Claims:We Claim:
1. A method of responding to a search query, comprising:
a. tracking module
b. a user module
c. a net management module
d. item management module
e. privacy management module
f. a search/share module
g. a proximity module
h. a knowledge management module
i. semantic social linking module
j. tagging module
k. a knowledge database
l. a classification module.
2. The method of claim 1, wherein the host server is one embodiment of the system
3. The method of claim 2, wherein the host server included distributed components could be implemented as a collective element
4. The method of claim 1, wherein the tracking module can be any combination of software agents and hardware modules able to track user activity related to web content added to the management environment
, Description:Technical Field of the Invention
The present disclosure relates generally to knowledge management, and to semantics enabled knowledge management.
Background of the Invention
In addition, due to ease of digital communication and dialogue to facilitate information exchange, intellectual content is being created in forms logged in formats such as through email text, instant messaging, RSS, portable devices (e.g., SMS and email), digital images, videos, and/or web-based social networks, etc. The wide array of formats in which intellect is being distributed among has made knowledge management and collection a daunting task in the digital age.
For example, with the vast array of digitized intellectual content distributed among various sources and formats, searching for the relevant information has become difficult. Web-based search engines that focus on keyword matches for various document fields such as author, abstract, key-topics, full-text sometimes do not yield the most relevant search results to the user. In other situations, a keyword which is relevant to content of a specific topic, simply is not explicitly documented in an article.
Further, managing one’s knowledge collection via creating files and folders in one’s desktop operating system no longer suffices the need to efficiently manage one’s collection of content and for the user to effectively identify/locate the content of relevancy.
Object of the Invention
The object of the present invention is systems, methods, techniques and strategies related to knowledge management.
Summary of the Invention
In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of identifying a set of tags in a plurality of objects in a web-space. The method includes detecting a parts-of-speech portion of the set of tags that are parts-of-speech via natural language processing and expression analysis. The parts-of-speech, in some embodiments, include at least one of a nouns, a verb, a noun phrase, and/or a proper noun. The method can, in some embodiments, further include detecting an entity portion of the set of tags that are entities via one or more entity detection mechanisms. The entities can include at least one of a people, place, organization, product, event. A metadata portion of the set of tags can be identified based on metadata of the plurality of objects. In addition, a portion of the set of tags can be identified via detecting one or more of the portion of the set of tags in a pre-determined knowledge database. In some embodiments, the set of tags are represented as one or more of strings, and semantic objects.
In one embodiment, the one or more entity detection mechanisms comprise linguistic rules, semantic rules, and/or statistical properties of terms in an object of the content collection. Further the pre-determined knowledge database can include one or more of a set of ontologies, a set of taxonomies, a set of folksonomies, a set of known entities, and/or a set of known topics. In addition, one or more concepts that one or more objects of the plurality of objects encompasses can be identified via Bayesian classification. One embodiment includes tracking tags that are edited by users. The editing of a tag can includes one or more of, adding a tag, editing metadata of a tag, and/or removing a tag.
One embodiment further includes converting a given tag of the set of tags into semantic objects. For example, a first tag of the set of tags can be converted into a semantic object in response to, receiving an edit request from a user to edit the first tag of the set of tags and/or receiving a comparison request to compare the first tag of the set of tags to a structured knowledge database. The structured knowledge database can include one or more of taxonomy and ontology. In addition, a prefix of the first tag can be represented as a semantic object, wherein the prefix of the first tag provides an indication of a category of the first tag.

Brief description of Drawings:
FIG. 1 depicts a block diagram illustrating hardware and/or software components of a system for providing various services offered by the knowledge management
Detailed Description of Invention:
In the example of FIG. 1, the host server is one embodiment of the system. The system includes a tracking module, a user module, a net management module having an item management module and/or a privacy management module, a search/share module, a proximity module having a semantic social linking module, a knowledge management module, a knowledge database, and/or a tagging module having a classification module. Additional or less modules can be included without deviating from the novel art of this disclosure. In addition, each module in the example of FIG. 1 can include any number and combination of sub-modules, and systems, implemented with any combination of hardware and/or software modules.
The host server, although illustrated as comprised of distributed components (physically distributed and/or functionally distributed), could be implemented as a collective element. In some embodiments, some or all of the modules, and/or the functions represented by each of the modules can be combined in any convenient or known manner. Furthermore, the functions represented by the modules can be implemented individually or in any combination thereof, partially or wholly, in hardware, software, or a combination of hardware and software.
The tracking module can be any combination of software agents and/or hardware modules able to track user activity related to web content added to the management environment. For example, the tracking module records the instances when web content added to the management environment is viewed, who viewed the web content, and the time and date the content is viewed. The data can be stored in the system for a predetermined amount of time, as suitable. The tracking module may also record the instances when the web content is bookmarked, collected, shared with another user and/or net, and who bookmarks, collects, and/or shares the content. The recipient and the net receiving the web content can also be recorded. In some instances, the tracking module also records different users add the same content to the management environment, since identical web content added by different users can be an indication of interest.
In one embodiment, the tracking module determines when a user views a third-party web page in response to viewing web content in the management environment. The tracking module can also record when additional actions occur in response to viewing web content web content having promotional content. In most instances, the identities of the parties involved in the action are recorded. In some embodiments, the tracking module collects numerical data regarding content access/distribution and performs elementary statistical analysis on the data collected. In some embodiments, elementary statistical analysis and/or additional data analysis methods are performed in a market data module.
For example, the tracking module can record the number and percentage of visitors that collected the web content, visitors that collected the web content then shared the web content, visitors who made a purchase based on the web content. The tracking module may also record the average number of subsequent shares per user that has viewed the web content, the average number of visits to the web content before collecting it. In one embodiment, the tracking module determines when a user collects web content, the average number of repeat visits to web content per user prior to collecting the web content. The total number of users that the web content has spread to can be determined by the tracking module. In addition, the velocity and/or the acceleration of the spread of the web content can be determined and recorded.
In one embodiment, the tracking module determines the total volume of collections, shares, bookmarks, shares, purchases for web content over a predetermined amount of time. For example, the daily volume of the total number of users that collected an advertisement for the iPhone can be determined and stored. In one embodiment, the tracking module can determine which users are the top spreaders of the web content. In some embodiments, the tracking module distinguishes between a visitor who is not a subscriber and a visitor who is a subscriber and records the subscription status of a user who accessed and/or distributed web content.