Community:Scenarios
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Revision as of 09:32, 11 June 2008
| Page name | ScenarioOf | Description |
|---|---|---|
| AgentRole/Scenario 1 | AgentRole | Aldo Gangemi is a senior researcher. He is also father and a saxophonist. |
| CollectionEntity/Scenario 1 | CollectionEntity | Aldo, Alfio and Valentina are members of the STLab. |
| ConceptTerms/Scenario 1 | ConceptTerms | This ontology contains an example ABox for the ConceptTerms CP available at http://sites.google.com/site/pierreyvesvandenbussche/resources/ConceptTerms.owl This ontology describes example coming from Eurovoc(http://europa.eu/eurovoc/) where a concept has a preferred term "social sciences" in english and a simple non preferred term (i.e. synonyms) "humanities" in the same language whereas the same concept has a preferred term "sciences sociales" in french and a simple non preferred term "sciences humaines" in this language. We consider a second preferred term in english "award" which names a concept. In this particular information retrieval context, we define a coumpound non preferred term "social sciences awards" which is related to preferred terms "social sciences" and "award". |
| Literal Reification/Scenario 1 | Literal Reification | Used frequently in the Web 2.0, descriptive tags such as the ones used in folksonomies are keywords (e.g., strings) assigned to a particular resource, such as a web document, with the intent to describe it. Just like words in any natural language, tags may have different meanings depending on the context in which they are used. For instance, the word “Paris” may be either a name of a city or a first name of a person. Here, it is clear that the act of tagging with “Paris” both the Wikipedia pages about the Eiffel Tower and the one about Paris Hilton hides two different intents: in the former case, “Paris” denotes the city in which the tower stands; in the latter case, “Paris” denotes a particular person, i.e., Paris Hilton. Using the literal reification pattern it is possible to express descriptive tags as first class objects in OWL, by considering them as proper individuals of the class litre:Literal. Different individuals may thus represent different meanings even if their literal values are identical. |
| Literal Reification/Scenario 2 | Literal Reification | NameHistory3.0 is a (fictional) institution that keeps track of all the names of people, and stores them as an ABox of the FOAF ontology. In particular, each person is stored as an individual of the class foaf:Person with a specific first name (data property foaf:givenName) and family name (data property foaf:familyName). On 24/09/2010, Bruce Wayne formally applied for changing his first name to Jack. Since NameHistory3.0 has to keep track of everything concerning names of people, on that date “Jack” was added as Mr. Wayne's first name. It was then that NameHistory3.0 noticed that, without any additional information, it is not possible to know which of the two first names are legally valid at any given point in time. A solution to that scenario, which avoids any modification of the ontology model and consequently of the entire triple store (operation that is obviously time-consuming and error-prone), is to use the literal reification pattern in combination with the new expressivity for punning in OWL 2. Through them, it is possible to define a literal individual as also belonging to the class foaf:givenName – that is actually defined as a data property, but may be additionally be meta-modelled as a class. We can now associate a particular time interval to each literal, so as to represent when the literal itself, i.e., the given name, is legally valid. |
| SAREF4SYST/Scenario 1 | SAREF4SYST | In the Smart Energy domain, electric power systems can exchange electricity with other electric power systems. The electric energy can flow both ways in some cases (from the Public Grid to a Prosumer), or in only one way (from the Public Grid to a Load). Electric power systems can be made up of different sub-systems. Generic sub-types of electric power systems include producers, consumers, storage systems, transmission systems.
Electric power systems may be connected one to another at electrical connection points. An Electric power system may have multiple connection points (Multiple Winding Transformer generally have one single primary winding with two or more secondary windings). Generic sub-types of electrical connection points include plugs, sockets, direct-current, single-phase, three-phase, connection points. An Electrical connection may exist between two Electric power systems through two of their respective connection points. Generic sub-types of electrical connections include Single-phase Buses, Three-phase Buses. A single-phase electric power system can be connected using different configurations at a three-phase bus (phase~1-to-neutral, phase~2-to-neutral, phase~3-to-neutral). |
| SAREF4SYST/Scenario 2 | SAREF4SYST | Buildings, Storeys, Spaces, are different sub-types of Zones. Zones can contain sub-zones. Zones can be adjacent or intersect with other zones. Two zones may share one or more connections. For example some fresh air may be created inside a storey if it has two controllable openings to the exterior at different cardinal points. Lifts have one or more openings, and evolve in a shaft. Storeys may have openings to the shaft. Both the lift openings and the storey openings may have doors that may be in an open or closed state. |
| SAREF4SYST/Scenario 3 | SAREF4SYST | Smart devices contain microcontrollers with Input/Output ports and RadioFrequency (RF) communication modules of different kinds. Wired communication may be established between two devices directly, and between two or more devices through some bus. RF communication from a sender to receivers may be established at a certain radiofrequency, with each party powering its RF module at a certain level, and receivers having a relative measure of the Received Signal Strengh Indicator (RSSI) and Signal-to-Noise Ratio (SNR). |
| SimpleOrAggregated/Scenario 1 | SimpleOrAggregated | Modelling simple and aggregated service providers within the mIO! ontology network. Service providers are also organized by types. |
| SimpleOrAggregated/Scenario 2 | SimpleOrAggregated | Modelling simple and aggregated context sources within the mIO! ontology network. |
| SimpleOrAggregated/Scenario 3 | SimpleOrAggregated | Modelling simple and aggregated resources. These resources are also organized by types, specifically, they can be computing or storage resources. |
| Situation/Scenario 1 | Situation | I prepared a coffee with my heater, 300 ml of water, and an Arabica coffee mix. |
