time period between situations and unifying factors. | |
| Region | To represent and reason on values of attributes of things, by explicitly talking about the dimensions ("regions") of the attributes, which include those values. | |
| RelativeRelationship | For dynamically conceptualizing, establishing, tracking, and updating relative relationships and dependencies between entities (real or representational) of a physical, temporal, and/or importance scope. | |
| ReportingEvent | The intent of the pattern is to allow for modelling situations in which the knowledge about an event cannot be treated as certain. It is particularly useful for cases in which two or more agents provide different, contradictory information about the same event. It can be also used for modelling situation in which a single agent provided contradictory information about the same event in different points in time. In general the pattern allows for stating different circumstances of an act of the information provision. | |
| ReportingNewsEvent | The pattern can be used for modelling situations in which we are not certain that a particular actual event has the properties which were described in a news message. We want to define the properties of an actual event which were reported (time, place, actors, subevents, cause, effect etc.), but not to treat them as universal, verified knowledge. The pattern also allows to define who is responsible for a particular description of an event and how this description is dealt with. | |
| ResourceAbundanceObservation | The intent of the pattern is to be able to represent observations of aquatic resources, where the observations have been made a certain year and has certain other parameters. | |
| ResourceExploitationObservation | The intent of the pattern is to be able to represent observations of aquatic resources, where the observations have been made a certain year and has certain other parameters. | |
| Role task | To represent the assignment of tasks to roles | |
| Roles (OWL 2) | Capture the relational nature of roles using OWL 2 property chains, using theSocial Reality (OWL 2) pattern. Using this pattern the role-as-relation and role-as-class approach can coexist peacefully inside a single ontology. | |
| Scorepart | This content ODP formalises the structure and the hierarchies of a music score/symbolic representation system. | |
| Sequence | To represent sequence schemas. It defines the notion of transitive and intransitive precedence and their inverses. It can then be used between tasks, processes, time intervals, spatially locate objects, situations, etc. | |
| Set | To model sets of things (elements). A Set is a collection that cannot contain duplicate elements. | |
| SimpleOrAggregated | The goal of this pattern is to represent objects that can be simple or aggregated (that is, several objects gathered in another object acting as a whole). The main difference between the aggregation relation and other mereological relationships (such as part-of or componency) is that the aggregated object and its aggregated members should belong to the same concept. For example, a turbine is part of an engine, whereas an aggregated provider is formed by providers. | |
| SimpleTopic | It is a simplified version of the ontology "ontopic". It is used when we want to talk about the topics of a documents and their relationships. | |
| Situation | To represent contexts or situations, and the things that are contextualized. | |
| Smart City Strategy Design | This modular ODP is used for strategies design to transform a city to a smart one. | |
| SmartHome | The SmartEnv as a network of 8 ontology patterns relies on the SSN ontology and represents a smart environment. Each pattern model one aspect of such environments including temporal, spatial, objects, network, observation etc. The patterns are:
https://w3id.org/smartenvironment/patterns/time.owl https://w3id.org/smartenvironment/patterns/geometry.owl https://w3id.org/smartenvironment/patterns/event.owl https://w3id.org/smartenvironment/patterns/object.owl https://w3id.org/smartenvironment/patterns/sensing.owl https://w3id.org/smartenvironment/patterns/situation.owl https://w3id.org/smartenvironment/patterns/place.owl https://w3id.org/smartenvironment/patterns/network.owl |
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| SmartHome Event | This pattern is used to represent events in the context of smart environments. An event in this pattern is represented in the form of either a Manifestation or a Complex Event, where a manifestation represents the occurrence of a specific situation of an object which can be directly captured from sensor data ("the TV is switched on"), whereas a complex event is defined based on its preconditions that can involve different events (e.g., "watching TV" happens when "the TV is switched on" and "someone is sitting on the couch"). The precondition of a complex event is represented in the form of a situation (DUL:Situation) which indicates proper temporal distances between a complex event and, the events involved in its definition. | |
| SmartHome FeatureOfInterest | To represent the specific feature (property) of a certain object that is observed (measured) by a sensing process. Since an object can have many features, it is not enough to point at the object itself, but one also need to specify the property that is in focus. | |
| SmartHome Geometry | To represent geospatial relations between objects. | |
| SmartHome Network | This pattern relies on both the SSN ontology and DUL in order to represent sensors and other techniqually needed objects to deploy a network in a smart home environment. The concept of Network is modeled in this pattern as a System (http://purl.oclc.org/NET/ssnx/ssn#System) whose constituents are NodeStations (subclass of Node which is in turn subsumed by the class http://purl.oclc.org/NET/ssnx/ssn#Device). Another subsumee of the Device class is the class Node describing more details about the content of each node station. Depending on their roles, nodes of a network are devided into types of node senders (whcih observe a phenomenon and send the data) and receivers (which receive the observation data). | |
| SmartHome Object | ||
| SmartHome Place | To represent a SmartHome as a place (specialization of http://www.ontologydesignpatterns.org/ont/dul/DUL.owl#PhysicalPlace) which contains a number of sections (other physical places) and is also seen as a platform (e.g. a platform for a sensor network). | |
| SmartHome Property | ||
| SmartHome Sensing | ||
| SmartHome Situation | ||
| SmartHome TimeInterval | This pattern allows us to represent a temporal distance between two timestamps within an observation process in a SmartHome. There are other situations where we need to measure the interval (temporal distance) in the form of time steps regardless of the exact dates indicating the boundaries of the interval. The latter case is used when we want to define a complex event based on the temporal distance with its preconditions. | |
| Social Reality (OWL 2) | Capture Searle's theory on observer relative and institutional facts, used in creating social reality. See also the OWL 2 Agent-Role pattern. | |
| Spatial Graph Adapter (SGA) | Link to OWL File: https://raw.githubusercontent.com/HollyFerguson/Spatial-Graph-Adapter-Pattern/master/SGA_Protege_OWL.owl
PDF of SGA Pattern Image: Image:USOcore3.pdf To answer the modern, interdisciplinary questions asked within the Building domain, industry tools and data standards need to become far more interoperable in order to be able to provide a full and accurate set of analysis to engineers and designers. To provide this full picture from which to make decisions, we needed a way to resolve the spatial data that tools provide in order to synthesize it together. In addition to missing, incorrect, and inconsistent information, there is also the challenge of not being able to use existing spatial patterns to capture the full granularity or specificity of the geospatial descriptions required to capture full and dynamic geometric contexts. The Spatial Graph Adapter (SGA) pattern provides us a way to extend the simple identification of geometries and simultaneously assign further descriptions and self-context as well as contextual and relational references to other spatial objects in or surrounding the original entity. For example, not only can we use existing notions say that one surface is adjacent to another, but we have a way to say exactly what type of adjacency and to what extent it is adjacent (more examples in accompanying paper). The SGA has also been implemented for several building industry schemas and our further research is in bringing this and other patterns into full use in a Linked Data Platform (ongoing). |
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| SpatioTemporalExtent | This pattern models a spatiotemporal extent, i.e., a combination of spatial and temporal extent as a set of generalized trajectories which cannot have temporal overlap. This pattern reuses semantic trajectory pattern as component. | |
| SpeciesBathymetry | to represent species together with their typical environment in terms of bathymetric range and water area | |
| SpeciesConditions | This pattern aims at representing the habitat and bathymetric features that are typical for an aquatic species, in the context of a given water area. | |
| SpeciesConservation | This pattern intend to represent a description of the conservation status of aquatic species. | |
| SpeciesEat | The pattern intends to model the situation that a certain species feed upon other species and that some species are preyed upon by a certain species. | |
| SpeciesHabitat | to represent species together with their typical environment in terms of habitat and water area | |
| SpeciesNames | To express the terminological variants and the conceptual similarity that can be sources of confusion between species. | |
| Standard Enforcer Pattern | The remit of the SEP content pattern is to represent the relation between standards and the processes, operations, activities and services that enforce them, the domains they cater to and the scope of that specific process, operation, activity, service within the context of the domain. | |
| Tagging | To represent a tagging situation, in which someone uses a term, from a list of a folksonomy, to tag something (or the content of something). We might also want to represent the time and the polarity of the tagging. | |
| TaskExecution | To represent actions through which tasks are executed. | |
| Template Instance | The Template Instance pattern proposes a way of reducing the number of reified instances and the related property assertion axioms in an ontology, especially for the cases in which the reified relations are identical for multiple entities. | |
| Time indexed participation | To represent participants in events at some time,To represent participants in parts of events. | |
| Time indexed person role | To represent classification of things at a certain time. | |
| TimeIndexedClassification | --- | |
| TimeIndexedPartOf | To represent objects that have temporary parts. | |
| TimeIndexedSituation | To represent time indexed situations. | |
| TimeInterval | To represent time intervals. | |
| TimePeriod | To represent time periods between events. | |
| Topic | To represent topics and their relations. | |
| Trajectory | The pattern provides a model of trajectory, which is understood as a sequence of spatiotemporal points. The model generalizing the Semantic Trajectory pattern from [Hu, et al., COSIT 2013] by employing the notion of place, instead of location/geo-coordinate, to represent the spatial extent of the trajectory. This pattern is suitable for a variety of trajectory datasets and easily extendible by by aligning to or matching with existing trajectory ontologies, foundational ontologies, or other domain specific vocabularies. | |
| Transition | To represent basic knowledge about transitions (events, states, processes, objects). | |
| TransportPattern | The goal of the pattern is to facilitate modelling the movement of mass or energy from one location to another, based on a common persistent frame of reference. | |
| Types of entities | To identify and categorize the most general types of things in the domain of discourse. | |
| VerticalDistribution | The intent of the pattern is to be able to represent vertical distribution for aquatic resources. | |
| VesselSpecies | to provide a direct relation between aquatic species and vessels that are able to catch them, regardless of the fishing gear used. | |
| VesselWaterArea | to represent a direct relation between vessel types and water areas regardless of what type of fishing gear is fitted | |
| WinstonPartWhole |
