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Not all phones are capable of handling concatenated SMS messages, but the Symbian OS SMS MTM and SMS stack handle this, so an application developer can largely ignore the length of an SMS message (except for billing purposes!) SMS messages are sent to an SMS Service Center for forwarding to their nal destination This is equivalent to an email server However, the user must have already con gured their SMS, so an application developer is unlikely to need to touch it To actually send a message, it is copied to the SMS Service Index entry This can theoretically be done synchronously, but in this case the call will block until the message is sent, which may take some time For this reason it is normal to copy the message asynchronously SMS messages are received by push rather than pull .

The KIM architecture also facilitates the indexing and retrieval of documents with respect to particular named entities such as people, companies, organisations and locations. Formal background knowledge (held in the KIM ontological knowledgebase) can be linked to the entities identi ed in Web documents as described in 3. The knowledge base can host two types of entity knowledge: pre-populated descriptions and knowledge acquired from trusted sources, and automatically extracted descriptions derived through knowledge discovery and acquisition methods such as data mining. The KIM platform enables the ontology to be extended and knowledge base to be populated to meet the domainspeci c needs of a semantic annotation application. The semantic annotation process in KIM assigns to the named entities in the text links to semantic descriptions of those entities in the ontological knowledgebase. The semantic descriptions provide both class and instance information about the entities referred to in the documents. KIM analyses the text, recognises references to named entities and matches the reference with a known entity from the knowledgebase (i.e. an ontological instance). The reference in the document is annotated with the URI of the entity. In 3, Figure 3.2 shows the way in which a segment of text concerning a Bulgarian company might be associated with a number of entities in the ontological knowledge base.

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responds to an innocuous question such as Is your Social Security number even So if the respondent answers Yes, it is not known to which question he is responding Show, however, that with a large number of respondents, the frequency of illegal drug use can be determined 4 Combine cards from several decks and create another deck of cards with, say, 12 aces and 40 other cards Have students select a card and not reveal whether it is an ace or not If an ace is chosen, have the students answer the question about illegal drugs in the previous exploration and otherwise answer an innocuous question Then approximate the use of illegal drugs 5 A certain brand of lie detector is accurate with probability 092; that is, if a person is telling the truth, the detector indicates he is telling the truth with probability 092, while if he is lying, the detector indicates he is lying with probability 092 Assume that 98% of the subjects of the test are truthful What is the probability that a person is lying if the detector indicates he is lying

This means that the SMS Service Center sends the SMS message directly to the Symbian OS phone, where a watcher (just an active object in the watcher thread that monitors some incoming communications channel and acts on received data) intercepts it and places it in the Message Store This contrasts with the pull method whereby the Server MTM requests.

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