semantics | 易学教程

python method to extract content (excluding navigation) from an HTML page

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问题 Of course an HTML page can be parsed using any number of python parsers, but I'm surprised that there don't seem to be any public parsing scripts to extract meaningful content (excluding sidebars, navigation, etc.) from a given HTML doc. I'm guessing it's something like collecting DIV and P elements and then checking them for a minimum amount of text content, but I'm sure a solid implementation would include plenty of things that I haven't thought of. 回答1: Try the Beautiful Soup library for

Building or Finding a “relevant terms” suggestion feature

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问题 Given a few words of input, I want to have a utility that will return a diverse set of relevant terms, phrases, or concepts. A caveat is that it would need to have a large graph of terms to begin with, or else the feature would not be very useful. For example, submitting "baseball" would return ["shortstop", "Babe Ruth", "foul ball", "steroids", ... ] Google Sets is the best example I can find of this kind of feature, but I can't use it since they have no public API (and I wont go against

p vs. ol or ul for form styling

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问题 Typically I style forms with the unordered list tag e.g. <fieldset> <ul> <li> <label for="txtName">Name</label> <input type="text" id="txtName" /> </li> </ul> </fieldset> However, often I see markup that uses the <p> tag instead, like so: <fieldset> <p> <label for="txtName">Name</label> <input type="text" id="txtName" /> </p> </fieldset> Which of these is more semantically correct? Are there any pros or cons to the different methods, other than the <p> style being more succinct? Edit: Clearly

Toggle Jena Reasoner

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I have a Jena ontology model ( OntModel ) which I'm modifying programatically. This model was initially created using the default ModelFactory method to create an Ontology model (with no parameters) . The problem was, as the program ran and the model was changed, the default Jena Reasoner would run (and run and run and run). The process was entirely too slow for what I need and would run out of memory on large data sets. I changed the program to use a different ontology model factory method to create a model with no reasoner. This ran extremely fast and exhibited none of the memory problems I

What is the difference between triplestores and graph databases?

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问题 There are triplestores (semantic databases), and there are general-purpose graph databases. Both are based on the similar concepts of linking one "item" to another via a relationship. Triplestores support RDF and are queried by SPARQL, but such add-ons can be (and are) implemented ontop of general-purpose graph databases as well. What is the fundamental difference that would make you prefer a semantic db / triplestore to a general purpose graph database like neo4j? 回答1: Triples stores are

what do the words platform and api exactly mean?

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i've bought a book "learning the java SE 6 platform". i wonder what the word platform really means. cause isn't it just a bunch of classes that i can use. the JDK 1.6 node in Netbeans under Libraries. And what is API? isn´t it the same thing as platform. But doesnt library mean the same thing..a bunch of classes with some superclasses and so on? The term "platform" is used to denote any collection of software, services and resources that, within a specific context, are considered a given so they can be used as building blocks for application software (or to build a higher level platform on top

Measuring semantic similarity between two phrases [closed]

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问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 4 years ago . I want to measure semantic similarity between two phrases/sentences. Is there any framework that I can use directly and reliably? I have already checked out this question, but its pretty old and I couldn't find real helpful answer there. There was one link, but I found this unreliable. e.g.: I have a phrase:

Simple definition of “semantics” as it is commonly used in relation to programming languages/APIs?

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It occurred to me today that although I've adopted and don't infrequently use the term "semantics" when referring to language elements and naming conventions, I don't have any sense of a formal definition. My attempt to find a formal definition in the programming domain made my eyes glaze over. I have a sense of its meaning from the contexts in which I've encountered it, and from its more common usage with respect to linguistics, and I typically use the term to refer to the meaning or expressiveness of the language element, or the fidelity of nomenclature to the intent, behaviour, or function

Why is exactly once semantics infeasible?

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In RPC semantics where Erlang has hope for the best, SUN RPC with at-least once and Java RMI with at-most-once but no one has exactly once semantics. Why does it seem infeasible to have exactly once semantics? For example if the client keeps resending a uniquely tagged request until a reply is received and a server keeps track of all handled requests in order not to duplicate a request. Would that not be exactly once? Consider what happens if the server crashes between carrying out the request and recording that it has carried out the request? You can get at-most-once by recording the request,

Is there any killer application for Ontology/semantics/OWL/RDF yet? [closed]

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问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 5 years ago . I got interested in semantic technologies after reading a lot of books, blogs and articles on the net saying that it would make data machine-understandable, allow intelligent agents make great reasoning, automated & dynamic service composition etc.. I am still reading the same stuff from 2 years. The number of