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8211 Query Construction In general, when specifying a search, users enter a small number of terms in the query Yet the query describes the information need, and is commonly based on the words that people expect to occur in the types of document they seek This gives rise to a fundamental problem, in that not all documents will use the same words to refer to the same concept Therefore, not all the documents that discuss the concept will be retrieved by a simple keyword-based search Furthermore, query terms may of course have multiple meanings (query term polysemy) As conventional search engines cannot interpret the sense of the user s search, the ambiguity of the query leads to the retrieval of irrelevant information.

As well as considering multiple models of phone, you need to consider multiple physical phones, whether of the same manufacturer or not In a consumer environment you may not think that a user will ever connect more than one Symbian OS smartphone to a PC, but increasing use of mobile phones by all members of the family and increasing penetration of smartphones in the mobile phone market make that an unwise assumption Smartphones are also being used more and more in the enterprise and corporate environment, and that may well be the trigger for developing PC Connectivity software in the rst place Multiple connected phones raise two issues Firstly, more than one smartphone may be connected at a time, particularly with bearers such as Bluetooth, and so PC Connectivity software must provide some way of deciding which one to communicate with.

1 1 = 64 65

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Although the problems of query ambiguity can be overcome to some degree, for example by careful choice of additional query terms, there is evidence to suggest that many people may not be prepared to do this For example, an analysis of the transaction logs of the Excite WWW search engine (Jansen et al, 2000) showed that web search engine queries contain on average 22 terms Comparable user behaviour can also be observed on corporate Intranets An analysis of the queries submitted to BT s Intranet search engine over a 4-month period between January 2004 and May 2004 showed that 99 % of the submitted queries only contained a single phrase and that, on average, each phrase contained 182 keywords 8212.

Let us introduce some notation here Let E denote the expert and E denote a nonexpert and let A denote the event that the student responds correctly to each question We found that P(A|E) = 1 while we want P(E|A), so again the condition is crucial So the total area, shown as two rectangles in Figure 33, corresponding to the probability that all six of the questions are answered correctly, is P(A) = P(A and E) + P(A and E) P(A) = 1 65 2 = 65

While developing the services for this book, I used command-line PC clients because they were very simple and they allowed me to focus on the device side, so that I was then able to develop the PC software on the assumption that I had relatively reliable services on the phone These command-line clients could use just the rst connected smartphone, and that was acceptable in a test application The same behavior is not acceptable in a production application, and all of my GUI applications allow the user to select the phone to work with Early PC Connect software was developed on the assumption that there would only ever be one connected phone; subsequent work-arounds for this looked clumsy and were not intuitive to users In contrast, SCOM and BAL have been designed to handle multiple connected phones from the start, and there is no excuse for not doing the same.

64 65

Lack of Semantics Converse to the problem of polysemy, is the fact that conventional search engines that match query terms against a keyword-based index will fail to match relevant information when the keywords used in the query are different from those used in the index, despite having the same meaning (index term synonymy) Although this problem can be overcome to some extent through thesaurus-based expansion of the query, the resultant increased level of document recall may result in the search engine returning too many results for the user to be able to process realistically In addition to an inability to handle synonymy and polysemy, conventional search engines are unaware of any other semantic links between concepts Consider, for example, the following query: telecom company Europe John Smith director.

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