[ETNEWS, 2009-05-27]
Saltllux Inc.(www.saltlux.com) is a company who is building a new history about the search market through suggesting document resource utilization revitalization method for so called knowledge ecosystem
Being established as a technical contents localization company in 1979, Saltlux became IT based language and document processing company through M&A with Sysmeta who owned language information processing technology.
Saltlux has been recognized to the world of IT because of its technologies and know-how's by beeing nominated as one of the Asia's 200 IT corporate by world famous Red Herring and by publishing a semantic technology developed by Saltlux and use case of it on the web homepage of W3C, web standardization organization. Currently, Saltlux is one of the leaders in the field of corporate search engine and semantic web business.
Saltlux's technology was recognized abroad, too. Saltlux was selected as only one of the project partner coworkers from Asian companies for the biggest European fund projects of FP6 (Super Project) and FP7 (LarkC Project). Saltlux has already accumulated references of semantic web technology application in the fields of public patented mobile on-line market ubiquitous, etc.
Saltlux introduced an integrated search engine of information search and mining with semantic technology. They become distinguished in the high functional information search, too. Recently Saltlux introduced SearchBox, an hardware integrated software server of plug and play type of operation for the improvement of productivity and cost saving. This is neccessary for the government offices and enterprises because of their workload increase due to the human resouces relocations and retirement.
SearchBox periodically and automatically collects documents at 5 minutes at least and a day at the longest interval. Archiving function protects the loss of documents. The collected documents could automatically and easily be classified and shared by departments and by purposed while the existinf old way is to manually collect and share the documents by e-mail messenger server, etc.
SearchBox may search images, graphs and charts in addition to text sentences. Showing keyword summarized important sentence is another characteristics of SearchBox. Because of the low cost, SearchBox may beused by a small companies without any load and the new adopters may easily used because it does have an easy user interface. Japanese market response has been grate since its distribution through sales channels of Samurais and others.
Tony Lee, the President and CEO of Saltlux says, "A big scale knowledge ecosystem may be constructed through activation of small knowledge ecosystem construction." Tony suggested a new paradigm of "small knowledge ecosystem" to the domestic companies through SearchBox, his key product and emphasized that his compqny will maximize the in-house document utilization of an organization. Small knowledge ecosystem is a system that shares the internal resources by department not by a big scale. Like nervouse system the precisely constructed small knowledge ecosystem will sucure the healthy big knowledge ecosystem.
Tony says, "to be survived in a severely competitive global market a small know-how of an individual member of an organization should be utilized as a competition maximization factor. The needs for the SearchBox will be rapidly growing domestically and globally due to its functional support."
Saltlux pays efforts to improve the customers' business efficiency and further improves internal innovation. The company has long adopted "8 to 5 concentrated working hour system", beginning working at 8 a.m. and ending at 5 p.m. Employees of this company adopts "8:2 law" spending 80% for the individual innovation and 20% for the improvement of company's competitiveness.
Reporter: J.W.Chung (coolj@etnews.co.kr)
Thursday, May 28, 2009
Thursday, May 21, 2009
Search & Discovery that leads Knowledge World
Semantic Search: Discovery of Hidden Knowledge
13:30 ~ 17:00 hour, June 9, 2009
“A seminar on Search and Discovery that leads Knowledge World will be held at the Textile Center near Samsung subway station. Entry fee for pre-registrants is free.”
Now, “Knowledge orientation of information and security of insight” becomes more important while we have invested time and money for “information orientation of knowledge and share” in the past.
With information itself we could not be survived in this endless competition. Conversion of huge amount of in-house information to Knowledge through integration and analysis could only improve competitiveness of a corporation.
We invite you to join our seminar on “Semantic Search: Discovery of Hidden Knowledge” as a second campaign of “Search and Discovery that leads knowledge World” on June 9, 2009 (Tuesday) being held by Saltlux Inc. one of the world leaders in semantic search solution and service market.
You will be networking with the specialists and you will have experience the “Enterprise Search and Innovation of Semantic Technology” for time and money saving, discovery of hidden in-house information, and security of market insight of knowledge conversion of information.
When: June 9, 2009, 13:30 ~ 17:00
venue: Diamond hall, Textile Center near Samsung subway station (17F)
Pre-registration: 150 first comers will be first served by June 7, 2009
(On-line pre-registration via www.saltlux.com)
Entry Fee: Free
(Car paring will not be supported by sponsor. Please use public transportation)
12:30 ~ 13:30 Registration & Product Exhibition
13:30 ~ 14:10 [Invited speech] Trends of semantic search technology ...Prof. Y.T.Park, SSU
14:10 ~ 14:50 Knowledge orientation of Information and Insight ...Tony Lee, Saltlux
14:50 ~ 15:10 Coffee Break & Product Exhibition
15:10 ~ 15:50 Integrated semantic search, Discovery of hidden information...I.J.Kim, Saltlux
15:50 ~ 16:30 In-/external knowledge networking, in-/external information integration and discovery of connected knowledge ...Albert Ahn, Saltlux
16:30 ~ 17:10 Multidivisional visual analysis, diversified trends analysis and visualization ...Y.I.Chung, Saltlux
17:10 ~ 18:00 Product Exhibition & Network
Inquiries: Ms. M.J.Moon; 02-3402-0081; mjmoon@saltlux.com
Semantic Search: Discovery of Hidden Knowledge
13:30 ~ 17:00 hour, June 9, 2009
“A seminar on Search and Discovery that leads Knowledge World will be held at the Textile Center near Samsung subway station. Entry fee for pre-registrants is free.”
Now, “Knowledge orientation of information and security of insight” becomes more important while we have invested time and money for “information orientation of knowledge and share” in the past.
With information itself we could not be survived in this endless competition. Conversion of huge amount of in-house information to Knowledge through integration and analysis could only improve competitiveness of a corporation.
We invite you to join our seminar on “Semantic Search: Discovery of Hidden Knowledge” as a second campaign of “Search and Discovery that leads knowledge World” on June 9, 2009 (Tuesday) being held by Saltlux Inc. one of the world leaders in semantic search solution and service market.
You will be networking with the specialists and you will have experience the “Enterprise Search and Innovation of Semantic Technology” for time and money saving, discovery of hidden in-house information, and security of market insight of knowledge conversion of information.
When: June 9, 2009, 13:30 ~ 17:00
venue: Diamond hall, Textile Center near Samsung subway station (17F)
Pre-registration: 150 first comers will be first served by June 7, 2009
(On-line pre-registration via www.saltlux.com)
Entry Fee: Free
(Car paring will not be supported by sponsor. Please use public transportation)
12:30 ~ 13:30 Registration & Product Exhibition
13:30 ~ 14:10 [Invited speech] Trends of semantic search technology ...Prof. Y.T.Park, SSU
14:10 ~ 14:50 Knowledge orientation of Information and Insight ...Tony Lee, Saltlux
14:50 ~ 15:10 Coffee Break & Product Exhibition
15:10 ~ 15:50 Integrated semantic search, Discovery of hidden information...I.J.Kim, Saltlux
15:50 ~ 16:30 In-/external knowledge networking, in-/external information integration and discovery of connected knowledge ...Albert Ahn, Saltlux
16:30 ~ 17:10 Multidivisional visual analysis, diversified trends analysis and visualization ...Y.I.Chung, Saltlux
17:10 ~ 18:00 Product Exhibition & Network
Inquiries: Ms. M.J.Moon; 02-3402-0081; mjmoon@saltlux.com
Thursday, May 7, 2009
Clever Retrieval – Semantic Search
1. Concept
Existing information retrieval is an acquainted technology and science familiar to us.
According to Wikipedia definition, it is one of the fields of science that is looking for the contents in a documents or the document itself. Google and Yahoo are some of examples of document retrieval software that we could easily.
Then, what is the Semantic Search?
Again according to Wikipedia definition, Semantic Search is a research field that is going to improve the existing search performance based on information such as XML, RDF, etc. on the semantic network. This is a type of search using semantic information of language of computation on the similarity between search language and document as a context similar to Page Rank of Google, for example.
In fact the term of semantic search is used widely from the technology of NLP to the search technology using semantic technology as the concepts of the term semantic web and ontology appeared.
Consequently, the Semantic Search at this point of time is a new paradigm of search technology field that is being developed toward diversified technologies and service model.
2. Way of Semantic Search Access
As briefly commented above the reason of becoming issue at the point of semantic search introduction is to solve the common concerns of information retrieval business in that the main target is to provide search results matching to the intent of the users through development of search technology of search language similarity through computing the keyword appearance frequency in terms of TF-IDF(Term Frequency Inverse Document Frequency) and through understanding of the meaning of the information.
We would like to review the research and the development directions of semantic search. The semantic search that raised by the appearance of semantic web may be divided by two fields.
The first one is to seek information that semantically tagged instances through appropriate preparation of semantic query language and keyword search by semantic annotation of target document and modeling of domain knowledge (concept and relationship) as ontology languages such as RDF/S and OWL. And the other is to seek semantically tagged information of RDF/s or OWL existing on web. Actually, the former may be developed to the vertical search category in detailed domain or targeted to web category.

[Figure 1, Semantic Tagging of HTML]
Information expressed in HTML can be tagged in each semantic language. Key semantic languages include RDF, RDF/S, OWL, Microformat, and RDFa, etc., and are standardized technologies of W3C. Such semantic tagging is not limited to HTML and pre-defined meaning can be attached using semantic language to various data such as text information, HTML tag of relationship style of database (RDB), And the pre-defined meaning means ontology in the field of semantic web technology. Ontology may be defined independently according to domain and service type of information or already defined ontology including Dublin Core, SIOC, SKOS, FOAF, ResumeRDF, and DOAP can be referred and used.

[Figure 2, Data integration through SPAQL]
Query to information created through semantic tagging is possible to make through the semantic queries like SPARQL (Simple Protocol and RDF Query Language).
SPARQL is a W3C standard technology and is suitable query language to graph structured data such as RDF as an advanced step of DQL and RDQL.

[Figure 3, KERIS Semantic based search by Saltlux]
[Figure 3] shows the first access way case of semantic search applied to semantic search construction of Saltlux for KERRIS through query/search by semantic tagging of RBD data alike Oracle and adopt F-logic rule based reasoning.

[Figure 4, Museum Finland by SECO]
[Figure 4] shows Museum Finland project developed and accomplished by SECO(Semantic Computing Research Group) of Finland for the construction of knowledge base from museum information based on ontology mata data, that is similar to the case of KERRIS by Saltlux shown in Figure 3.
Semantic languages such as RDF and OWL accepted as standard by W3C have a broad and deep knowledge expression level and good to produce machine readable information through reasoning of description logic level.
And it has an advantage of integrated search by ontology and semantic query language. In the contrary it is necessary to adjust the level of expression because the current technology level is not sufficient for the automatic annotation of existing information. However, the research and development activities are in the progress to improve automatic annotation through information retrieval technologies such as text mining and NER(named entity recognition), and authoring tools that ease the semantic tagging to existing and being created documents and technologies such as RDFa and Microformat will surely activate the development of semantic search engine.

[Figure 5, SWSE by DERI]
[Figure 5] shows SWSE search engine developed by DERI Laboratories which searches and navigates the objects expressed by semantic web standard language in the object oriented concept. It supports interface that navigates the information to object units. This concept is not searching the text documents on the web but search concept of RDF resources in object units. SWSE collects billions of RDF documents from Falcon, Swoogle, Waston, and DBpedia data sets with separate unique URI and provides search services. SWSE processes the queries utilizing SPARQL, the W3C standard query language as an interior query engine.

[Figure 6, SWOOGLE by UMBC]
Ontology and semantic language resources on web can be retrieved by UMBC Swoogle in [Figure 6].
Secondly, in natural language search area through NLP it shows Q&A type search system presenting answer by analyzing natural language searched results in sentence type and semantic discovery. However, recent trend is to provide the search results in the balance of http://www.saltlux.com)/keyword search and sentence style search of Powerset (http://www.powerset.com/) as shown in [figure 7] from complex type of natural language query analysis.

[Figure 7, Search by powerset.com]
Sensebot(http://www.sensebot.net) of [Figure 8] is a search engine that provides summarized information of each site or documents as a result of search for the search word, not the web page list showing type of method. It provides summarized information through text mining by using Google type search engine. In this manner, research for semantic search area in view of linguistics utilizing NLP and text mining is being sustainably processed.

[Figure 8, SenseBot Search Engine]
Next, search area through browsing with visual function shows related information through additional information tagging to search index language, and develops toward easy discovery by search user. This area is not called a separate semantic search but the trend of current search area together with the introduction of web 2.0 technology contains many functionalities. Owlim.com shown in [Figure 9] is a service that is utilized by search through automatic creation of relationship between words by using Korean language retrieval of individual and keyword co-occurrence, and it visually expresses the related information and searches the summary of the contents.

[Figure 9, Search by owlim.com by saltlux]

[Figure 10, search by evri.com]
By now we have reviewed academy and industrial approach methods to achieve the objectives of semantic search.
Meaning or semantic based search as it says is a term with wide range of domain and technology and is not easy to make a simple concrete definition.
In this writing our intention was to review areas of ontological search, text mining, and improving the keyword search utilizing semantic technology.
3. Conclusion
Search technology is a key technology of company’s in-house and web information flow. At every second of time keywords are input into numerous search sites and the results flows to the users. Search users are accustomed to the current search technology and they express by themselves the needs. User’s needs are quite diversified such as results meeting with purpose, additional related information, results that are easy to read and discover, time saving, solution of meaning publicity, etc. To meet with these needs research proceeds in the way of semantic search technology area.
As reviewed above cases the current semantic search technology is focused to develop a more advanced technology level using semantic search area including ontology and text mining. This may not be defined as a word of nonobjective semantic search development but R&D trend of communicating knowledge and discover information under the natural information search behavior and to provide better qualitative information to users ultimately.
Existing information retrieval is an acquainted technology and science familiar to us.
According to Wikipedia definition, it is one of the fields of science that is looking for the contents in a documents or the document itself. Google and Yahoo are some of examples of document retrieval software that we could easily.
Then, what is the Semantic Search?
Again according to Wikipedia definition, Semantic Search is a research field that is going to improve the existing search performance based on information such as XML, RDF, etc. on the semantic network. This is a type of search using semantic information of language of computation on the similarity between search language and document as a context similar to Page Rank of Google, for example.
In fact the term of semantic search is used widely from the technology of NLP to the search technology using semantic technology as the concepts of the term semantic web and ontology appeared.
Consequently, the Semantic Search at this point of time is a new paradigm of search technology field that is being developed toward diversified technologies and service model.
2. Way of Semantic Search Access
As briefly commented above the reason of becoming issue at the point of semantic search introduction is to solve the common concerns of information retrieval business in that the main target is to provide search results matching to the intent of the users through development of search technology of search language similarity through computing the keyword appearance frequency in terms of TF-IDF(Term Frequency Inverse Document Frequency) and through understanding of the meaning of the information.
We would like to review the research and the development directions of semantic search. The semantic search that raised by the appearance of semantic web may be divided by two fields.
The first one is to seek information that semantically tagged instances through appropriate preparation of semantic query language and keyword search by semantic annotation of target document and modeling of domain knowledge (concept and relationship) as ontology languages such as RDF/S and OWL. And the other is to seek semantically tagged information of RDF/s or OWL existing on web. Actually, the former may be developed to the vertical search category in detailed domain or targeted to web category.

[Figure 1, Semantic Tagging of HTML]
Information expressed in HTML can be tagged in each semantic language. Key semantic languages include RDF, RDF/S, OWL, Microformat, and RDFa, etc., and are standardized technologies of W3C. Such semantic tagging is not limited to HTML and pre-defined meaning can be attached using semantic language to various data such as text information, HTML tag of relationship style of database (RDB), And the pre-defined meaning means ontology in the field of semantic web technology. Ontology may be defined independently according to domain and service type of information or already defined ontology including Dublin Core, SIOC, SKOS, FOAF, ResumeRDF, and DOAP can be referred and used.

[Figure 2, Data integration through SPAQL]
Query to information created through semantic tagging is possible to make through the semantic queries like SPARQL (Simple Protocol and RDF Query Language).
SPARQL is a W3C standard technology and is suitable query language to graph structured data such as RDF as an advanced step of DQL and RDQL.

[Figure 3, KERIS Semantic based search by Saltlux]
[Figure 3] shows the first access way case of semantic search applied to semantic search construction of Saltlux for KERRIS through query/search by semantic tagging of RBD data alike Oracle and adopt F-logic rule based reasoning.

[Figure 4, Museum Finland by SECO]
[Figure 4] shows Museum Finland project developed and accomplished by SECO(Semantic Computing Research Group) of Finland for the construction of knowledge base from museum information based on ontology mata data, that is similar to the case of KERRIS by Saltlux shown in Figure 3.
Semantic languages such as RDF and OWL accepted as standard by W3C have a broad and deep knowledge expression level and good to produce machine readable information through reasoning of description logic level.
And it has an advantage of integrated search by ontology and semantic query language. In the contrary it is necessary to adjust the level of expression because the current technology level is not sufficient for the automatic annotation of existing information. However, the research and development activities are in the progress to improve automatic annotation through information retrieval technologies such as text mining and NER(named entity recognition), and authoring tools that ease the semantic tagging to existing and being created documents and technologies such as RDFa and Microformat will surely activate the development of semantic search engine.

[Figure 5, SWSE by DERI]
[Figure 5] shows SWSE search engine developed by DERI Laboratories which searches and navigates the objects expressed by semantic web standard language in the object oriented concept. It supports interface that navigates the information to object units. This concept is not searching the text documents on the web but search concept of RDF resources in object units. SWSE collects billions of RDF documents from Falcon, Swoogle, Waston, and DBpedia data sets with separate unique URI and provides search services. SWSE processes the queries utilizing SPARQL, the W3C standard query language as an interior query engine.

[Figure 6, SWOOGLE by UMBC]
Ontology and semantic language resources on web can be retrieved by UMBC Swoogle in [Figure 6].
Secondly, in natural language search area through NLP it shows Q&A type search system presenting answer by analyzing natural language searched results in sentence type and semantic discovery. However, recent trend is to provide the search results in the balance of http://www.saltlux.com)/keyword search and sentence style search of Powerset (http://www.powerset.com/) as shown in [figure 7] from complex type of natural language query analysis.

[Figure 7, Search by powerset.com]
Sensebot(http://www.sensebot.net) of [Figure 8] is a search engine that provides summarized information of each site or documents as a result of search for the search word, not the web page list showing type of method. It provides summarized information through text mining by using Google type search engine. In this manner, research for semantic search area in view of linguistics utilizing NLP and text mining is being sustainably processed.

[Figure 8, SenseBot Search Engine]
Next, search area through browsing with visual function shows related information through additional information tagging to search index language, and develops toward easy discovery by search user. This area is not called a separate semantic search but the trend of current search area together with the introduction of web 2.0 technology contains many functionalities. Owlim.com shown in [Figure 9] is a service that is utilized by search through automatic creation of relationship between words by using Korean language retrieval of individual and keyword co-occurrence, and it visually expresses the related information and searches the summary of the contents.

[Figure 9, Search by owlim.com by saltlux]

[Figure 10, search by evri.com]
By now we have reviewed academy and industrial approach methods to achieve the objectives of semantic search.
Meaning or semantic based search as it says is a term with wide range of domain and technology and is not easy to make a simple concrete definition.
In this writing our intention was to review areas of ontological search, text mining, and improving the keyword search utilizing semantic technology.
3. Conclusion
Search technology is a key technology of company’s in-house and web information flow. At every second of time keywords are input into numerous search sites and the results flows to the users. Search users are accustomed to the current search technology and they express by themselves the needs. User’s needs are quite diversified such as results meeting with purpose, additional related information, results that are easy to read and discover, time saving, solution of meaning publicity, etc. To meet with these needs research proceeds in the way of semantic search technology area.
As reviewed above cases the current semantic search technology is focused to develop a more advanced technology level using semantic search area including ontology and text mining. This may not be defined as a word of nonobjective semantic search development but R&D trend of communicating knowledge and discover information under the natural information search behavior and to provide better qualitative information to users ultimately.
Great Success , Search & Discovery Seminar of Saltlux
Saltlux Inc. ( www.saltlux.com), one of the world leaders in semantic search market has successfully finished the first seminar of “Search and Discovery that leads the knowledge world” on April 27 this year at the COEX Grand Ballroom in Samsung-dong Seoul, Korea.
In this seminar Saltlux introduced the way to improve the value of the in-house knowledge asset of an enterprise through storage, sharing and utilization of documents to its partner companies and customers.
At the introductory presentation Tony Lee, the president and CEO of Saltlux emphasized, “Even so huge number of documents produced in a corporate production processes and know-hows could not be shared in the organization because of the difficulties to share registration or upload method and worries of problem disclosure due to the egocentric mind for the team and only the final results shared. To resolve this issue an organization needs to have an easy automation system to use with a reasonable introduction costs, easy setting and operation of the system without a skilled IT specialist, and with strong security function and flexible connectivity.”
Saltlux introduced a hardware integrated [IN2]SearchBox that enables a document archive and intellectual search as a way to resolve this issue at this seminar and through which a corporate could improve business productivity and efficiency with a simultaneous saving the cost.
Through use case of [IN2]SearchBox system by a patent agent, a consulting company and a research laboratory of a university, HyungJune Park of Saltlux emphasized, “The needs for search and share are urgent because of the information quantity is tremendously increased by documents electronization. And the past record reference job is also increasing in dealing with the similar documents and project. And [IN2]SearchBox would be the answer for the solution to this issue.”
At the seminar Saltlux also introduced [IN2]Discovery that is being launched in May this year. [IN2]Discovery is a semantic search platform that provides insight through reorganization and analysis of information, and that helps for the decision making through discovery and utilization of hidden information.
Saltlux is planning to hold a seminar on analysis and utilization of information in commemoration of [IN2]Discovery launch under the theme of “Search and Discovery that leads the knowledge world, the second story” late May.
In this seminar Saltlux introduced the way to improve the value of the in-house knowledge asset of an enterprise through storage, sharing and utilization of documents to its partner companies and customers.
At the introductory presentation Tony Lee, the president and CEO of Saltlux emphasized, “Even so huge number of documents produced in a corporate production processes and know-hows could not be shared in the organization because of the difficulties to share registration or upload method and worries of problem disclosure due to the egocentric mind for the team and only the final results shared. To resolve this issue an organization needs to have an easy automation system to use with a reasonable introduction costs, easy setting and operation of the system without a skilled IT specialist, and with strong security function and flexible connectivity.”
Saltlux introduced a hardware integrated [IN2]SearchBox that enables a document archive and intellectual search as a way to resolve this issue at this seminar and through which a corporate could improve business productivity and efficiency with a simultaneous saving the cost.
Through use case of [IN2]SearchBox system by a patent agent, a consulting company and a research laboratory of a university, HyungJune Park of Saltlux emphasized, “The needs for search and share are urgent because of the information quantity is tremendously increased by documents electronization. And the past record reference job is also increasing in dealing with the similar documents and project. And [IN2]SearchBox would be the answer for the solution to this issue.”
At the seminar Saltlux also introduced [IN2]Discovery that is being launched in May this year. [IN2]Discovery is a semantic search platform that provides insight through reorganization and analysis of information, and that helps for the decision making through discovery and utilization of hidden information.
Saltlux is planning to hold a seminar on analysis and utilization of information in commemoration of [IN2]Discovery launch under the theme of “Search and Discovery that leads the knowledge world, the second story” late May.
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