<dependency>
  <groupId> com.tr.tms.abstractionLayer</groupId>
  <artifactId>calaisModel.java</artifactId>
  <version>The release number of the Abstraction Layer.(See the Note, below.)</version>
</dependency>

        
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import com.tr.tms.abstractionLayer.CalaisModel;
import com.tr.tms.abstractionLayer.CalaisModelCreator;
import com.tr.tms.abstractionLayer.engine.Engine;
 
import java.util.Set;
 
public class HelloCalaisModel {
 public static void main(String[] args) {
 // read RDF file from disk
 String path2file = “<path-to-rdf-output>”;
 CalaisModel calaisModel = CalaisModelCreator.readFile(path2file,
 Engine.Format.RDF);
 
 // get all types found in RDF
 Set<String> allTypes = calaisModel.getAllTypes();
 for (String type : allTypes) {
 System.out.println(type);
 }
 }
}

        
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http://s.opencalais.com/1/type/em/e/Company
http://s.opencalais.com/1/type/em/r/Quotation
http://s.opencalais.com/1/type/cat/DocCat
http://s.opencalais.com/1/type/tag/SocialTag
http://s.opencalais.com/1/type/em/e/Technology
http://s.opencalais.com/1/type/tag/Confidence
http://s.opencalais.com/1/type/er/Company
…

        
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List<CalaisObject> extractedCompanies = calaisModel.getCalaisObjectByType(“http://s.opencalais.com/1/type/em/e/Company");
 
for (CalaisObject extractedCompany : extractedCompanies) {
 
   Map<String, List<String>> literals = extractedCompany.getLiterals();
 
   List<String> companyName = literals.get("http://s.opencalais.com/1/pred/name");
 
   List<String> confidenceLevel = literals.get("http://s.opencalais.com/1/pred/
 
confidencelevel");
 
   String line2print = String.format("Company [%s] is extracted with [%s] confidence",
 
   companyName.get(0), confidenceLevel.get(0));
 
System.out.println(line2print);
 
}

        
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Company [C.J. Heo] is extracted with [0.765] confidence
 
Company [Huawei Technologies Co Ltd] is extracted with [0.993] confidence
 
Company [Qualcomm] is extracted with [0.904] confidence
 
Company [Nokia Corp] is extracted with [0.957] confidence
 
Company [Ericsson] is extracted with [0.893] confidence
 
Company [Intel Corp.] is extracted with [0.999] confidence
 
Company [Reuters] is extracted with [0.789] confidence
 
Company [Verizon Communications Inc] is extracted with [0.999] confidence
 
Company [Samsung Electronics] is extracted with [0.974] confidence

        
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public static void main(String[] args) {
    final CalaisModel calaisModel = CalaisModelCreator.readFile("path\\OutputRDFFile.xml", Format.RDF);
    List<CalaisObject> extractedCompanies = calaisModel.getCalaisObjectByType("http://s.opencalais.com/1/type/em/e/Company");
    for (CalaisObject extractedCompany : extractedCompanies) {
        Map<String, List<String>> literals = extractedCompany.getLiterals();
        List<String> confidencelevel = literals.get("http://s.opencalais.com/1/pred/confidencelevel");
        //get only companies with confidencelevel greater then 0.8
        if(Double.parseDouble(confidencelevel.get(0)) > 0.8){
            Map<String, List<CalaisObject>> backReferencesSubjectField = extractedCompany.getBackReferencesByFieldName("http://s.opencalais.com/1/pred/subject");
            //get the list of resolved (disambiguated) companies
            List<CalaisObject> resolvedCompanies = backReferencesSubjectField.get("http://s.opencalais.com/1/type/er/Company");
            for (CalaisObject resolvedCompany : resolvedCompanies) {
                Map<String, List<String>> resolvedCompanyLiterals = resolvedCompany.getLiterals();
                List<String> score = resolvedCompanyLiterals.get("http://s.opencalais.com/1/pred/score");
                if(Double.parseDouble(score.get(0)) > 0.85){
                    List<String> companyName = literals.get("http://s.opencalais.com/1/pred/name");
                    List<String> permId = resolvedCompanyLiterals.get("http://s.opencalais.com/1/pred/permid");
                    List<String> ticker = resolvedCompanyLiterals.get("http://s.opencalais.com/1/pred/ticker");
                    List<String> commonname = resolvedCompanyLiterals.get("http://s.opencalais.com/1/pred/commonname");
                    List<String> primaryric = resolvedCompanyLiterals.get("http://s.opencalais.com/1/pred/primaryric");
                    //get the InstanceInfo details
                    List<CalaisObject> backReferencesInstanceInfo = backReferencesSubjectField.get("http://s.opencalais.com/1/type/sys/InstanceInfo");
                    for (CalaisObject instanceInfo : backReferencesInstanceInfo) {
                        Map<String, List<String>> instanceInfoLiterals = instanceInfo.getLiterals();
                        List<String> exact = instanceInfoLiterals.get("http://s.opencalais.com/1/pred/exact");
                        List<String> offset = instanceInfoLiterals.get("http://s.opencalais.com/1/pred/offset");
                        System.out.println(String.format("found the company:%s, at the offset:%s.\ncompany details:" +
                                "\ncompany name:%s,\npermId:%s,\nticker:%s,\ncommon name:%s,\nprimaryRic:%s",exact, offset, companyName, permId, ticker, commonname,primaryric));
                    }
                }
            }
        }
    }

        
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public static void fromPDF() {
        final CalaisModel calaisModel = CalaisModelCreator.readFile("/home/xxx/PROJECTS/abs/src/main/resources/big.xml", Engine.Format.RDF);
 
        List<CalaisObject> extractedPersons = calaisModel.getCalaisObjectByType("http://s.opencalais.com/1/type/em/e/Person");
 
        System.out.println("Info from extracted persons:");
        for (CalaisObject extractedPerson : extractedPersons) {
            String[] literalKeys = {
                    "http://s.opencalais.com/1/pred/name",
                    "http://s.opencalais.com/1/pred/nationality",
                    "http://s.opencalais.com/1/pred/commonname",
                    "http://s.opencalais.com/1/pred/firstname",
                    "http://s.opencalais.com/1/pred/confidencelevel",
                    "http://s.opencalais.com/1/pred/lastname",
                    "http://s.opencalais.com/1/pred/persontype",
                    "http://s.opencalais.com/1/pred/forenduserdisplay"
            };
            Map<String, List<String>> literals = extractedPerson.getLiterals();
            System.out.println("Person with flowing info was extracted");
            for (String str : literalKeys) {
                if (literals.containsKey(str) && !literals.get(str).get(0).equals("N/A")) {
                    String keyName = str.substring("http://s.opencalais.com/1/pred/".length(), str.length());
                    String value = literals.get(str).get(0);
                    System.out.println(String.format("%s: %s", keyName, value));
                }
            }
            System.out.println("***");
        }
 
        System.out.println("***");
        System.out.println("***");
        System.out.println("***");
 
        System.out.println("Info from resulved persons:");
        for (CalaisObject extractedPerson : extractedPersons) {
            Map<String, List<String>> literals = extractedPerson.getLiterals();
            List<String> confidenceLevel = literals.get("http://s.opencalais.com/1/pred/confidencelevel");
            if (confidenceLevel != null && Double.parseDouble(confidenceLevel.get(0)) > 0.8) {
                Map<String, List<CalaisObject>> backReferencesSubjectField =
                        extractedPerson.getBackReferencesByFieldName("http://s.opencalais.com/1/pred/subject");
                //get the list of resolved (disambiguated) companies
                List<CalaisObject> resolvedPersons =
                        backReferencesSubjectField.get("http://s.opencalais.com/1/type/er/Person");
 
                if (resolvedPersons != null) {
                    for (CalaisObject resolvedPerson : resolvedPersons) {
                        Map<String, List<String>> resolvedPersonLiterals = resolvedPerson.getLiterals();
                        List<String> score =
                                resolvedPersonLiterals.get("http://s.opencalais.com/1/pred/score");
                        if (Double.parseDouble(score.get(0)) > 0.85) {
                            List<String> personName = literals.get("http://s.opencalais.com/1/pred/name");
                            List<String> commonname =
                                    resolvedPersonLiterals.get("http://s.opencalais.com/1/pred/commonname");
                            List<String> personId =
                                    resolvedPersonLiterals.get("http://s.opencalais.com/1/pred/personid");
                            List<String> officeId =
                                    resolvedPersonLiterals.get("http://s.opencalais.com/1/pred/officeid");
                            //get the InstanceInfo details
                            List<CalaisObject> backReferencesInstanceInfo =
                                    backReferencesSubjectField.get("http://s.opencalais.com/1/type/sys/InstanceInfo");
                            for (CalaisObject instanceInfo : backReferencesInstanceInfo) {
                                Map<String, List<String>> instanceInfoLiterals = instanceInfo.getLiterals();
                                List<String> exact =
                                        instanceInfoLiterals.get("http://s.opencalais.com/1/pred/exact");
                                List<String> offset =
                                        instanceInfoLiterals.get("http://s.opencalais.com/1/pred/offset");
                                System.out.println(String.format("found the person: %s, at the offset: %s.\nperson details: \nperson name:%s,\npesoncommonname:%s,\npersonid:%s,\nofficeid:%s", exact, offset, personName, commonname, personId, officeId));
                            }
                        }
                        System.out.println("***");
                    }
                }
 
            }
        }
            System.out.println("***");
            System.out.println("***");
            System.out.println("***");
 
 
    }

        
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Info from extracted persons:
Person with flowing info was extracted
name: Satya Nadella
commonname: Satya Nadella
firstname: Satya
confidencelevel: 0.864
lastname: Nadella
persontype: economic
forenduserdisplay: true
***
Person with flowing info was extracted
name: Jeff Bezos
commonname: Jeff Bezos
firstname: Jeff
confidencelevel: 0.99
lastname: Bezos
persontype: economic
forenduserdisplay: true
***
Person with flowing info was extracted
name: Travis Kalanick
commonname: Travis Kalanick
firstname: Travis
confidencelevel: 0.95
lastname: Kalanick
forenduserdisplay: true
***
***
***
***
Info from resolved persons:
found the person: [Satya Nadella], at the offset: [355].
person details: 
person name:[Satya Nadella],
pesoncommonname:[Satya Nadella],
personid:[194765],
officeid:null
***
found the person: [Jeff Bezos], at the offset: [95].
person details: 
person name:[Jeff Bezos],
pesoncommonname:[Jeff Bezos],
personid:[90915],
officeid:null
***
***
***
***
 
Process finished with exit code 0

        
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public static void fromPDF() {
        final CalaisModel calaisModel = CalaisModelCreator.readFile("/home/mgershen/PROJECTS/abs/src/main/resources/from_perm.xml", Engine.Format.RDF);
 
        System.out.println("***");
        System.out.println("Entities:");
        System.out.println("Companies:");
        List<CalaisObject> companies = calaisModel.getCalaisObjectByType("http://s.opencalais.com/1/type/em/e/Company");
        for (CalaisObject calaisObject : companies) {
            String name = calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/name").get(0);
 
            String confidence = calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/confidencelevel").get(0);
            String permId = "";
            try {
                permId = calaisObject.getBackReferencesByFieldName("http://s.opencalais.com/1/pred/subject").get("http://s.opencalais.com/1/type/er/Company").get(0).getLiterals().get("http://s.opencalais.com/1/pred/permid").get(0);
            } catch (Exception e){
                System.out.println("Failed getting resolved company ids for "+ name);
            }
            String relevance = calaisObject.getBackReferences().get("http://s.opencalais.com/1/pred/subject").get("http://s.opencalais.com/1/type/sys/RelevanceInfo").get(0).getLiterals().get("http://s.opencalais.com/1/pred/relevance").get(0);
 
 
            System.out.println(String.format(
                    "Company '%s' was extracted with confidence '%s. Resolved permid is '%s'. The relevance of the subject is '%s'",
                    name,
                    confidence,
                    permId,
                    relevance
            ));
        }

        
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        System.out.println("*");
 
        System.out.println("Persons:");
        List<CalaisObject> persons = calaisModel.getCalaisObjectByType("http://s.opencalais.com/1/type/em/e/Person");
        for (CalaisObject calaisObject : persons) {
            String name = calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/name").get(0);
 
            String confidence = calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/confidencelevel").get(0);
            String resolvedPersonId = "";
            try {
                resolvedPersonId = calaisObject.getBackReferencesByFieldName("http://s.opencalais.com/1/pred/subject").get("http://s.opencalais.com/1/type/er/Person").get(0).getLiterals().get("http://s.opencalais.com/1/pred/personid").get(0);
            } catch (Exception e){
                System.out.println("Failed getting resolved person is for "+ name);
            }
            String relevance = calaisObject.getBackReferences().get("http://s.opencalais.com/1/pred/subject").get("http://s.opencalais.com/1/type/sys/RelevanceInfo").get(0).getLiterals().get("http://s.opencalais.com/1/pred/relevance").get(0);
 
 
            System.out.println(String.format(
                    "Person '%s' was extracted with confidence '%s. Resolved person ID is '%s'. The relevance of the subject is '%s'",
                    name,
                    confidence,
                    resolvedPersonId,
                    relevance
            ));
        }

        
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        System.out.println("");
        System.out.println("***");
        System.out.println("Relations:");
        System.out.println("Company locations:");
        List<CalaisObject> companyLocation = calaisModel.getCalaisObjectByType("http://s.opencalais.com/1/type/em/r/CompanyLocation");
        for (CalaisObject calaisObject : companyLocation) {
            String company = calaisObject.getReferences().get("http://s.opencalais.com/1/pred/company").get(0).getLiterals().get("http://s.opencalais.com/1/pred/name").get(0);
            String companyLocationType = calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/companylocationtype").get(0);
            String city = calaisObject.getReferences().get("http://s.opencalais.com/1/pred/city").get(0).getLiterals().get("http://s.opencalais.com/1/pred/name").get(0);
            String provinceOrState = calaisObject.getReferences().get("http://s.opencalais.com/1/pred/provinceorstate").get(0).getLiterals().get("http://s.opencalais.com/1/pred/name").get(0);
            String country = calaisObject.getReferences().get("http://s.opencalais.com/1/pred/city").get(0).getBackReferencesByFieldName("http://s.opencalais.com/1/pred/subject").get("http://s.opencalais.com/1/type/er/Geo/City").get(0).getLiterals().get("http://s.opencalais.com/1/pred/containedbycountry").get(0);
            String forEndUserDisplay = calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/forenduserdisplay").get(0);
 
            System.out.println(String.format(
                    "Company '%s' has a location of type '%s' in city '%s' province (or state) '%s' country '%s'. User display is '%s'",
                    company,
                    companyLocationType,
                    city,
                    provinceOrState,
                    country,
                    forEndUserDisplay
            ));
        }

        
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System.out.println("*");
 
        System.out.println("Person Careers:");
        List<CalaisObject> personCareer = calaisModel.getCalaisObjectByType("http://s.opencalais.com/1/type/em/r/PersonCareer");
        for (CalaisObject calaisObject : personCareer) {
            String careerType = calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/careertype").get(0);
            String forEndUserDisplay = calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/forenduserdisplay").get(0);
            String position = calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/position").get(0);
            String status = calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/status").get(0);
            String positionNormalized = calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/positionnormalized").get(0);
 
            String city = "";
            String provinceState = calaisObject.getReferences().get("http://s.opencalais.com/1/pred/provinceorstate").get(0).getLiterals().get("http://s.opencalais.com/1/pred/name").get(0);
            String country = calaisObject.getReferences().get("http://s.opencalais.com/1/pred/provinceorstate").get(0).getBackReferencesByFieldName("http://s.opencalais.com/1/pred/subject").get("http://s.opencalais.com/1/type/er/Geo/ProvinceOrState").get(0).getLiterals().get("http://s.opencalais.com/1/pred/containedbycountry").get(0);
            String company = calaisObject.getReferences().get("http://s.opencalais.com/1/pred/company").get(0).getLiterals().get("http://s.opencalais.com/1/pred/name").get(0);
            String resulvedCompanyName = calaisObject.getReferences().get("http://s.opencalais.com/1/pred/company").get(0).getBackReferencesByFieldName("http://s.opencalais.com/1/pred/subject").get("http://s.opencalais.com/1/type/er/Company").get(0).getLiterals().get("http://s.opencalais.com/1/pred/name").get(0);
            String person = calaisObject.getReferences().get("http://s.opencalais.com/1/pred/person").get(0).getLiterals().get("http://s.opencalais.com/1/pred/name").get(0);
            System.out.println(String.format(
                    "Person '%s' has a career type '%s' with position '%s' (normalized: '%s') with status '%s' in company '%s' (resolved company name: '%s') located in city '%s' province (or state) '%s' country '%s'. User display is '%s'",
                    person,
                    careerType,
                    position,
                    positionNormalized,
                    status,
                    company,
                    resolvedCompanyName,
                    city,
                    provinceOrState,
                    country,
                    forEndUserDisplay
            ));
        }
 
        System.out.println("***");

        
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        System.out.println("");
        System.out.println("***");
        System.out.println("Industry:");
        List<CalaisObject> extractedIndustry = calaisModel.getCalaisObjectByType("http://s.opencalais.com/1/type/tag/Industry");
        for (CalaisObject calaisObject : extractedIndustry) {
            System.out.println(String.format("'%s'",
                    calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/name").get(0)));
        }

        
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        System.out.println("***");
        System.out.println("");
        System.out.println("***");
        System.out.println("Social Tags:");
        List<CalaisObject> extractedSocialTags = calaisModel.getCalaisObjectByType("http://s.opencalais.com/1/type/tag/SocialTag");
        for (CalaisObject calaisObject : extractedSocialTags) {
            System.out.println(String.format("'%s' with importance '%s'",
                    calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/name").get(0),
                    calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/importance").get(0)));
        }
        System.out.println("***");

        
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        System.out.println("");
        System.out.println("***");
        System.out.println("Doc Categories (AKA Topics):");
        List<CalaisObject> extractedDocCats = calaisModel.getCalaisObjectByType("http://s.opencalais.com/1/type/cat/DocCat");
        for (CalaisObject calaisObject : extractedDocCats) {
            System.out.println(String.format("'%s' with confidence score '%s'",
                    calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/name").get(0),
                    calaisObject.getLiterals().get("http://s.opencalais.com/1/pred/score").get(0)));
        }
        System.out.println("***");
 
    }

        
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***
Entities:
Companies:
Company 'Microsoft Corp' was extracted with confidence '0.999. Resolved permid is '4295907168'. The relevance of the subject is '0.8'
Company 'The Microsoft' was extracted with confidence '1.0. Resolved permid is '4295907168'. The relevance of the subject is '0.8'
*
Persons:
Person 'Brad Smith' was extracted with confidence '0.999. Resolved person ID is '199715'. The relevance of the subject is '0.2'
Failed getting resolved person is for Brian Snyder
Person 'Brian Snyder' was extracted with confidence '0.994. Resolved person ID is ''. The relevance of the subject is '0.2'
 
***
Relations:
Company locations:
Company 'Microsoft Corp' has a location of type 'office' in city 'Cambridge' province (or state) 'Massachusetts' country 'United States'. User display is 'true'
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Person Careers:
Person 'Brad Smith' has a career type 'professional' with position 'Chief Legal Officer' (normalized: 'attorney') with status 'current' in company 'Microsoft Corp' (resolved company name: 'MICROSOFT CORPORATION') located in city '' province (or state) 'Massachusetts' country 'United States'. User display is 'true'
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Industry:
'Software - NEC'
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Social Tags:
'Computing' with importance '1'
'Business' with importance '1'
'Technology' with importance '1'
'Privacy of telecommunications' with importance '2'
'Microsoft' with importance '2'
'Privacy' with importance '2'
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Doc Categories (AKA Topics):
'Regulation' with confidence score '0.023'
'Judicial Process / Court Cases / Court Decisions' with confidence score '0.884'
'Software (TRBC)' with confidence score '0.529'
'Fundamental Rights / Civil Liberties' with confidence score '0.273'
'Law_Crime' with confidence score '0.867'
'Politics' with confidence score '0.889'
'Crime' with confidence score '0.462'
'Corporate Litigation' with confidence score '0.3'
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Process finished with exit code 0

        
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